Token导航 LogoToken导航TokenDH.com
研究检索权限需确认github未标认证来源可访问许可证需确认审计通过

understandunderstand 分析

Agent Skill

understand 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,763

周安装

160

GitHub Stars

9,397

下载量

1,318
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:understand(understand 分析)
来源仓库:https://github.com/lum1104/understand-anything
仓库路径:skills/understand
安装命令:
npx skills add https://github.com/lum1104/understand-anything --skill understand
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/lum1104/understand-anything --skill understand

简介

用于查找、检索和筛选相关信息。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

  • 适合根据关键词、任务场景或来源线索快速定位候选结果。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否会触发联网或文件读写。
  • understand 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

/understand

Analyze the current codebase and produce a knowledge-graph.json file in .understand-anything/. This file powers the interactive dashboard for exploring the project's architecture.

Options

  • $ARGUMENTS may contain:

- --full — Force a full rebuild, ignoring any existing graph - --auto-update — Enable automatic graph updates on commit (writes autoUpdate: true to .understand-anything/config.json) - --no-auto-update — Disable automatic graph updates (writes autoUpdate: false to .understand-anything/config.json) - --review — Run full LLM graph-reviewer instead of inline deterministic validation - A directory path (e.g. /path/to/repo or ../other-project) — Analyze the given directory instead of the current working directory


Phase 0 — Pre-flight

Determine whether to run a full analysis or incremental update.

  1. Resolve PROJECT_ROOT: Important: do not assume the plugin root is simply two directories above the skill path string. In many installations ~/.agents/skills/understand is a symlink into the real plugin checkout. Prefer runtime-provided plugin roots first (for Claude), then fall back to universal symlinks, skill symlink resolution, and common clone-based install paths. Resolve the plugin root like this: SKILL_REAL=$(realpath ~/.agents/skills/understand 2>/dev/null || readlink -f ~/.agents/skills/understand 2>/dev/null || echo "") SELF_RELATIVE=$([-n "$SKILL_REAL"] && cd "$SKILL_REAL/../.." 2>/dev/null && pwd || echo "") COPILOT_SKILL_REAL=$(realpath ~/.copilot/skills/understand 2>/dev/null || readlink -f ~/.copilot/skills/understand 2>/dev/null || echo "") COPILOT_SELF_RELATIVE=$([-n "$COPILOT_SKILL_REAL"] && cd "$COPILOT_SKILL_REAL/../.." 2>/dev/null && pwd || echo "") PLUGIN_ROOT="" for candidate in \ "${CLAUDE_PLUGIN_ROOT}" \ "$HOME/.understand-anything-plugin" \ "$SELF_RELATIVE" \ "$COPILOT_SELF_RELATIVE" \ "$HOME/.codex/understand-anything/understand-anything-plugin" \ "$HOME/.opencode/understand-anything/understand-anything-plugin" \ "$HOME/.pi/understand-anything/understand-anything-plugin" \ "$HOME/understand-anything/understand-anything-plugin"; do if [-n "$candidate"] && [-f "$candidate/package.json"] && [-f "$candidate/pnpm-workspace.yaml"]; then PLUGIN_ROOT="$candidate" break fi done if [-z "$PLUGIN_ROOT"]; then echo "Error: Cannot find the understand-anything plugin root." echo "Checked:" echo " - ${CLAUDE_PLUGIN_ROOT:-<unset CLAUDE_PLUGIN_ROOT>}" echo " - $HOME/.understand-anything-plugin" echo " - ${SELF_RELATIVE:-<unresolved path derived from ~/.agents/skills/understand>}" echo " - ${COPILOT_SELF_RELATIVE:-<unresolved path derived from ~/.copilot/skills/understand>}" echo " - $HOME/.codex/understand-anything/understand-anything-plugin" echo " - $HOME/.opencode/understand-anything/understand-anything-plugin" echo " - $HOME/.pi/understand-anything/understand-anything-plugin" echo " - $HOME/understand-anything/understand-anything-plugin" echo "Make sure the plugin is installed correctly." exit 1 fi if [! -f "$PLUGIN_ROOT/packages/core/dist/index.js"]; then cd "$PLUGIN_ROOT" && (pnpm install --frozen-lockfile 2>/dev/null || pnpm install) && pnpm --filter @understand-anything/core build fi If pnpm is missing, report to the user: "Install Node.js ≥ 22 and pnpm ≥ 10, then re-run /understand."

- Parse $ARGUMENTS for a non-flag token (any argument that does not start with --). If found, treat it as the target directory path. - If the path is relative, resolve it against the current working directory. - Verify the resolved path exists and is a directory (run test -d <path>). If it does not exist or is not a directory, report an error to the user and STOP. - Set PROJECT_ROOT to the resolved absolute path. - If no directory path argument is found, set PROJECT_ROOT to the current working directory. 1.5. Ensure the plugin is built. Later phases invoke Node scripts that import @understand-anything/core. On a fresh install packages/core/dist/ does not exist yet — build once.

  1. Get the current git commit hash: git rev-parse HEAD
  2. Create the intermediate and temp output directories: mkdir -p $PROJECT_ROOT/.understand-anything/intermediate mkdir -p $PROJECT_ROOT/.understand-anything/tmp

3.5. Auto-update configuration:

  • If --auto-update is in $ARGUMENTS: write {"autoUpdate": true} to $PROJECT_ROOT/.understand-anything/config.json
  • If --no-auto-update is in $ARGUMENTS: write {"autoUpdate": false} to $PROJECT_ROOT/.understand-anything/config.json
  • These flags only set the config — analysis proceeds normally regardless.
  1. Check for subdomain knowledge graphs to merge: List all *knowledge-graph*.json files in $PROJECT_ROOT/.understand-anything/ excluding knowledge-graph.json itself (e.g. frontend-knowledge-graph.json, backend-knowledge-graph.json). If any subdomain graphs exist, run the merge script bundled with this skill (located next to this SKILL.md file — use the skill directory path, not the project root): python <SKILL_DIR>/merge-subdomain-graphs.py $PROJECT_ROOT The script discovers subdomain graphs, loads the existing knowledge-graph.json as a base (if present), and merges everything into knowledge-graph.json (deduplicating nodes and edges). Report the merge summary to the user, then continue with the merged graph.
  2. Check if $PROJECT_ROOT/.understand-anything/knowledge-graph.json exists. If it does, read it.
  3. Check if $PROJECT_ROOT/.understand-anything/meta.json exists. If it does, read it to get gitCommitHash.
  4. Decision logic: Condition Action --full flag in $ARGUMENTS Full analysis (all phases) No existing graph or meta Full analysis (all phases) --review flag + existing graph + unchanged commit hash Skip to Phase 6 (review-only — reuse existing assembled graph) Existing graph + unchanged commit hash Ask the user: "The graph is up to date at this commit. Would you like to: (a) run a full rebuild (--full), (b) run the LLM graph reviewer (--review), or (c) do nothing?" Then follow their choice. If they pick (c), STOP. Existing graph + changed files Incremental update (re-analyze changed files only) Review-only path: Copy the existing knowledge-graph.json to $PROJECT_ROOT/.understand-anything/intermediate/assembled-graph.json, then jump directly to Phase 6 step 3. For incremental updates, get the changed file list: git diff <lastCommitHash>..HEAD --name-only If this returns no files, report "Graph is up to date" and STOP.
  5. Collect project context for subagent injection:

- Read README.md (or README.rst, readme.md) from $PROJECT_ROOT if it exists. Store as $README_CONTENT (first 3000 characters). - Read the primary package manifest (package.json, pyproject.toml, Cargo.toml, go.mod, pom.xml) if it exists. Store as $MANIFEST_CONTENT. - Capture the top-level directory tree: find $PROJECT_ROOT -maxdepth 2 -type f -not -path '*/node_modules/*' -not -path '*/.git/*' -not -path '*/dist/*' | head -100 Store as $DIR_TREE. - Detect the project entry point by checking for common patterns (in order): src/index.ts, src/main.ts, src/App.tsx, index.js, main.py, manage.py, app.py, wsgi.py, asgi.py, run.py, __main__.py, main.go, cmd/*/main.go, src/main.rs, src/lib.rs, src/main/java/**/Application.java, Program.cs, config.ru, index.php. Store first match as $ENTRY_POINT.


Phase 0.5 — Ignore Configuration

Set up and verify the .understandignore file before scanning.

  1. Check if $PROJECT_ROOT/.understand-anything/.understandignore exists.
  2. If it does NOT exist, generate a starter file:

- Run the following Node.js one-liner in $PROJECT_ROOT (reads .gitignore and deduplicates against built-in defaults): node -e " const fs = require('fs'); const path = require('path'); const root = process.cwd(); const defaults = ['node_modules/','node_modules','.git/','vendor/','venv/','.venv/','__pycache__/','dist/','dist','build/','build','out/','coverage/','coverage','.next/','.cache/','.turbo/','target/','obj/','*.lock','package-lock.json','yarn.lock','pnpm-lock.yaml','*.png','*.jpg','*.jpeg','*.gif','*.svg','*.ico','*.woff','*.woff2','*.ttf','*.eot','*.mp3','*.mp4','*.pdf','*.zip','*.tar','*.gz','*.min.js','*.min.css','*.map','*.generated.*','.idea/','.vscode/','LICENSE','.gitignore','.editorconfig','.prettierrc','.eslintrc*','*.log']; const norm = p => p.replace(/\/+$/, ''); const defaultSet = new Set(defaults.map(norm)); const header = '#.understandignore — patterns for files/dirs to exclude from analysis\n# Syntax: same as.gitignore (globs, # comments,! negation, trailing / for dirs)\n# Lines below are suggestions — uncomment to activate.\n# Use! prefix to force-include something excluded by defaults.\n#\n# Built-in defaults (always excluded unless negated):\n# node_modules/,.git/, dist/, build/, obj/, *.lock, *.min.js, etc.\n#\n'; let body = ''; const gitignorePath = path.join(root, '.gitignore'); if (fs.existsSync(gitignorePath)) {const gi = fs.readFileSync(gitignorePath, 'utf-8').split('\n').map(l => l.trim()).filter(l => l &&!l.startsWith('#')).filter(p =>!defaultSet.has(norm(p))); if (gi.length) {body += '# --- From.gitignore (uncomment to exclude) ---\n\n' + gi.map(p => '# ' + p).join('\n') + '\n\n';}} const dirs = ['__tests__','test','tests','fixtures','testdata','docs','examples','scripts','migrations','.storybook']; const found = dirs.filter(d => fs.existsSync(path.join(root, d))); if (found.length) {body += '# --- Detected directories (uncomment to exclude) ---\n\n' + found.map(d => '# ' + d + '/').join('\n') + '\n\n';} body += '# --- Test file patterns (uncomment to exclude) ---\n\n# *.test.*\n# *.spec.*\n# *.snap\n'; const outDir = path.join(root, '.understand-anything'); if (!fs.existsSync(outDir)) fs.mkdirSync(outDir, {recursive: true}); fs.writeFileSync(path.join(outDir, '.understandignore'), header + body); " - Report to the user: Generated .understand-anything/.understandignore with suggested exclusions based on your project structure. Please review it and uncomment any patterns you'd like to exclude from analysis. When ready, confirm to continue. - Wait for user confirmation before proceeding.

  1. If it already exists, report: Found .understand-anything/.understandignore. Review it if needed, then confirm to continue.

- Wait for user confirmation before proceeding.

  1. After confirmation, proceed to Phase 1.

Phase 1 — SCAN (Full analysis only)

Dispatch a subagent using the project-scanner agent definition (at agents/project-scanner.md). Append the following additional context:

Additional context from main session: Project README (first 3000 chars): `` $README_CONTENT ` Package manifest: ` $MANIFEST_CONTENT `` Use this context to produce more accurate project name, description, and framework detection. The README and manifest are authoritative — prefer their information over heuristics.

Pass these parameters in the dispatch prompt:

Scan this project directory to discover all project files (including non-code files like configs, docs, infrastructure), detect languages and frameworks. Project root: $PROJECT_ROOT Write output to: $PROJECT_ROOT/.understand-anything/intermediate/scan-result.json

After the subagent completes, read $PROJECT_ROOT/.understand-anything/intermediate/scan-result.json to get:

  • Project name, description
  • Languages, frameworks
  • File list with line counts and fileCategory per file (code, config, docs, infra, data, script, markup)
  • Complexity estimate
  • Import map (importMap): pre-resolved project-internal imports per file (non-code files have empty arrays)

Store importMap in memory as $IMPORT_MAP for use in Phase 2 batch construction. Store the file list as $FILE_LIST with fileCategory metadata for use in Phase 2 batch construction.

Gate check: If >100 files, inform the user and suggest scoping with a subdirectory argument. Proceed only if user confirms or add guidance that this may take a while.

If the scan result includes filteredByIgnore > 0, report:

Excluded {filteredByIgnore} files via .understandignore.

Phase 2 — ANALYZE

Full analysis path

Batch the file list from Phase 1 into groups of 20-30 files each (aim for ~25 files per batch for balanced sizes).

Batching strategy for non-code files:

  • Group related non-code files together in the same batch when possible:

- Dockerfile + docker-compose.yml +.dockerignore → same batch - SQL migration files → same batch (ordered by filename) - CI/CD config files (.github/workflows/*) → same batch - Documentation files (docs/*.md) → same batch

  • This allows the file-analyzer to create cross-file edges (e.g., docker-compose depends_on Dockerfile)
  • Non-code files can be mixed with code files in the same batch if batch sizes are small
  • Each file's fileCategory from Phase 1 must be included in the batch file list

For each batch, dispatch a subagent using the file-analyzer agent definition (at agents/file-analyzer.md). Run up to 5 subagents concurrently using parallel dispatch. Append the following additional context:

Additional context from main session: Project: <projectName><projectDescription> Languages: <languages from Phase 1>

Before dispatching each batch, construct batchImportData from $IMPORT_MAP:

batchImportData = {}
for each file in this batch:
  batchImportData[file.path] = $IMPORT_MAP[file.path] ?? []

Fill in batch-specific parameters below and dispatch:

Analyze these files and produce GraphNode and GraphEdge objects. Project root: $PROJECT_ROOT Project: <projectName> Languages: <languages> Batch index: <batchIndex> Skill directory (for bundled scripts): <SKILL_DIR> Write output to: $PROJECT_ROOT/.understand-anything/intermediate/batch-<batchIndex>.json Pre-resolved import data for this batch (use this for all import edge creation — do NOT re-resolve imports from source): ``json <batchImportData JSON> ` Files to analyze in this batch: 1. <path> (lines, fileCategory: <fileCategory>) 2. <path> (lines, fileCategory: <fileCategory>`)...

After ALL batches complete, run the merge-and-normalize script bundled with this skill (located next to this SKILL.md file — use the skill directory path, not the project root):

python <SKILL_DIR>/merge-batch-graphs.py $PROJECT_ROOT

This script reads all batch-*.json files from $PROJECT_ROOT/.understand-anything/intermediate/, then in one pass:

  • Combines all nodes and edges across batches
  • Normalizes node IDs (strips double prefixes, project-name prefixes, adds missing prefixes)
  • Normalizes complexity values (lowsimple, mediummoderate, highcomplex, etc.)
  • Rewrites edge references to match corrected node IDs
  • Deduplicates nodes by ID (keeps last occurrence) and edges by (source, target, type)
  • Drops dangling edges referencing missing nodes
  • Logs all corrections and dropped items to stderr

Output: $PROJECT_ROOT/.understand-anything/intermediate/assembled-graph.json

Include the script's warnings in $PHASE_WARNINGS for the reviewer.

Incremental update path

Use the changed files list from Phase 0. Batch and dispatch file-analyzer subagents using the same process as above (20-30 files per batch, up to 5 concurrent, with batchImportData constructed from $IMPORT_MAP), but only for changed files.

After batches complete:

  1. Remove old nodes whose filePath matches any changed file from the existing graph
  2. Remove old edges whose source or target references a removed node
  3. Write the pruned existing nodes/edges as batch-existing.json in the intermediate directory
  4. Run the same merge script — it will combine batch-existing.json with the fresh batch-*.json files: python <SKILL_DIR>/merge-batch-graphs.py $PROJECT_ROOT

Phase 3 — ASSEMBLE REVIEW

Dispatch a subagent using the assemble-reviewer agent definition (at agents/assemble-reviewer.md).

Pass these parameters in the dispatch prompt:

Review the assembled graph at $PROJECT_ROOT/.understand-anything/intermediate/assembled-graph.json. Project root: $PROJECT_ROOT Batch files are at: $PROJECT_ROOT/.understand-anything/intermediate/batch-*.json Write review output to: $PROJECT_ROOT/.understand-anything/intermediate/assemble-review.json Merge script report: `` <paste the full stderr output from merge-batch-graphs.py> ` **Import map for cross-batch edge verification:** `json $IMPORT_MAP ``

After the subagent completes, read $PROJECT_ROOT/.understand-anything/intermediate/assemble-review.json and add any notes to $PHASE_WARNINGS.


Phase 4 — ARCHITECTURE

Build the combined prompt template:

  1. Use the architecture-analyzer agent definition (at agents/architecture-analyzer.md).
  2. Language context injection: For each language detected in Phase 1 (e.g., python, markdown, dockerfile, yaml, sql, terraform, graphql, protobuf, shell, html, css), read the file at ./languages/<language-id>.md (e.g., ./languages/python.md, ./languages/dockerfile.md) and append its content after the base template under a ## Language Context header. If the file does not exist for a detected language, skip it silently and continue. These files are in the languages/ subdirectory next to this SKILL.md file. Include non-code language snippets — they provide edge patterns and summary styles for non-code files.
  3. Framework addendum injection: For each framework detected in Phase 1 (e.g., Django), read the file at ./frameworks/<framework-id-lowercase>.md (e.g., ./frameworks/django.md) and append its full content after the language context. If the file does not exist for a detected framework, skip it silently and continue. These files are in the frameworks/ subdirectory next to this SKILL.md file.

Append the language/framework context and the following additional context to the agent's prompt:

Additional context from main session: Frameworks detected: <frameworks from Phase 1> Directory tree (top 2 levels): `` $DIR_TREE `` Use the directory tree, language context, and framework addendums (appended above) to inform layer assignments. Directory structure is strong evidence for layer boundaries. Non-code files (config, docs, infrastructure, data) should be assigned to appropriate layers — see the prompt template for guidance.

Pass these parameters in the dispatch prompt:

Analyze this codebase's structure to identify architectural layers. Project root: $PROJECT_ROOT Write output to: $PROJECT_ROOT/.understand-anything/intermediate/layers.json Project: <projectName><projectDescription> File nodes (all node types — includes code files, config, document, service, pipeline, table, schema, resource, endpoint): ``json [list of {id, type, name, filePath, summary, tags} for ALL file-level nodes — omit complexity, languageNotes] ` Import edges: `json [list of edges with type "imports"] ` All edges (for cross-category analysis — includes configures, documents, deploys, triggers, etc.): `json [list of ALL edges — include all edge types] ``

After the subagent completes, read $PROJECT_ROOT/.understand-anything/intermediate/layers.json and normalize it into a final layers array. Apply these steps in order:

  1. Unwrap envelope: If the file contains {"layers": [...]} instead of a plain array, extract the inner array. (The prompt requests a plain array, but LLMs may still produce an envelope.)
  2. Rename legacy fields: If any layer object has a nodes field instead of nodeIds, rename nodesnodeIds. If nodes entries are objects with an id field rather than plain strings, extract just the id values into nodeIds.
  3. Synthesize missing IDs: If any layer is missing an id, generate one as layer:<kebab-case-name>.
  4. Convert file paths: If nodeIds entries are raw file paths without a known prefix (file:, config:, document:, service:, pipeline:, table:, schema:, resource:, endpoint:), convert them to file:<relative-path>.
  5. Drop dangling refs: Remove any nodeIds entries that do not exist in the merged node set.

Each element of the final layers array MUST have this shape:

[
  {
    "id": "layer:<kebab-case-name>",
    "name": "<layer name>",
    "description": "<what belongs in this layer>",
    "nodeIds": ["file:src/App.tsx", "config:tsconfig.json", "document:README.md"]
  }
]

All four fields (id, name, description, nodeIds) are required.

For incremental updates: Always re-run architecture analysis on the full merged node set, since layer assignments may shift when files change.

Context for incremental updates: When re-running architecture analysis, also inject the previous layer definitions:

Previous layer definitions (for naming consistency): ``json [previous layers from existing graph] `` Maintain the same layer names and IDs where possible. Only add/remove layers if the file structure has materially changed.

Phase 5 — TOUR

Dispatch a subagent using the tour-builder agent definition (at agents/tour-builder.md). Append the following additional context:

Additional context from main session: Project README (first 3000 chars): `` $README_CONTENT ` Project entry point: $ENTRY_POINT` Use the README to align the tour narrative with the project's own documentation. Start the tour from the entry point if one was detected. The tour should tell the same story the README tells, but through the lens of actual code structure.

Pass these parameters in the dispatch prompt:

Create a guided learning tour for this codebase. Project root: $PROJECT_ROOT Write output to: $PROJECT_ROOT/.understand-anything/intermediate/tour.json Project: <projectName><projectDescription> Languages: <languages> Nodes (all file-level nodes — includes code files, config, document, service, pipeline, table, schema, resource, endpoint): ``json [list of {id, name, filePath, summary, type} for ALL file-level nodes — do NOT include function or class nodes] ` Layers: `json [list of {id, name, description} for each layer — omit nodeIds] ` Edges (all types — includes imports, calls, configures, documents, deploys, triggers, etc.): `json [list of ALL edges — include all edge types for complete graph topology analysis] ``

After the subagent completes, read $PROJECT_ROOT/.understand-anything/intermediate/tour.json and normalize it into a final tour array. Apply these steps in order:

  1. Unwrap envelope: If the file contains {"steps": [...]} instead of a plain array, extract the inner array. (The prompt requests a plain array, but LLMs may still produce an envelope.)
  2. Rename legacy fields: If any step has nodesToInspect instead of nodeIds, rename it → nodeIds. If any step has whyItMatters instead of description, rename it → description.
  3. Convert file paths: If nodeIds entries are raw file paths without a known prefix (file:, config:, document:, service:, pipeline:, table:, schema:, resource:, endpoint:), convert them to file:<relative-path>.
  4. Drop dangling refs: Remove any nodeIds entries that do not exist in the merged node set.
  5. Sort by order before saving.

Each element of the final tour array MUST have this shape:

[
  {
    "order": 1,
    "title": "Project Overview",
    "description": "Start with the README to understand the project's purpose and architecture.",
    "nodeIds": ["document:README.md"]
  },
  {
    "order": 2,
    "title": "Application Entry Point",
    "description": "This step explains how the frontend boots and mounts.",
    "nodeIds": ["file:src/main.tsx", "file:src/App.tsx"]
  }
]

Required fields: order, title, description, nodeIds. Preserve optional languageLesson when present.


Phase 6 — REVIEW

Assemble the full KnowledgeGraph JSON object:

{
  "version": "1.0.0",
  "project": {
    "name": "<projectName>",
    "languages": ["<languages>"],
    "frameworks": ["<frameworks>"],
    "description": "<projectDescription>",
    "analyzedAt": "<ISO 8601 timestamp>",
    "gitCommitHash": "<commit hash from Phase 0>"
  },
  "nodes": [<all nodes from assembled-graph.json after Phase 3 review>],
  "edges": [<all edges from assembled-graph.json after Phase 3 review>],
  "layers": [<layers from Phase 4>],
  "tour": [<steps from Phase 5>]
}
  1. Before writing the assembled graph, validate that: If validation fails, automatically normalize and rewrite the graph into this shape before saving. If the graph still fails final validation after the normalization pass, save it with warnings but mark dashboard auto-launch as skipped.

- layers is an array of objects with these required fields: id, name, description, nodeIds - tour is an array of objects with these required fields: order, title, description, nodeIds - tour[*].languageLesson is allowed as an optional string field - Every layers[*].nodeIds entry exists in the merged node set - Every tour[*].nodeIds entry exists in the merged node set

  1. Write the assembled graph to $PROJECT_ROOT/.understand-anything/intermediate/assembled-graph.json.
  2. Check $ARGUMENTS for --review flag. Then run the appropriate validation path:

Default path (no --review): inline deterministic validation

Write the following Node.js script to $PROJECT_ROOT/.understand-anything/tmp/ua-inline-validate.cjs:

#!/usr/bin/env node
const fs = require('fs');
const graphPath = process.argv[2];
const outputPath = process.argv[3];
try {
  const graph = JSON.parse(fs.readFileSync(graphPath, 'utf8'));
  const issues = [], warnings = [];
  if (!Array.isArray(graph.nodes)) { issues.push('graph.nodes is missing or not an array'); graph.nodes = []; }
  if (!Array.isArray(graph.edges)) { issues.push('graph.edges is missing or not an array'); graph.edges = []; }
  const nodeIds = new Set();
  const seen = new Map();
  graph.nodes.forEach((n, i) => {
    if (!n.id) { issues.push(`Node[${i}] missing id`); return; }
    if (!n.type) issues.push(`Node[${i}] '${n.id}' missing type`);
    if (!n.name) issues.push(`Node[${i}] '${n.id}' missing name`);
    if (!n.summary) issues.push(`Node[${i}] '${n.id}' missing summary`);
    if (!n.tags || !n.tags.length) issues.push(`Node[${i}] '${n.id}' missing tags`);
    if (seen.has(n.id)) issues.push(`Duplicate node ID '${n.id}' at indices ${seen.get(n.id)} and ${i}`);
    else seen.set(n.id, i);
    nodeIds.add(n.id);
  });
  graph.edges.forEach((e, i) => {
    if (!nodeIds.has(e.source)) issues.push(`Edge[${i}] source '${e.source}' not found`);
    if (!nodeIds.has(e.target)) issues.push(`Edge[${i}] target '${e.target}' not found`);
  });
  const fileLevelTypes = new Set(['file', 'config', 'document', 'service', 'pipeline', 'table', 'schema', 'resource', 'endpoint']);
  const fileNodes = graph.nodes.filter(n => fileLevelTypes.has(n.type)).map(n => n.id);
  const assigned = new Map();
  if (!Array.isArray(graph.layers)) { if (graph.layers) warnings.push('graph.layers is not an array'); graph.layers = []; }
  if (!Array.isArray(graph.tour)) { if (graph.tour) warnings.push('graph.tour is not an array'); graph.tour = []; }
  graph.layers.forEach(layer => {
    (layer.nodeIds || []).forEach(id => {
      if (!nodeIds.has(id)) issues.push(`Layer '${layer.id}' refs missing node '${id}'`);
      if (assigned.has(id)) issues.push(`Node '${id}' appears in multiple layers`);
      assigned.set(id, layer.id);
    });
  });
  fileNodes.forEach(id => {
    if (!assigned.has(id)) issues.push(`File node '${id}' not in any layer`);
  });
  graph.tour.forEach((step, i) => {
    (step.nodeIds || []).forEach(id => {
      if (!nodeIds.has(id)) issues.push(`Tour step[${i}] refs missing node '${id}'`);
    });
  });
  const withEdges = new Set([
    ...graph.edges.map(e => e.source),
    ...graph.edges.map(e => e.target)
  ]);
  graph.nodes.forEach(n => {
    if (!withEdges.has(n.id)) warnings.push(`Node '${n.id}' has no edges (orphan)`);
  });
  const stats = {
    totalNodes: graph.nodes.length,
    totalEdges: graph.edges.length,
    totalLayers: graph.layers.length,
    tourSteps: graph.tour.length,
    nodeTypes: graph.nodes.reduce((a, n) => { a[n.type] = (a[n.type]||0)+1; return a; }, {}),
    edgeTypes: graph.edges.reduce((a, e) => { a[e.type] = (a[e.type]||0)+1; return a; }, {})
  };
  fs.writeFileSync(outputPath, JSON.stringify({ issues, warnings, stats }, null, 2));
  process.exit(0);
} catch (err) { process.stderr.write(err.message + '\n'); process.exit(1); }

Execute it:

node $PROJECT_ROOT/.understand-anything/tmp/ua-inline-validate.cjs \
  "$PROJECT_ROOT/.understand-anything/intermediate/assembled-graph.json" \
  "$PROJECT_ROOT/.understand-anything/intermediate/review.json"

If the script exits non-zero, read stderr, fix the script, and retry once.


--review path: full LLM reviewer

If --review IS in $ARGUMENTS, dispatch the LLM graph-reviewer subagent as follows:

Dispatch a subagent using the graph-reviewer agent definition (at agents/graph-reviewer.md). Append the following additional context:

Additional context from main session: Phase 1 scan results (file inventory): ``json [list of {path, sizeLines} from scan-result.json] ` Phase warnings/errors accumulated during analysis: - [list any batch failures, skipped files, or warnings from Phases 2-5] Cross-validate: every file in the scan inventory should have a corresponding node in the graph (node types may vary: file:, config:, document:, service:, pipeline:, table:, schema:, resource:, endpoint:). Flag any missing files. Also flag any graph nodes whose filePath` doesn't appear in the scan inventory.

Pass these parameters in the dispatch prompt:

Validate the knowledge graph at $PROJECT_ROOT/.understand-anything/intermediate/assembled-graph.json. Project root: $PROJECT_ROOT Read the file and validate it for completeness and correctness. Write output to: $PROJECT_ROOT/.understand-anything/intermediate/review.json

  1. Read $PROJECT_ROOT/.understand-anything/intermediate/review.json.
  2. If issues array is non-empty:

- Review the issues list - Apply automated fixes where possible: - Remove edges with dangling references - Fill missing required fields with sensible defaults (e.g., empty tags -> ["untagged"], empty summary -> "No summary available") - Remove nodes with invalid types - Re-run the final graph validation after automated fixes - If critical issues remain after one fix attempt, save the graph anyway but include the warnings in the final report and mark dashboard auto-launch as skipped

  1. If issues array is empty: Proceed to Phase 7.

Phase 7 — SAVE

  1. Write the final knowledge graph to $PROJECT_ROOT/.understand-anything/knowledge-graph.json.
  2. Write metadata to $PROJECT_ROOT/.understand-anything/meta.json: {"lastAnalyzedAt": "<ISO 8601 timestamp>", "gitCommitHash": "<commit hash>", "version": "1.0.0", "analyzedFiles": <number of files analyzed>}

2.5. Generate structural fingerprints for all analyzed files and save to $PROJECT_ROOT/.understand-anything/fingerprints.json. This creates the baseline for future automatic incremental updates.

Write and execute a Node.js script that uses the core fingerprint module (tree-sitter-based, not regex):

import { buildFingerprintStore } from '@understand-anything/core';
import { saveFingerprints } from '@understand-anything/core';

const store = await buildFingerprintStore('<PROJECT_ROOT>', sourceFilePaths);
saveFingerprints('<PROJECT_ROOT>', store);

Where sourceFilePaths is the list of all analyzed source file paths from Phase 1. This uses the same tree-sitter analysis pipeline as the main fingerprint engine, ensuring the baseline matches the comparison logic used during auto-updates.

  1. Clean up intermediate files: rm -rf $PROJECT_ROOT/.understand-anything/intermediate rm -rf $PROJECT_ROOT/.understand-anything/tmp
  2. Report a summary to the user containing:

- Project name and description - Files analyzed / total files (with breakdown by fileCategory: code, config, docs, infra, data, script, markup) - Nodes created (broken down by type: file, function, class, config, document, service, table, endpoint, pipeline, schema, resource) - Edges created (broken down by type) - Layers identified (with names) - Tour steps generated (count) - Any warnings from the reviewer - Path to the output file: $PROJECT_ROOT/.understand-anything/knowledge-graph.json

  1. Only automatically launch the dashboard by invoking the /understand-dashboard skill if final graph validation passed after normalization/review fixes. If final validation did not pass, report that the graph was saved with warnings and dashboard launch was skipped.

Error Handling

  • If any subagent dispatch fails, retry once with the same prompt plus additional context about the failure.
  • Track all warnings and errors from each phase in a $PHASE_WARNINGS list. When using --review, pass this list to the graph-reviewer in Phase 6. On the default path, include accumulated warnings in the Phase 7 final report.
  • If it fails a second time, skip that phase and continue with partial results.
  • ALWAYS save partial results — a partial graph is better than no graph.
  • Report any skipped phases or errors in the final summary so the user knows what happened.
  • NEVER silently drop errors. Every failure must be visible in the final report.

Reference: KnowledgeGraph Schema

Node Types (13 total)

TypeDescriptionID Convention
fileSource code filefile:<relative-path>
functionFunction or methodfunction:<relative-path>:<name>
classClass, interface, or typeclass:<relative-path>:<name>
moduleLogical module or packagemodule:<name>
conceptAbstract concept or patternconcept:<name>
configConfiguration file (YAML, JSON, TOML, env)config:<relative-path>
documentDocumentation file (Markdown, RST, TXT)document:<relative-path>
serviceDeployable service definition (Dockerfile, K8s)service:<relative-path>
tableDatabase table or migrationtable:<relative-path>:<table-name>
endpointAPI endpoint or route definitionendpoint:<relative-path>:<endpoint-name>
pipelineCI/CD pipeline configurationpipeline:<relative-path>
schemaSchema definition (GraphQL, Protobuf, Prisma)schema:<relative-path>
resourceInfrastructure resource (Terraform, CloudFormation)resource:<relative-path>

Edge Types (26 total)

CategoryTypes
Structuralimports, exports, contains, inherits, implements
Behavioralcalls, subscribes, publishes, middleware
Data flowreads_from, writes_to, transforms, validates
Dependenciesdepends_on, tested_by, configures
Semanticrelated, similar_to
Infrastructuredeploys, serves, provisions, triggers
Schema/Datamigrates, documents, routes, defines_schema

Edge Weight Conventions

Edge TypeWeight
contains1.0
inherits, implements0.9
calls, exports, defines_schema0.8
imports, deploys, migrates0.7
depends_on, configures, triggers0.6
tested_by, documents, provisions, serves, routes0.5
All others0.5 (default)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude

32.62%
按下载量换算430

Codex

32.48%
按下载量换算428

Cursor

18.98%
按下载量换算250

Gemini CLI

8.6%
按下载量换算113

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills