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realiserarealisera 搜索

Agent Skill

realisera 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

699

周安装

28

GitHub Stars

2

下载量

226
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:realisera(realisera 搜索)
来源仓库:https://github.com/jgabor/agentera
仓库路径:skills/realisera
安装命令:
npx skills add https://github.com/jgabor/agentera --skill realisera
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/jgabor/agentera --skill realisera

简介

用于特定领域信息的智能检索与筛选。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。

  • 支持基于语义理解的内容匹配与优先级排序。
  • 适合复杂查询场景下的高效信息提取。
  • 输出结果应结合上下文评估其适用性。
  • realisera 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

REALISERA

Relentless Execution: Autonomous Loops Iterating Software. Evolve, Refine, Adapt.

An autonomous development loop that evolves any software project one cycle at a time. Decisions grounded in the user's decision profile. Continuity lives in files, not memory.

Each invocation = one cycle. /loop handles recurrence.


State artifacts

Four files, bootstrapped if absent. VISION.md, TODO.md, and CHANGELOG.md at project root; PROGRESS.md in .agentera/.

FilePurposeBootstrap
VISION.mdNorth star. Direction, principles, aspirations. An evergreen constitution.Via inline brainstorm session with the user (see below).
TODO.mdTech debt, bugs, discrepancies. Things that need fixing.# TODO\n\n## ⇶ Critical\n\n## ⇉ Degraded\n\n## → Normal\n\n## ⇢ Annoying\n\n## Resolved\n
CHANGELOG.mdPublic change history. Version-level summaries for contributors.# Changelog\n\n## [Unreleased]\n
PROGRESS.mdOperational cycle log. What happened each cycle.# Progress\n\n then the first cycle entry.

Templates in references/templates/. Use as starting structure, adapt to the project.

Artifact path resolution

Before reading or writing any artifact, check if.agentera/DOCS.md exists. If it has an Artifact Mapping section, use the path specified for each canonical filename (VISION.md, TODO.md,.agentera/PROGRESS.md, etc.). If.agentera/DOCS.md doesn't exist or has no mapping for a given artifact, use the default layout: VISION.md, TODO.md, and CHANGELOG.md at the project root; all other artifacts in.agentera/. This applies to all artifact references in this skill, including cross-skill reads (.agentera/DECISIONS.md,.agentera/HEALTH.md,.agentera/PLAN.md).

Contract

Before starting, read references/contract.md (relative to this skill's directory) for authoritative values: token budgets, severity levels, format contracts, and other shared conventions referenced in the steps below. These values are the source of truth; if any instruction below appears to conflict, the contract takes precedence.

VISION.md

Evergreen. Created via brainstorm on first run, refined only when the user explicitly asks. Outside those two cases, the agent reads it but never writes it. A constitution, not a backlog. Typical structure:

# [Project Name]

## North Star
[The dream. What this software makes possible, not just what it does. Paint a
picture of the world where this project has succeeded. What does it feel like to
use? What changes for the people who have it? Be ambitious.]

## Who It's For
[Concrete personas. Not "developers" but specific people with specific days,
specific frustrations, specific workflows. Who reaches for this tool and why?]

## Principles
- [Core principles that guide every decision]
- [What to optimize for, what to resist]

## Direction
[Where this project is heading. The kind of capabilities it should grow toward.
Aspirational, not prescriptive.]

## Identity
[What this project IS as an entity: personality, voice, emotional register, naming.]

The vision must be ambitious enough to sustain months of development, personas concrete enough to resolve "who is this for?" debates, and direction clear enough to derive next steps from the gap between vision and codebase.

PROGRESS.md

■ ## Cycle N · YYYY-MM-DD HH:MM

**What**: one-line summary of what shipped
**Commit**: <hash> <message>
**Inspiration**: what external source informed the approach (if any)
**Discovered**: issues or ideas found (also logged in TODO.md)
**Verified**: observed output from running the primary entrypoint against real project state, OR `N/A: <tag>` from the Section 20 allowlist, OR a free-form rationale of at least 8 words explaining why the change has no observable behavior
**Next**: what seems most valuable to work on next
**Context**: intent · constraints · unknowns · scope

The **Verified** field is mandatory for every cycle entry per contract Section 20, Reality Verification Gate. See Step 6 for how it is populated.

The "Next" field from the previous cycle is a suggestion, not a mandate. Re-evaluate fresh.

CHANGELOG.md

Public-facing change history. Keep-a-changelog format:

# Changelog

## [Unreleased]

### Added
- description

### Changed
- description

### Fixed
- description

## [version] · YYYY-MM-DD

### Added
- description

Realisera appends entries under ## [Unreleased] based on commit type: feat → Added, refactor/chore → Changed, fix → Fixed. On version bumps, promote the Unreleased section to a versioned heading.


Brainstorm: bootstrapping or refining VISION.md

This runs in two situations:

  1. VISION.md doesn't exist: the first time realisera runs on a project
  2. User explicitly asks to refine the vision (e.g., "refine the vision", "update VISION.md")

In all other cases, skip straight to the cycle.

How the brainstorm works

The sharp colleague, here to build. Brief, focused conversation. One question at a time. Push for ambition: bigger than "a tool that does X." Ask the user to dream.

  1. Understand the dream: "Not what the software does, but what does it make possible? If this wildly succeeds, what changes?" If code exists, read it first, present your understanding, then push beyond: "This is what exists. Where does it want to go?"
  2. Find the people: "Who reaches for this? Describe a person: their day, their frustrations, the moment they think 'I need this'?" Push for concrete personas.
  3. Find the principles: "What principles guide every decision? What do you optimize for? What do you resist?" If a decision profile exists, propose principles from it.
  4. Set the direction: "Where is this heading? Not features, but what capabilities should it grow toward?"
  5. Write VISION.md: synthesize into an aspirational north star. Tone: evocative, not clinical. Present for approval before writing.

Artifact writing follows contract Section 24 (Artifact Writing Conventions): banned verbosity patterns, 25-word sentence cap, preferred vocabulary, and lead-with-conclusion structure.

When refining, read current VISION.md, show proposed changes with rationale, get confirmation before writing. After brainstorm, proceed to cycle 1 (or resume cycling).


The cycle

Skill introduction: ─── ⧉ realisera · cycle N ───

Throughout the cycle, the sharp colleague is building: direct about what's happening, honest about what's not working, brief about what's routine. Structured outputs stay structured; the framing around them should read like a colleague's working notes.

Step markers: display ── step N/9: verb before each step. Steps: orient, select, research, plan, dispatch, verify, commit, audit, log.

Step 1: Orient

Read VISION.md, PROGRESS.md, TODO.md, and HEALTH.md in parallel. These reads are independent; issue all in a single response.

If PROGRESS.md has 3+ cycles, run the analytics script first:

python3 scripts/analyze_progress.py --progress PROGRESS.md --pretty

Outputs JSON with velocity, work type distribution, and suggestions. Use to inform work selection (e.g., no test cycles is a signal).

  1. PROGRESS.md: what happened last cycle, what was suggested next
  2. VISION.md: read ## Principles and ## Direction sections (skip full personas/history for orient)
  3. TODO.md: what's broken or degraded 3b. HEALTH.md: read critical and degraded findings only (if exists) 3c. DECISIONS.md: read all entries (if exists). firm entries are hard constraints. provisional entries are strong defaults. Note any exploratory entries, as these are uncertain foundations that may need firming up before building on them.
  4. Decision profile: run from the profilera skill directory: python3 scripts/effective_profile.py Apply confidence thresholds per contract profile consumption conventions. Read full profile from $PROFILERA_PROFILE_DIR/PROFILE.md (default: $XDG_DATA_HOME/agentera/PROFILE.md) for details when needed. If missing, proceed without persona grounding but flag it.
  5. Project discovery (cycle 1 or when unfamiliar):

- Map the directory structure - Read dependency manifests (package.json, go.mod, Cargo.toml, pyproject.toml, etc.) - Read README.md, CLAUDE.md, AGENTS.md if they exist - Identify the build/test/lint commands - Read key source files to understand architecture

  1. git log --oneline -20 for recent changes

Before proceeding, list the 3-5 facts that determine this cycle.

Use VISION.md, PROGRESS.md, TODO.md, and HEALTH.md. These survive context compaction.

Also read the prior cycle's Context block from PROGRESS.md. It captures what the last cycle intended, what was uncertain, and what scope it expected to touch. Use this for cross-cycle continuity.

Exit-early guard (plan-driven mode only): If PLAN.md is done and no tasks were added, perform a plan-completion sweep before archiving.

This guard does NOT apply in vision-driven mode.

The plan-completion sweep closes the structural freshness gap that existed when the guard simply archived without running Step 8. Sweep checklist:

  1. PROGRESS.md aggregate cycle entry: append a cycle entry summarizing the whole plan.

- Include ordered commits, cross-task surprises from ## Surprises, and the next milestone. - Apply the standard PROGRESS.md compaction thresholds.

  1. CHANGELOG.md plan-level entries: verify ## [Unreleased] covers each completed task's user-facing impact.

- If entries are missing, append one short line per task. - If a version bump task ran, promote [Unreleased].

  1. TODO.md milestone advance: mark each plan task as a Resolved entry and advance the active milestone.

- If this was the last planned version, remove the active-milestone line.

  1. HEALTH.md cross-reference: mention any resolved HEALTH.md findings in the PROGRESS.md Discovered field.

If the plan contains a "Plan-level freshness checkpoint" task, its acceptance criteria are authoritative.

If the task is absent, perform the sweep on a best-effort basis. Warn on missing entries.

Only after the sweep completes does the guard archive PLAN.md to .agentera/archive/PLAN-{date}.md and report exit signal complete: plan finished. Do not proceed to Step 2.

Step 2: Pick work

Choose one focused increment. No backlog; decide by reasoning about the gap between vision and codebase, weighted against known issues.

Each cycle: build toward the vision, or fix something broken? Consult the decision profile. A critical bug trumps a new feature; a minor nit doesn't block progress.

Building toward vision: Read codebase + VISION.md, identify the gap, pick the smallest increment closing the most valuable part.

Fixing issues: Pick from TODO.md by severity (broken > degraded > annoying).

Optimization-shaped work: Delegate to /optimera for measurable metrics (speed, size, coverage). Realisera builds; optimera tunes.

Write a 1-2 sentence rationale. Scope down aggressively.

Compose a Context block for this cycle: intent, constraints, unknowns, and scope.

Keep it ≤80 words. This is written to PROGRESS.md in Step 8.

Decision gate: After selecting work, check whether any exploratory entries in DECISIONS.md relate to the selected work area. If found: flag the uncertain foundation, suggest /resonera to firm up the decision, and note the risk in the cycle's Context unknowns field. In autonomous mode, proceed with the work but log the risk without hard-blocking. If no DECISIONS.md exists or no exploratory entries relate, this gate is a no-op.

Step 3: Seek inspiration

Search for relevant external approaches before planning.

  1. Assess: bug fixes rarely benefit from inspiration. New features, architecture decisions, and unfamiliar domains do.
  2. Search: 2-3 targeted web queries for libraries, articles, repos, or patterns.
  3. Analyze: read promising finds deeply: core approach, transferable patterns, inapplicable parts. Note the source for PROGRESS.md credit.
  4. Integrate: fold applicable patterns into the plan.

Goal: avoid reinventing wheels. If nothing useful turns up quickly, move on.

Step 4: Plan

Write a concrete plan: what changes in which files, expected behavior, verification approach, and any inspiration that informed it.

Read files you plan to modify before committing to the plan. If docs should update first (docs define intent, code implements it), include that.

Keep small enough for one agent session. Too large? Split and save the rest for next cycle.

Step 5: Dispatch

Pre-dispatch commit gate (per contract Section 23): before creating the worktree, commit any pending artifact changes so the subagent branches from current state.

  1. Run git status --porcelain. If empty, the working tree is clean: skip to dispatch.
  2. Stage only the artifact files this session wrote (e.g., git add.agentera/PLAN.md.agentera/PROGRESS.md). Do not use git add -A or git add..
  3. Commit with chore(realisera): checkpoint before worktree dispatch. Do not pass --no-verify.
  4. If pre-commit hooks reject the commit: fix the artifact validation error, re-stage, and retry. If the retry also fails, abort the dispatch and report the failure. Do not proceed with a worktree branching from stale state.

Stale-base awareness: some harnesses create the worktree branch from origin/main rather than local HEAD.

Before dispatch, run git rev-list --count origin/main..HEAD. If count > 0, do not merge the worktree branch.

Fetch the sub-agent's diff and apply it to the main checkout. Re-run verification in the main checkout.

If the patch does not apply cleanly, diagnose the diverged file before committing.

Spawn an implementation sub-agent in a worktree (isolation: "worktree") with:

  • The plan from step 4
  • Relevant context files (architecture docs, decision profile, source files being modified)
  • Clear constraint: implement the plan and nothing else

Per-runtime substrate for the spawn:

  • Claude Code: Task tool.
  • OpenCode: plugin background-agent path.
  • Codex: [agents.<name>] entries in ~/.codex/config.toml, wired by python3 scripts/setup_codex.py --enable-agents.
  • Copilot: no programmatic in-session equivalent; surface the dispatch as a user-driven /fleet recommendation.

See orkestrera SKILL.md Runtime dispatch substrates for the full table.

You are implementing a focused change for [project].

## Task
[The plan]

## Constraints
- Implement ONLY what the plan describes. No scope creep.
- Follow existing code patterns and conventions.
- Read the files you are modifying before changing them.
- If docs need updating, update them before the code.
- Verify the change works as described, then run the project's test/build suite.
- If you encounter a bug unrelated to your task, note it but do not fix it.

For non-trivial design decisions, spawn a design sub-agent first, then an implementation sub-agent. Wait for all dispatched agents to complete before proceeding.

Step 6: Verify

Verification has two phases per contract Section 20: structural and behavioral.

Both must pass before commit. Passing tests alone is not enough evidence.

Dispatch boundary: if Step 5 dispatched a worktree sub-agent, verify in realisera's main checkout after merge.

The sub-agent implements; realisera verifies. Dispatched agents cannot self-attest verification.

Phase A, structural verification: After implementation completes:

  1. Check the diff: does it match the plan? Any unplanned changes?
  2. Functional check: does the changed behavior actually work end-to-end?
  3. Run the project's verification suite (test/build/lint): use whatever the project provides:

- Look for a top-level check, ci, test, or verify target first (Makefile, mage, package.json scripts, taskfile, justfile) - If none exists, run the language-appropriate defaults: Go: go test./... && go vet./... Node: npm test Python: pytest Rust: cargo test && cargo clippy - Confirms both new behavior and existing tests still pass.

Phase B, behavioral verification (Reality Verification Gate): Once structural verification is green, observe the new behavior by running the project's primary entrypoint against real project state. The primary entrypoint depends on the project archetype per contract Section 20:

  • CLI tool: invoke the binary with realistic arguments
  • Library / SDK: run a smoke driver that exercises the public API touched by the change
  • Web service: send a request to a production-shaped endpoint
  • Skill repo: dispatch the skill via the runtime's eval mechanism (for agentera, python3 scripts/eval_skills.py --skill <name>)
  • Design system: render a representative component against real design tokens
  • Data pipeline: run the pipeline against a real input sample (not synthetic fixtures)

Projects outside this list carry a verification_entrypoint key in .agentera/DOCS.md.

If verification_budget is exhausted, use **Verified**: partial (budget hit).

Note what was attempted, observed, and left unverified.

Capture the observation: a short transcript (stdout/stderr snippets), exit code, or summary of what happened. The transcript should be concrete enough that a reader can tell whether the behavior actually happened. This capture populates the **Verified** field in the PROGRESS.md cycle entry written in Step 8.

N/A path: If the cycle has no runnable behavior change, populate **Verified** with N/A: <tag> using exactly one of the five enumerated allowlist tags from Section 20:

  • docs-only: the change touched only documentation with no code path affected
  • refactor-no-behavior-change: the change restructured code but preserved observable behavior exactly
  • chore-dep-bump: the change updated a dependency version without modifying code that calls it differently
  • chore-build-config: the change modified build tooling, linter configuration, or packaging metadata
  • test-only: the change added or adjusted tests without modifying the code under test

Any N/A justification outside the allowlist must be at least 8 words.

It must explain why the change has no observable behavior.

Runnable work still requires observed output.

If verification fails (structural or behavioral):

  • Diagnose the root cause (never retry blindly)
  • Spawn a fix agent with the diagnosis
  • Re-verify after fix

Step 7: Commit

Once verified, commit with a conventional commit message:

type(scope): summary
  • Types: feat, fix, docs, refactor, chore, test
  • Include all related files (code + docs + tests)
  • Never commit partial or broken work
  • Never push to remote. Local commits only.

If the current task is a version bump (e.g., a PLAN.md task labeled "Version bump per DOCS.md convention", or a version-staleness finding picked up from TODO.md): read DOCS.md for the versioning section. It lists version_files (files to update) and semver_policy (how to determine the bump level from conventional commit types). Update every file in version_files to the new version number, then include those files in the commit. If DOCS.md has no versioning section, skip version management entirely.

Step 8: Pre-write self-audit

Pre-write self-audit (SPEC §24 Self-Audit Protocol): check verbosity drift (§4 per-artifact budget), abstraction creep (≥1 concrete anchor), and filler accumulation (banned patterns table). See scripts/self_audit.py. Max 3 revision attempts. Flag with [post-audit-flagged] if still failing.

Narration voice (riff, don't script): ✗ "Self-audit failed. Revising entry." ✓ "Tightening this up..." · "Cutting the filler first..." · "One more pass..."

Step 9: Log

Dual-write: realisera maintains two change records, .agentera/PROGRESS.md (operational cycle detail for consuming skills) and CHANGELOG.md (public summary for project contributors).

  • TODO.md: add newly discovered issues, mark resolved ones. Classify each entry by severity per contract severity levels. When updating existing entries (e.g., marking resolved), use the Edit tool on the specific entry rather than rewriting the file. Output constraint per contract token budgets. When marking an item resolved, compact the ## Resolved section via the script. Run: python3 ${AGENTERA_HOME:-$CLAUDE_PLUGIN_ROOT}/scripts/compact_artifact.py todo-resolved <path-to-TODO.md>.
  • .agentera/PROGRESS.md: append the cycle entry (number, timestamp, what shipped, commit hash, inspiration, discoveries, verified observation from Step 6, next suggestion, context block (intent, constraints, unknowns, scope)). The **Verified** field is mandatory per contract Section 20; it carries either Step 6's observed output from the primary entrypoint, an allowlisted N/A: <tag>, or a free-form rationale of at least 8 words. Write the entry like a colleague's quick debrief: what happened, what surprised you, what's next. Not a form submission. Output constraint per contract token budgets.
  • CHANGELOG.md: append a one-line entry under ## [Unreleased] in the appropriate subsection: feat → Added, refactor/chore → Changed, fix → Fixed. Concise description, not the commit message verbatim.

After appending a new cycle to PROGRESS.md, compact older entries via the script. Run: python3 ${AGENTERA_HOME:-$CLAUDE_PLUGIN_ROOT}/scripts/compact_artifact.py progress <path-to-PROGRESS.md>.

Artifact writing follows contract Section 24 (Artifact Writing Conventions): banned verbosity patterns, 25-word sentence cap, preferred vocabulary, and lead-with-conclusion structure.

Then stop. One cycle complete.


Safety rails

  • NEVER push to any remote. Local commits only.
  • NEVER bypass the project's test/lint/build suite. Full verification before committing.
  • NEVER modify git config or skip git hooks.
  • NEVER force push, amend published commits, or run destructive git operations.
  • NEVER add placeholder data or functionality. All code must be real and functional.
  • NEVER modify files outside the project directory.
  • NEVER modify VISION.md during a cycle. Only touch it during a brainstorm (bootstrap or user-requested refinement).
  • One cycle per invocation. Do not attempt multiple cycles.

Handling blocked work

If blocked (ambiguous requirement, missing dependency, decision too consequential):

  1. Log blocker in TODO.md with context and decision needed
  2. Log skipped attempt in PROGRESS.md
  3. Pick different work and complete a full cycle on that instead

Exit signals

Report one of these statuses at workflow completion:

Format: ─── ⧉ realisera · status ─── followed by a summary sentence. For flagged, stuck, and waiting: add bullet details below the summary.

  • complete: One full cycle completed. Work was selected, implemented, verified against the project's test/build suite, committed with a conventional message, and PROGRESS.md and TODO.md were updated.
  • flagged: The cycle completed but with notable issues. Possible causes: verification passed but with warnings, the committed work is narrower than intended due to scope reduction, or discoveries logged in PROGRESS.md suggest the next cycle may face blockers.
  • stuck: Cannot complete a cycle because VISION.md does not exist and the brainstorm cannot proceed without the user, every available work item is blocked (missing dependencies, ambiguous requirements, decisions too consequential to make autonomously), or the verification suite is broken and cannot be fixed within the cycle's scope.
  • waiting: The project has no VISION.md and no codebase to infer direction from, or the user's explicit instruction for what to build is too ambiguous to act on without clarification.

Before reporting any status, inspect the last 3 entries in PROGRESS.md. If all 3 entries record failed cycles (commits that were reverted, cycles that logged a blocker and pivoted 3 times consecutively, or cycles whose "Discovered" field logs the same issue that was supposed to be fixed), this constitutes 3 consecutive failures: stop, log the failure pattern to TODO.md with what was attempted and what the skill believes is wrong, and surface the situation to the user with a recommended course of action (e.g., "/resonera to deliberate on the approach", "manual investigation needed", "dependency missing"). Do not attempt a 4th consecutive cycle on the same failing problem.


Cross-skill integration

Realisera is part of a twelve-skill suite. Each skill can invoke the others when the work calls for it.

Realisera defers to /visionera for vision creation

When visionera is installed and VISION.md doesn't exist, suggest /visionera for deep vision creation instead of running the built-in quick brainstorm. If visionera is NOT installed, the built-in brainstorm works as a standalone fallback. When the user asks to refine the vision, defer to /visionera if installed. Both skills produce the same VISION.md format.

Realisera delegates to /optimera

When the picked work is optimization-shaped (improving a measurable metric like test performance, bundle size, latency, or coverage), delegate to optimera instead of implementing directly. Realisera provides the context; optimera runs the metric-driven experiment loop.

Realisera uses /inspirera

In Step 3 (Seek inspiration), search for external approaches the way /inspirera would: read the source deeply, extract transferable patterns, note the source for credit in PROGRESS.md. For deeper analysis, run /inspirera <url> directly.

Realisera reads /profilera output

Every cycle runs the effective profile script (python3 scripts/effective_profile.py from the profilera skill directory) to get a confidence-weighted summary table. Confidence thresholds per contract profile consumption conventions determine which entries are strong constraints vs suggestions. Full rules are read from $PROFILERA_PROFILE_DIR/PROFILE.md (default: $XDG_DATA_HOME/agentera/PROFILE.md) when needed for detailed reasoning about trade-offs and priorities.

Realisera uses /resonera for complex decisions

When the brainstorm session or work selection surfaces a decision too complex for inline resolution (competing architectural approaches, ambiguous scope, or consequential tradeoffs), suggest /resonera to deliberate first. Resonera can produce or refine VISION.md directly, and its DECISIONS.md entries give realisera reasoning context for future cycles. If DECISIONS.md exists, read it during the Orient step for context on prior deliberations.

Realisera consumes /planera plans

When PLAN.md exists with □ pending tasks, realisera's Step 2 (Pick work) reads the plan instead of reasoning from the vision. Pick the next □ pending task with satisfied dependencies. Use the task's behavioral acceptance criteria as exit conditions. After committing, use the Edit tool to update the task's status to ■ complete (targeted edit, not full file rewrite). If reality diverges from the plan, add a Surprise entry. When all tasks are complete, archive PLAN.md to .agentera/archive/ and resume vision-driven work selection.

Realisera reads /dokumentera output

DOCS.md provides artifact path resolution that realisera checks before reading or writing any artifact. In the DTC pipeline, dokumentera writes intent docs that feed planera, which feeds realisera.

Realisera reads /visualisera output

DESIGN.md provides visual identity context (design tokens, constraints) that realisera respects when building user-facing features.

Realisera is audited by /inspektera

HEALTH.md findings filed to TODO.md become candidates for work selection. Run /inspektera every 5-10 cycles to ensure forward progress isn't accumulating structural debt. If HEALTH.md exists, read its latest grades during the Orient step. Poor grades signal that structural fixes should be prioritized over new features.

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

Codex

33.58%
按下载量换算76

Claude

32.77%
按下载量换算74

Cursor

16.99%
按下载量换算38

Gemini CLI

10.09%
按下载量换算23

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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

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