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introspectintrospect 开发

Agent Skill

introspect 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

706

周安装

30

GitHub Stars

17

下载量

247
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

3

许可证

MIT

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:introspect(introspect 开发)
来源仓库:https://github.com/0xdarkmatter/claude-mods
仓库路径:skills/introspect
安装命令:
npx skills add https://github.com/0xdarkmatter/claude-mods --skill introspect
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/0xdarkmatter/claude-mods --skill introspect

简介

introspect 解析 Claude Code 会话日志,提取工具调用、思考过程与上下文元数据。

  • 适用于审计 Agent 行为轨迹、分析决策路径或调试复杂交互流程。
  • 支持 jq 查询会话记录中的特定字段,如工具名称、输入参数与执行结果。
  • 默认保留最近 90 天日志,可通过配置文件延长保存周期以支持深度回溯。
  • 主要用于开发辅助,不可直接用于生产环境敏感数据导出或合规审查。

SKILL.md

Introspect

Extract actionable intelligence from Claude Code session logs. For general JSONL analysis patterns (filtering, aggregation, cross-file joins), see the log-ops skill.

cc-session CLI

The scripts/cc-session script provides zero-dependency analysis (requires only jq + bash). Auto-resolves the current project and most recent session.

# Copy to PATH for global access
cp skills/introspect/scripts/cc-session ~/.local/bin/
# Or on Windows (Git Bash)
cp skills/introspect/scripts/cc-session ~/bin/

Commands

CommandWhat It Does
cc-session overviewEntry counts, timing, tool/thinking totals
cc-session toolsTool usage frequency (sorted)
cc-session tool-chainSequential tool call trace with input summaries
cc-session thinkingFull thinking/reasoning blocks
cc-session thinking-summaryFirst 200 chars of each thinking block
cc-session errorsTool results containing error patterns
cc-session conversationReconstructed user/assistant turns
cc-session filesFiles read, edited, written (with counts)
cc-session turnsPer-turn breakdown (duration, tools used)
cc-session agentsSubagent spawns with type and prompt preview
cc-session costRough token/cost estimation
cc-session timelineEvent timeline with timestamps
cc-session summarySession summaries (compaction boundaries)
cc-session search <pattern>Search across sessions (text content)

Options

--project, -p <name>    Filter by project (partial match)
--dir, -d <pattern>     Filter by directory pattern in project path
--all                   Search all projects (with search command)
--recent <n>            Use nth most recent session (default: 1)
--json                  Output as JSON instead of text

Examples

cc-session overview                              # Current project, latest session
cc-session tools --recent 2                      # Tools from second-latest session
cc-session tool-chain                            # Full tool call sequence
cc-session errors -p claude-mods                 # Errors in claude-mods project
cc-session thinking | grep -i "decision"         # Search reasoning
cc-session search "auth" --all                   # Search all projects
cc-session turns --json | jq '.[] | select(.tools > 5)'  # Complex turns
cc-session files --json | jq '.edited[:5]'       # Top 5 edited files
cc-session overview --json                       # Pipe to other tools

Analysis Decision Tree

What do you want to know?
|
|- "What happened in a session?"
|  |- Quick overview ---- cc-session overview
|  |- Full conversation -- cc-session conversation
|  |- Timeline ---------- cc-session timeline
|  |- Summaries --------- cc-session summary
|
|- "How was I using tools?"
|  |- Frequency ---------- cc-session tools
|  |- Call sequence ------- cc-session tool-chain
|  |- Files touched ------- cc-session files
|
|- "What was I thinking?"
|  |- Full reasoning ------ cc-session thinking
|  |- Quick scan ---------- cc-session thinking-summary
|  |- Topic search -------- cc-session thinking | grep -i "topic"
|
|- "What went wrong?"
|  |- Tool errors --------- cc-session errors
|  |- Debug trajectory ---- cc-session tool-chain (trace the sequence)
|
|- "Compare sessions"
|  |- Tool usage diff ----- cc-session tools --recent 1 vs --recent 2
|  |- Token estimation ---- cc-session cost
|
|- "Search across sessions"
|  |- Current project ----- cc-session search "pattern"
|  |- All projects -------- cc-session search "pattern" --all

Session Log Schema

File Structure

~/.claude/
|- projects/
|   |- {project-path}/                        # e.g., X--Forge-claude-mods/
|       |- sessions-index.json                # Session metadata index
|       |- {session-uuid}.jsonl               # Full session transcript
|       |- agent-{short-id}.jsonl             # Subagent transcripts

Project paths use double-dash encoding: X:\Forge\claude-mods -> X--Forge-claude-mods

Entry Types

TypeRoleKey Fields
userUser messages + tool resultsmessage.content[].type = "text" or "tool_result"
assistantClaude responsesmessage.content[].type = "text", "tool_use", or "thinking"
systemTurn duration, compactionsubtype = "turn_duration" (has durationMs) or "compact_boundary"
progressHook/tool progress eventsdata.type, toolUseID, parentToolUseID
file-history-snapshotFile state checkpointssnapshot, messageId, isSnapshotUpdate
queue-operationMessage queue eventsoperation, content
last-promptLast user prompt cachelastPrompt
summaryCompaction summariessummary, leafUuid

Content Block Types (inside message.content[])

Block TypeFound InFields
textuser, assistant.text
tool_useassistant.id, .name, .input
tool_resultuser.tool_use_id, .content
thinkingassistant.thinking, .signature

Common Fields (all entry types)

uuid, parentUuid, sessionId, timestamp, type,
cwd, gitBranch, version, isSidechain, userType

Session Log Retention

By default, Claude Code deletes sessions inactive for 30 days (on startup). Increase to preserve history for analysis.

// ~/.claude/settings.json
{
  "cleanupPeriodDays": 90
}

Currently set to 90 days. Adjust based on disk usage (dust -d 1 ~/.claude/projects/).

Quick jq Reference

For one-off queries when cc-session doesn't cover your need:

# Pipe through cat on Windows (jq file args can fail)
cat session.jsonl | jq -r 'select(.type == "assistant") | .message.content[]? | select(.type == "tool_use") | .name'

# Two-stage for large files
rg '"tool_use"' session.jsonl | jq -r '.message.content[]? | select(.type == "tool_use") | .name'

Session Insights

After running any analysis, always generate a "Session Insights" section with actionable recommendations. The tone should be friendly and mentoring - a helpful colleague who noticed some patterns, not a critic.

What to Look For

Scan the session data for these patterns and generate recommendations where relevant:

Tool usage improvements:

  • Using Bash(grep...) or Bash(cat...) instead of Grep/Read tools - suggest the dedicated tools
  • Repeated failed tool calls with same input - suggest pivoting earlier
  • Heavy Bash usage for tasks a skill handles - recommend the skill by name
  • No use of parallel tool calls when independent reads/searches could overlap

Workflow patterns:

  • Long sessions with no commits - suggest incremental commits
  • No /save at session end - remind about session continuity
  • Repeated context re-reading (same files read 3+ times) - suggest keeping notes or using /save
  • Large blocks of manual work that /iterate could automate - mention the loop pattern
  • Debugging spirals (5+ attempts at same approach) - suggest the 3-attempt pivot rule

Skill and command awareness:

  • Manual code review without /review - mention the skill
  • Test writing without /testgen - mention the skill
  • Complex reasoning without /atomise - mention it for hard problems
  • Agent spawning for tasks a skill already handles - suggest the lighter-weight option

Session efficiency:

  • Very long sessions (100+ tool calls) - suggest breaking into focused sessions
  • High error rate (>30% of tool calls return errors) - note the pattern and suggest investigation
  • Excessive file reads vs edits ratio (>10:1) - might indicate uncertainty, suggest planning first

Permission recommendations: This is high-value - permission prompts break flow and cost context. Scan the session for:

  • Bash commands that were used successfully and repeatedly - these are candidates for Bash(<command>:*) allow rules
  • Tool patterns that appeared frequently (WebFetch, WebSearch, specific MCP tools) - suggest adding to allow list
  • Commands that failed with permission errors or were retried - likely blocked by missing permissions

Generate a ready-to-paste permissions.allow snippet for .claude/settings.local.json:

**Permissions**

Based on this session, these tools were used frequently and could be
pre-approved to reduce interruptions:

Add to `.claude/settings.local.json` under `permissions.allow`:
  "Bash(uv:*)",
  "Bash(pytest:*)",
  "Bash(docker:*)",
  "WebSearch",
  "mcp__my-server__*"

This would have saved roughly ~N permission prompts in this session.

Only recommend commands that were actually used successfully - never suggest blanket Bash(*). But do encourage wildcard patterns where sensible - Bash(git:*) is better than listing Bash(git status), Bash(git add), Bash(git commit) separately. Common wildcard groups:

  • Bash(git:*) - all git operations
  • Bash(npm:*), Bash(pnpm:*), Bash(uv:*) - package managers
  • Bash(pytest:*), Bash(jest:*) - test runners
  • Bash(docker:*), Bash(cargo:*), Bash(go:*) - build/runtime tools
  • mcp__server-name__* - all tools from an MCP server

Group recommendations by category for clarity. Reference /setperms for a full permissions setup if the list is long.

Output Format

## Session Insights

Here are a few things I noticed that might help next time:

**[Category]**
- [Observation]: [What was seen in the data]
- [Suggestion]: [Friendly, specific recommendation]

**[Category]**
- ...

Scale the number of recommendations to the session size. A quick 10-minute session might warrant 1-2 observations. A sprawling multi-hour session with 100+ tool calls could easily have 10-15 actionable insights. Match the depth of analysis to the depth of the session.

Only mention patterns that are clearly present in the data - don't guess or stretch. If the session was clean and efficient, say so: "This was a well-structured session - nothing jumps out as needing improvement."

Reference Files

FileContents
scripts/cc-sessionCLI tool - session analysis with 14 commands, JSON output, project filtering
references/session-analysis.mdRaw jq recipes for custom analysis beyond cc-session

See Also

  • log-ops - General JSONL processing, two-stage pipelines, cross-file correlation
  • data-processing - JSON/YAML/TOML processing with jq and yq

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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 Code

29.72%
按下载量换算73

OpenCode

23.68%
按下载量换算58

Gemini CLI

18.46%
按下载量换算46

Antigravity

10.75%
按下载量换算27

Codex

6.66%
按下载量换算16

windsurf

3.56%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。

来源信息

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