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Agent Skill · 研究检索

icpg(icpg 搜索)

icpg 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。

icpg 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 44,490。

总安装 912周安装 38GitHub Stars 590下载 304核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:icpg(icpg 搜索)
来源仓库:https://github.com/alinaqi/claude-bootstrap
仓库路径:skills/icpg
安装命令:
npx skills add https://github.com/alinaqi/claude-bootstrap --skill icpg
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/alinaqi/claude-bootstrap --skill icpg

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选与 icpg 搜索相关的资源或工具。适合在特定领域快速定位技术文档或解决方案。icpg 属于研究检索类 Skill,可作为该场景下的辅助能力补充。需根据任务场景设定检索关键词,提高结果相关性。可通过 npx 命令从 GitHub 仓库安装,集成至主流 AI 编程助手。

建议优先选择提供详细使用说明和示例的来源项目。

来源仓库内路径:skills/icpg

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/alinaqi/claude-bootstrap --skill icpg;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

icpg 怎么安装?

在终端执行 npx skills add https://github.com/alinaqi/claude-bootstrap --skill icpg。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

icpg 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

icpg 需要什么权限?

权限级别是只读。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。

icpg 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

icpg 用的人多吗?

公开数据是累计安装 912 次,近一周安装 38 次,下载 304 次,GitHub 590 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

icpg 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
icpg

icpg 搜索 · 本页

912590只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

iCPG Skill (Intent-Augmented Code Property Graph)

Purpose: Add a Reason Graph layer on top of code structure so every function, class, and module is traceable to the goal that created it, the agent or human that owns it, and whether it's still doing what it was supposed to do.

┌────────────────────────────────────────────────────────────────┐
│  iCPG = AST + CFG + PDG + RG (Reason Graph)                    │
│  ─────────────────────────────────────────────────────────────│
│  AST  = Abstract Syntax Tree (structure)      ← existing       │
│  CFG  = Control Flow Graph (execution paths)  ← existing       │
│  PDG  = Program Dependency Graph              ← existing       │
│  RG   = Reason Graph (WHY layer)              ← THIS SKILL     │
│                                                                │
│  The RG stores ReasonNodes (goals/tasks), links them to code   │
│  symbols via typed edges, enforces contracts (DbC), and        │
│  detects when code drifts from its original purpose.           │
│                                                                │
│  Storage: .icpg/reason.db (SQLite, per-project, gitignored)   │
│  CLI: icpg init | create | record | query | drift | bootstrap │
└────────────────────────────────────────────────────────────────┘

Core Principle

Intent first, code second. Before writing or modifying code, query the reason graph to understand WHY existing code was written, WHAT constraints it must preserve, and WHETHER your change duplicates prior work.


The 3 Canonical Pre-Task Queries

Every agent MUST run these before writing code:

#QueryCommandWhat It Answers
1search_prior_workicpg query prior "<goal>"Has this been attempted before? Prevents duplication.
2get_constraintsicpg query constraints <file>What invariants apply to files I'll touch? Prevents breakage.
3get_risk_profileicpg query risk <symbol>Is this symbol fragile? Drift history, ownership changes.

ReasonNode — The Core Primitive

Each ReasonNode captures a stated purpose with a formal contract:

id              UUID
goal            Natural language: what is this trying to achieve
decision_type   business_goal | arch_decision | task | workaround | constraint | patch
scope           Files/modules expected to be touched
owner           Human or agent accountable
status          proposed | executing | fulfilled | drifted | abandoned
source          manual | commit | inferred | agent-session

FORMAL CONTRACT (Design by Contract):
  preconditions    What must be true before this intent executes
  postconditions   What must be true when fulfilled
  invariants       What must remain true throughout and after

Drift = predicate failure. A symbol has drifted when its current behavior no longer satisfies the postconditions of the ReasonNode that created it, or when an invariant is violated.


Six Edge Types

CREATES      Reason  → Symbol   (this intent created this function)
MODIFIES     Reason  → Symbol   (this intent changed this function)
REQUIRES     Reason  → Reason   (B depends on A being done first)
DUPLICATES   Reason  → Reason   (these two goals overlap)
VALIDATED_BY Reason  → Test     (this test proves the intent was satisfied)
DRIFTS_FROM  Symbol  → Reason   (this symbol no longer does what it was made for)

6-Dimension Drift Model

DimensionWhat It MeansDetection
Spec driftSymbol checksum changed without a MODIFIES edgeCompare stored vs current checksum
Decision driftPostconditions no longer holdEvaluate predicates against codebase
Ownership drift>3 different owners without coherent oversightCount unique owners on edges
Test driftVALIDATED_BY tests missing or failingCheck test file existence + run
Usage driftSymbol used outside original scopeGrep for imports beyond scope
Dependency driftDownstream REQUIRES reasons have driftedTraverse REQUIRES edges

Run icpg drift check to scan all dimensions. Each produces a 0-1 severity score.


CLI Reference

Setup

icpg init                          # Create .icpg/ and database
icpg bootstrap --days 90           # Infer ReasonNodes from git history
icpg bootstrap --days 90 --no-llm  # Without LLM (commit-message only)

Create & Record

icpg create "Add JWT auth" --scope src/auth/ --owner feature-auth --type task
icpg record --reason <id> --base main         # Record symbols from git diff
icpg record --reason <id> --edge-type MODIFIES # Record as modifications

Query (the 3 canonical queries)

icpg query prior "user authentication"     # 1. Duplicate detection
icpg query constraints src/auth/service.ts  # 2. Invariants for file
icpg query risk validateToken              # 3. Symbol risk profile
icpg query context src/auth/service.ts     # All intents for a file
icpg query blast <reason-id>               # Full blast radius

Drift

icpg drift check          # Full scan across all dimensions
icpg drift resolve <id>   # Mark drift event resolved

Status

icpg status               # Stats: reasons, symbols, edges, drift

Storage

Per-project, gitignored, zero infrastructure:

.icpg/
  reason.db       SQLite database (4 tables: reasons, symbols, edges, drift_events)
  .gitignore      Contains: *
  chroma/         ChromaDB vectors (if chromadb installed)
  tfidf_cache.json  TF-IDF fallback cache
  .current-intent   Marker file for active intent (used by Stop hook)

Install options:

pip install ./scripts/icpg            # Core (zero deps)
pip install "./scripts/icpg[vectors]"  # + ChromaDB for duplicate detection
pip install "./scripts/icpg[all]"      # + ChromaDB + scikit-learn + openai

Workflow: Before Any Code Change

0. INTENT       → icpg create (or identify existing intent)
1. DEDUP        → icpg query prior (check for duplicate work)
2. CONSTRAINTS  → icpg query constraints (understand invariants)
3. RISK         → icpg query risk (check fragile symbols)
4. LOCATE       → search_graph to find symbols (code-graph skill)
5. CHANGE       → Make the edit (PreToolUse hook shows context)
6. RECORD       → icpg record (link symbols to intent)
7. DRIFT CHECK  → icpg drift check (verify no unintended drift)
8. VERIFY       → Run tests, lint, typecheck

Step 0 is non-negotiable for autonomous agents. Every change must be linked to a stated purpose. Without an intent, there's nothing to measure drift against.


Hook Integration

PreToolUse Hook (automatic context injection)

Add to .claude/settings.json:

{
  "hooks": {
    "PreToolUse": [{
      "matcher": "Edit|Write",
      "hooks": [{
        "type": "command",
        "command": "scripts/icpg-pre-edit.sh",
        "timeout": 3,
        "statusMessage": "Checking intent context..."
      }]
    }]
  }
}

Before every file edit, agents see:

═══ iCPG CONTEXT ═══
INTENTS for src/auth/service.ts:
  [>] a1b2c3d4 — User authentication with JWT tokens
      Owner: feature-auth | Status: executing
      Invariants: 2
CONSTRAINTS for src/auth/service.ts:
  From intent: User authentication with JWT tokens
    INV: file_exists("src/auth/middleware.ts")
    POST: test_exists("src/auth/__tests__/service.test.ts")
PRESERVE function signatures unless your task requires changing them.
═══════════════════

Stop Hook (automatic symbol recording)

After implementation passes tests, auto-records symbols:

{
  "hooks": {
    "Stop": [{
      "hooks": [
        {"type": "command", "command": "scripts/tdd-loop-check.sh", "timeout": 60},
        {"type": "command", "command": "scripts/icpg-stop-record.sh", "timeout": 5}
      ]
    }]
  }
}

Agent Teams Integration

Updated Pipeline (agent-teams + iCPG)

 0. INTENT       Team lead creates ReasonNode from feature spec
 0b. DEDUP       icpg query prior — check for duplicate intents
 1. SPEC         Feature agent writes spec
 2. SPEC-REVIEW  Quality agent reviews spec + intent alignment
 3. TESTS (RED)  Feature agent writes tests
 4. RED-VERIFY   Quality agent verifies tests fail
 5. IMPLEMENT    Feature agent codes (PreEdit hook shows context)
 5b. RECORD      Auto-record symbols → intent (Stop hook)
 5c. DRIFT-CHECK Quality agent verifies no scope drift
 6. GREEN-VERIFY Quality agent verifies tests pass + coverage
 7. VALIDATE     Lint + typecheck + full suite
 8. CODE-REVIEW  Review agent (sees intent context per file)
 9. SECURITY     Security agent
10. BRANCH-PR    Merger agent (PR includes intent traceability)

Agent Responsibilities

AgentiCPG Action
Team Leadicpg create when creating task chains. icpg query prior to check duplicates.
Feature Agenticpg query constraints before implementing. Writes .icpg/.current-intent for auto-recording.
Quality Agenticpg drift check during GREEN verify. Verifies scope alignment.
Review AgentSees intent context via PreToolUse hook when reviewing files.
Merger AgentIncludes intent traceability in PR description.

Bootstrapping from Git History

For existing codebases, infer ReasonNodes from commit history:

icpg bootstrap --days 90 --verbose

This will:

  1. Get commits from last 90 days
  2. Cluster by temporal proximity (2-hour window)
  3. Infer intent via LLM (Claude or OpenAI) or commit message parsing
  4. Create ReasonNodes with source: "inferred", confidence: 0.6-0.8
  5. Extract symbols from changed files, create CREATES edges
  6. Run duplicate detection against existing ReasonNodes

Quality note: Inferred intents are marked low-confidence. Review and promote high-value ones manually.


Contract Predicates

Predicates are structured assertions over codebase state:

file_exists("src/auth/middleware.ts")
test_exists("src/auth/__tests__/service.test.ts")
symbol_count("src/auth/") <= 15
function_signature("validateToken") == "(token: string) => Promise<User>"

Contracts can be:

  • Hand-authored for high-risk ReasonNodes
  • LLM-inferred via icpg create --infer-contracts
  • Heuristic (scope → file_exists, test → test_exists)

Anti-Patterns

Anti-PatternDo This Instead
Coding without stating intenticpg create before every non-trivial change
Assuming your change is isolatedicpg query constraints + icpg query risk first
Rebuilding what already existsicpg query prior to check for prior work
Leaving intent in 'executing' foreverUpdate status to 'fulfilled' when done
Ignoring drift eventsicpg drift check weekly, resolve or create new intents
Storing full source in symbolsStore signature + checksum only — read source from files
Skipping bootstrap on existing reposicpg bootstrap --days 90 to build initial graph

平台分布

Codex

35.3%
按下载量换算107

Claude

31.54%
按下载量换算96

Cursor

19.16%
按下载量换算58

Gemini CLI

8.87%
按下载量换算27

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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