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constraint-discovery约束发现

Agent Skill

constraint-discovery 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

703

周安装

29

GitHub Stars

公开资料未说明

下载量

230
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

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:constraint-discovery(约束发现)
来源仓库:https://github.com/terrylica/cc-skills
仓库路径:skills/constraint-discovery
安装命令:
npx skills add terrylica/cc-skills --skill "constraint-discovery"
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。

AgentSkills.tonpx skills
npx skills add terrylica/cc-skills --skill "constraint-discovery"

简介

约束发现工具从执行日志中自动提取隐含的业务规则与技术限制。

  • 适用于遗留系统重构或复杂工作流优化场景。constraint-discovery 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 识别未文档化的依赖关系与异常处理边界条件。
  • 需从 terrylica/cc-skills 仓库安装并接入宿主运行环境。
  • 发现结果可能存在噪声,建议结合领域专家进行二次确认。

SKILL.md

name
constraint-discovery
description
Discover project constraints via parallel agents. TRIGGERS - constraint scan, degrees of freedom, project memory.
allowed-tools
Task, TaskOutput, Bash, Read, Grep, Glob

Constraint Discovery Skill

Spawn 5 parallel Explore agents to discover constraints that limit Claude's degrees of freedom.

When to Use

  • Invoked by /ralph:start Step 1.4.5 via Skill tool
  • User asks to analyze project constraints
  • User mentions "degrees of freedom" or "constraint scan"
  • Standalone constraint analysis needed

Agents

Agent 1: Project Memory & Philosophy Constraints

Task tool parameters:
  description: "Analyze project memory constraints"
  subagent_type: "Explore"
  run_in_background: true
  prompt: |
    DEEP DIVE into project memory files AND FOLLOW ALL @ LINKS to discover constraints.

    STEP 1 - READ THESE FILES FIRST:
    - CLAUDE.md (project instructions, philosophy, forbidden patterns)
    - .claude/ directory (memories, settings, agents/*.md)
    - .claude/agents/*.md (agent definitions with @ references)
    - ROADMAP.md (P0/P1 priorities, explicit scope limits)
    - docs/adr/ (Architecture Decision Records)

    STEP 2 - FOLLOW ALL @ LINKS (UNLIMITED DEPTH):
    Parse each file for @ link patterns:
    - @path/to/file.md (relative to project root)
    - @ai_context/PHILOSOPHY.md (ai_context directory)
    - @projectname/path/to/file.md (project prefix)
    - @AGENTS.md, @README.md (root files)

    For EACH @ link found:
    1. Read the linked file
    2. Parse it for more @ links
    3. Recursively follow until no new @ links found

    STEP 3 - EXTRACT CONSTRAINTS FROM ALL FILES:
    - "Do NOT modify X" instructions
    - Philosophy rules (e.g., "prefer simplicity over features")
    - Explicit forbidden patterns
    - Scope limits from ROADMAP

    Return NDJSON: {"source":"agent-memory","severity":"CRITICAL|HIGH|MEDIUM","description":"...","file":"...","linked_from":"...","recommendation":"Ralph should avoid..."}

Agent 2: Architecture & Coupling Constraints

Task tool parameters:
  description: "Analyze architectural constraints"
  subagent_type: "Explore"
  run_in_background: true
  prompt: |
    Analyze architectural patterns that constrain safe modification.

    STEP 1 - READ THESE FILES:
    - pyproject.toml, setup.py (package structure, entry points)
    - Core module __init__.py files (public API surface)
    - docs/adr/ (past architectural decisions)
    - docs/reference/interfaces.md (if exists)

    STEP 2 - FOLLOW @ LINKS (UNLIMITED DEPTH):
    Parse for @ link patterns in ADRs and docs:
    - @docs/reference/*.md, @docs/architecture/*.md
    - @ai_context/*.md (philosophy files)
    Recursively follow until no new @ links found.

    STEP 3 - EXTRACT CONSTRAINTS:
    - Circular imports, tightly coupled modules
    - Public API that cannot change without breaking users
    - Package structure assumptions
    - Cross-layer dependencies

    Return NDJSON: {"source":"agent-arch","severity":"HIGH|MEDIUM|LOW","description":"...","modules":["A","B"],"linked_from":"...","recommendation":"..."}

Agent 3: Research Session Lessons Learned

Task tool parameters:
  description: "Extract research session constraints"
  subagent_type: "Explore"
  run_in_background: true
  prompt: |
    Analyze past research sessions to find lessons learned and forbidden patterns.

    STEP 1 - READ THESE FILES:
    - outputs/research_sessions/*/research_summary.md (most recent 3)
    - outputs/research_sessions/*/research_log.md (if exists)
    - outputs/research_sessions/*/production_config.yaml
    - Any "lessons_learned" or "warnings" sections

    STEP 2 - FOLLOW @ LINKS:
    Research summaries may reference:
    - @strategies/*.yaml (strategy configs that failed)
    - @docs/guides/*.md (guides with constraints)
    Recursively follow until no new @ links found.

    STEP 3 - EXTRACT CONSTRAINTS:
    - Failed experiments (don't repeat these)
    - Hyperparameter ranges that caused issues
    - Strategies that were abandoned and why
    - Explicit warnings from past sessions
    - "Do not explore below X" thresholds

    Return NDJSON: {"source":"agent-research","severity":"HIGH|MEDIUM","description":"Past session found: ...","session":"...","linked_from":"...","recommendation":"Avoid..."}

Agent 4: Testing & Validation Constraints

Task tool parameters:
  description: "Find testing constraints"
  subagent_type: "Explore"
  run_in_background: true
  prompt: |
    Find testing gaps and validation requirements that constrain safe changes.

    STEP 1 - READ THESE FILES:
    - tests/ directory structure
    - pytest.ini, pyproject.toml [tool.pytest] section
    - CI/CD workflows (.github/workflows/)
    - docs/development/testing.md (if exists)

    STEP 2 - FOLLOW @ LINKS:
    Testing docs may reference:
    - @docs/development/*.md (dev guides)
    - @ai_context/*.md (philosophy that affects testing)
    Recursively follow until no new @ links found.

    STEP 3 - EXTRACT CONSTRAINTS:
    - Modules with zero test coverage (risky to modify)
    - Integration tests that must pass
    - Validation thresholds (e.g., min Sharpe ratio, max drawdown)
    - Pre-commit hooks and their requirements
    - "Tests must pass before X" gates

    Return NDJSON: {"source":"agent-testing","severity":"HIGH|MEDIUM|LOW","description":"...","location":"...","linked_from":"...","recommendation":"..."}

Agent 5: Degrees of Freedom Analysis

Task tool parameters:
  description: "Analyze degrees of freedom"
  subagent_type: "Explore"
  run_in_background: true
  prompt: |
    Find explicit and implicit limits on what Ralph can explore.

    STEP 1 - READ THESE FILES:
    - CLAUDE.md (explicit instructions)
    - .claude/ralph-config.json (previous session guidance)
    - .claude/agents/*.md (agent definitions)
    - Config files (*.yaml, *.toml) for hardcoded limits

    STEP 2 - FOLLOW ALL @ LINKS (UNLIMITED DEPTH):
    Parse each file for @ link patterns:
    - @ai_context/IMPLEMENTATION_PHILOSOPHY.md
    - @ai_context/MODULAR_DESIGN_PHILOSOPHY.md
    - @docs/reference/*.md
    - @DISCOVERIES.md, @ai_working/decisions/
    Recursively follow until no new @ links found.

    STEP 3 - EXTRACT FREEDOM CONSTRAINTS:
    - Hard gates (if not X, skip silently)
    - One-way state transitions
    - Configuration that cannot be overridden at runtime
    - Feature flags and their current state
    - Philosophy constraints (e.g., "ruthless simplicity")
    - Escape hatches (--skip-X flags, override mechanisms)

    Return NDJSON: {"source":"agent-freedom","severity":"CRITICAL|HIGH|MEDIUM","description":"...","gate":"...","linked_from":"...","recommendation":"..."}

Execution

MANDATORY: Spawn ALL 5 Task tools in a SINGLE message (parallel execution).

Use run_in_background: true for all agents.

Blocking Gate

After spawning, use TaskOutput with block: true and timeout: 30000 for each agent:

For EACH agent spawned:
  TaskOutput(task_id: "<agent_id>", block: true, timeout: 30000)

Wait for ALL 5 agents (or timeout after 30s each).

Aggregation

Merge agent findings into constraint scan file:

/usr/bin/env bash << 'AGENT_MERGE_SCRIPT'
PROJECT_DIR="${CLAUDE_PROJECT_DIR:-$(pwd)}"
SCAN_FILE="$PROJECT_DIR/.claude/ralph-constraint-scan.jsonl"

# Claude MUST append each agent's NDJSON findings here:
# For each constraint JSON from agent output:
#   echo '{"_type":"constraint","source":"agent-env","severity":"HIGH","description":"..."}' >> "$SCAN_FILE"

echo "=== AGENT FINDINGS MERGED ==="
echo "Constraints in scan file:"
wc -l < "$SCAN_FILE" 2>/dev/null || echo "0"
AGENT_MERGE_SCRIPT

Output

Each agent returns NDJSON with:

  • source: Which agent found it (agent-memory, agent-arch, agent-research, agent-testing, agent-freedom)
  • severity: CRITICAL, HIGH, MEDIUM, or LOW
  • description: Human-readable constraint description
  • linked_from: Which file the constraint was discovered from (for @ link tracing)
  • recommendation: What Ralph should avoid or be careful about

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

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

28.54%
按下载量换算66

OpenCode

21.68%
按下载量换算50

Antigravity

17.49%
按下载量换算40

Gemini CLI

11.72%
按下载量换算27

windsurf

7.37%
按下载量换算17

trae

3.8%
按下载量换算9

安全审计

暂无安全审计结果可展示。

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add terrylica/cc-skills --skill "constraint-discovery" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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

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