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研究检索执行命令github未标认证来源可访问许可证需确认审计异常

heal-skill治愈技能

Agent Skill

heal-skill 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

1,018

周安装

42

GitHub Stars

15,876

下载量

333
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:heal-skill(治愈技能)
来源仓库:https://github.com/everyinc/compound-engineering-plugin
仓库路径:skills/heal-skill
安装命令:
npx skills add https://github.com/everyinc/compound-engineering-plugin --skill heal-skill
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/everyinc/compound-engineering-plugin --skill heal-skill

简介

heal-skill 用于检测运行中的技能故障,分析错误原因并提供修复方案,经用户确认后自动应用更改。

  • 它通过前后对比 diff 展示修改内容,确保修复过程透明可控。
  • 适用于技能执行异常时的快速恢复,提升 Agent 自主纠错能力。
  • 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等操作。
  • heal-skill 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Analyze the conversation to detect which skill is running, reflect on what went wrong, propose specific fixes, get user approval, then apply changes with optional commit.

<quick_start>

  1. Detect skill from conversation context (invocation messages, recent SKILL.md references)
  2. Reflect on what went wrong and how you discovered the fix
  3. Present proposed changes with before/after diffs
  4. Get approval before making any edits
  5. Apply changes and optionally commit

</quick_start>

  • Look for skill invocation messages
  • Check which SKILL.md was recently referenced
  • Examine current task context

Set: SKILL_NAME=[skill-name] and SKILL_DIR=./skills/$SKILL_NAME

If unclear, ask the user. </step_1>

<step_2 name="reflection_and_analysis"> Focus on $ARGUMENTS if provided, otherwise analyze broader context.

Determine:

  • What was wrong: Quote specific sections from SKILL.md that are incorrect
  • Discovery method: Context7, error messages, trial and error, documentation lookup
  • Root cause: Outdated API, incorrect parameters, wrong endpoint, missing context
  • Scope of impact: Single section or multiple? Related files affected?
  • Proposed fix: Which files, which sections, before/after for each </step_2>

<step_3 name="scan_affected_files">

ls -la $SKILL_DIR/
ls -la $SKILL_DIR/references/ 2>/dev/null
ls -la $SKILL_DIR/scripts/ 2>/dev/null

</step_3>

<step_4 name="present_proposed_changes"> Present changes in this format:

**Skill being healed:** [skill-name]
**Issue discovered:** [1-2 sentence summary]
**Root cause:** [brief explanation]

**Files to be modified:**
- [ ] SKILL.md
- [ ] references/[file].md
- [ ] scripts/[file].py

**Proposed changes:**

### Change 1: SKILL.md - [Section name]
**Location:** Line [X] in SKILL.md

**Current (incorrect):**

[exact text from current file]

**Corrected:**

[new text]

**Reason:** [why this fixes the issue]

[repeat for each change across all files]

**Impact assessment:**
- Affects: [authentication/API endpoints/parameters/examples/etc.]

**Verification:**
These changes will prevent: [specific error that prompted this]

</step_4>

<step_5 name="request_approval">

Should I apply these changes?

1. Yes, apply and commit all changes
2. Apply but don't commit (let me review first)
3. Revise the changes (I'll provide feedback)
4. Cancel (don't make changes)

Choose (1-4):

Wait for user response. Do not proceed without approval. </step_5>

<step_6 name="apply_changes"> Only after approval (option 1 or 2):

  1. Use Edit tool for each correction across all files
  2. Read back modified sections to verify
  3. If option 1, commit with structured message showing what was healed
  4. Confirm completion with file list </step_6>

<success_criteria>

  • Skill correctly detected from conversation context
  • All incorrect sections identified with before/after
  • User approved changes before application
  • All edits applied across SKILL.md and related files
  • Changes verified by reading back
  • Commit created if user chose option 1
  • Completion confirmed with file list </success_criteria>
  • Read back each modified section to confirm changes applied
  • Ensure cross-file consistency (SKILL.md examples match references/)
  • Verify git commit created if option 1 was selected
  • Check no unintended files were modified

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

34.45%
按下载量换算115

Claude

28.26%
按下载量换算94

Cursor

19.89%
按下载量换算66

Gemini CLI

9.19%
按下载量换算31

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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 https://github.com/everyinc/compound-engineering-plugin --skill heal-skill 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。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

继续浏览同类 Skills