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Agent Skill · 研究检索

gathering-security(聚集安全)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

gathering-security 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,权限为执行命令;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 38,370。

总安装 1,568周安装 66GitHub Stars 4下载 549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:gathering-security(聚集安全)
来源仓库:https://github.com/autumnsgrove/groveengine
仓库路径:skills/gathering-security
安装命令:
npx skills add https://github.com/autumnsgrove/groveengine --skill gathering-security
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/autumnsgrove/groveengine --skill gathering-security

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。

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

可通过 npx skills add 命令从 GitHub 仓库安装,具体用法请参考原始 README。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。gathering-security 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/gathering-security

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/autumnsgrove/groveengine --skill gathering-sec…;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

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

gathering-security 怎么安装?

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

gathering-security 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。

gathering-security 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/autumnsgrove/groveengine --skill gathering-security 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。

gathering-security 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。

gathering-security 用的人多吗?

公开数据是累计安装 1,568 次,近一周安装 66 次,下载 549 次,GitHub 4 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。

gathering-security 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
gathering-security

聚集安全 · 本页

1,5684执行命令未明确有提醒

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

Gathering Security 🌲🕷️🦝🐢

The drum echoes in the shadows. But this time, the conductor stands at the clearing's edge — not doing the work, but orchestrating it. Each animal arrives with fresh eyes, reads its own instructions, and works with full adversarial attention. The Spider weaves auth with precision. The Raccoon rummages with suspicion. The Turtle hardens with patience. Three isolated minds, zero shared sympathy, one fortress built right.

When to Summon

  • Implementing authentication systems
  • Adding OAuth or session management
  • Security auditing before launch
  • After security incidents
  • Preparing for production deployment
  • When auth, security audit, and deep hardening must work together
  • Building a new feature that handles sensitive data
  • Hardening existing code for defense in depth

IMPORTANT: This gathering is a conductor. It never writes code or fixes vulnerabilities directly. It dispatches subagents — one per animal — each with isolated context and an intentional model. The conductor only manages handoffs and gate checks.


The Gathering

SUMMON → DISPATCH → GATE → DISPATCH → GATE → DISPATCH → GATE → FORTIFY
  ↓         ↓        ↓        ↓        ↓        ↓        ↓        ↓
Spec     Spider    Check   Raccoon   Check    Turtle   Check   Final
(self)   (opus)     ✓     (sonnet)    ✓      (opus)    ✓     Verify

Animals Dispatched

OrderAnimalModelRoleFresh Eyes?
1🕷️ SpideropusWeave authenticationYes — sees only the security spec
2🦝 RaccoonsonnetAudit secrets, vulns, dead codeYes — sees only file list from Spider
3🐢 TurtleopusAdversarial hardeningYes — sees file list only, not Spider's reasoning

Reference: Load references/conductor-dispatch.md for exact subagent prompts and handoff formats


Phase 1: SUMMON

*The drum sounds. The shadows shift...*

The conductor receives the security request and prepares the dispatch plan:

Clarify the Security Work:

  • Adding new auth provider? (OAuth, SSO)
  • Securing routes and APIs?
  • General security audit?
  • Deep security hardening?
  • Post-incident cleanup?
  • Pre-production hardening?

Selective Mobilization:

Not every gathering needs all three animals:

SituationAnimals Needed
New auth system + full securityAll three: Spider → Raccoon → Turtle
Auth already exists, need hardeningRaccoon → Turtle
New feature, ensure secure by designTurtle only (or Turtle → Raccoon)
Secrets leak / incident responseRaccoon → Spider (rotate creds) → Turtle (verify)
Pre-production deployRaccoon → Turtle

Error Codes as Security Posture:

All errors MUST use Signpost codes — this is a security requirement, not just a convention:

  • All server errors use codes from the appropriate catalog (API_ERRORS, AUTH_ERRORS, etc.)
  • userMessage is always generic and warm — no technical details leak to clients
  • adminMessage is detailed — stays in server logs only
  • Auth errors NEVER reveal user existence ("Invalid credentials" — not "user not found")
  • logGroveError() for all server errors — never console.error alone

Confirm with the human, then proceed.

Output: Security specification, animal roster, dispatch plan confirmed.


Phase 2: WEAVE (Spider)

*The conductor signals. The Spider descends from the canopy...*

Agent(spider, model: opus)
  Input:  security specification only
  Reads:  spider-weave/SKILL.md + references (MANDATORY)
  Output: auth implementation + file list

Dispatch an opus subagent to implement authentication. The Spider receives ONLY the security specification — no pre-analysis, no opinions. It reads its own skill file and executes its full workflow.

What the Spider builds:

  • OAuth/PKCE flow implementation
  • Session management
  • Route protection middleware
  • CSRF protection
  • Token handling

Handoff to conductor: Auth file list (every file created/modified), auth summary (what was implemented, key decisions), integration points.

Gate check: Run gw dev ci --affected --fail-fast — must compile. If build fails, resume the Spider agent with error output.


Phase 3: AUDIT (Raccoon)

*The Raccoon emerges from the undergrowth, nose twitching...*

Agent(raccoon, model: sonnet)
  Input:  file list from Spider + security scope summary
  Reads:  raccoon-audit/SKILL.md (MANDATORY)
  Output: audit report + applied fixes

Dispatch a sonnet subagent to audit the codebase. The Raccoon receives the file list and a brief scope summary — NOT the Spider's reasoning or implementation details. Fresh eyes for the audit.

What the Raccoon audits:

  • Secrets in code (hardcoded keys, tokens)
  • Dependency vulnerabilities
  • Dead code and unused imports
  • Unsafe patterns (eval, innerHTML, string SQL)
  • Sensitive data in logs

Handoff to conductor: Audit report (findings, fixes applied, remaining concerns), updated file list.

Gate check: Run gw dev ci --affected --fail-fast — must still compile after audit fixes. If broken, resume Raccoon agent.


Phase 4: HARDEN (Turtle)

*The Turtle approaches. It sees only what was built — not why...*

Agent(turtle, model: opus)
  Input:  combined file list ONLY (not Spider's or Raccoon's reasoning)
  Reads:  turtle-harden/SKILL.md + references (MANDATORY)
  Output: hardening report + applied fixes

Dispatch an opus subagent for adversarial security hardening. The Turtle receives ONLY the file list — NOT the Spider's auth decisions or Raccoon's audit reasoning. This is intentional: the Turtle should examine the code with adversarial fresh eyes, not sympathize with prior animals' reasoning.

What the Turtle hardens:

  • Input validation (Zod schemas on all entry points)
  • Output encoding (context-aware, DOMPurify for rich text)
  • Parameterized queries (no string concatenation in SQL)
  • Security headers (CSP with nonces, HSTS, X-Frame)
  • Signpost error codes (verify Spider used them correctly)
  • Rootwork boundary safety (verify no as casts at trust boundaries)
  • Rate limiting on sensitive endpoints
  • CSRF, CORS, session security
  • Exotic attack vectors (prototype pollution, timing attacks, SSRF, race conditions)

Handoff to conductor: Hardening report (vulnerabilities found, fixes applied, defense layers, remaining risks), updated file list.

Gate check: Run gw dev ci --affected --fail-fast — must still compile after hardening.


Phase 5: ITERATION (When Turtle Finds Deep Issues)

*The cycle turns. Some vulnerabilities run deeper than one animal can fix...*

┌──────────────────────────────────────────────────┐
│              SECURITY ITERATION                   │
├──────────────────────────────────────────────────┤
│                                                   │
│  Turtle hardening report                          │
│       │                                           │
│       ▼                                           │
│  Auth vulnerability found?                        │
│     /          \                                  │
│   Yes           No                                │
│    │             │                                │
│    ▼             ▼                                │
│  RESUME Spider  Raccoon/Turtle                    │
│  (same agent)   fixes directly                    │
│    │                                              │
│    ▼                                              │
│  Gate check                                       │
│    │                                              │
│    ▼                                              │
│  RESUME Turtle                                    │
│  (re-verify only changed files)                   │
│    │                                              │
│    ▼                                              │
│  Clean? ──→ ✅ Proceed to FORTIFY                │
│    │                                              │
│    No ──→ Max 3 iterations, then escalate         │
└──────────────────────────────────────────────────┘

Iteration Rules:

  • Turtle finds auth vulnerability → resume Spider agent with specific finding → Spider patches → resume Turtle to re-verify
  • Turtle finds non-auth vulnerability → Turtle fixes directly or conductor applies fix
  • Raccoon finds secrets → Raccoon cleans → resume Turtle to verify no residual exposure
  • Maximum 3 iterations per issue (if more needed, escalate to human)
  • Each iteration focuses only on newly found/fixed items
  • Always resume agents (preserves context), don't spawn new ones

Phase 6: FORTIFY

*The web holds. The audit confirms. The shell endures...*

The conductor runs final verification:

pnpm install
gw dev ci --affected --fail-fast --diagnose

Validation Checklist:

Authentication:
  [ ] Login redirects to provider
  [ ] Callback exchanges code for tokens
  [ ] Sessions created correctly
  [ ] Logout clears sessions server-side
  [ ] Expired tokens rejected

Authorization:
  [ ] Protected routes require auth
  [ ] API endpoints verify tokens
  [ ] Users can't access others' data (IDOR)

Hardening:
  [ ] SQL injection prevented (parameterized queries)
  [ ] XSS prevented (output encoding + CSP)
  [ ] CSRF prevented (tokens + SameSite cookies)
  [ ] Rate limiting active on sensitive endpoints
  [ ] Signpost error codes on every error path
  [ ] Rootwork boundary safety at all trust boundaries

Completion Report:

🌲 GATHERING SECURITY COMPLETE

Security Work: [Description]

DISPATCH LOG
  🕷️ Spider (opus)    — [auth implemented, X files created/modified]
  🦝 Raccoon (sonnet)  — [audit complete, Y findings fixed]
  🐢 Turtle (opus)     — [Z hardening fixes, N defense layers applied]

GATE LOG
  After Spider:   ✅ compiles clean, auth functional
  After Raccoon:  ✅ compiles clean, audit findings resolved
  After Turtle:   ✅ compiles clean, hardening applied
  Iterations:     [N iterations, all resolved / none needed]
  Final CI:       ✅ gw dev ci --affected passes

HARDENING SUMMARY
  | Defense Layer    | Status | Details                    |
  | Input Validation | ✅     | Zod schemas on all entry   |
  | Output Encoding  | ✅     | Context-aware + DOMPurify  |
  | SQL Injection    | ✅     | All queries parameterized  |
  | Security Headers | ✅     | CSP, HSTS, X-Frame         |
  | CORS             | ✅     | Exact origin allowlist     |
  | Session Security | ✅     | HttpOnly, Secure, SameSite |
  | Rate Limiting    | ✅     | Per-endpoint limits        |

Woven tight, audited clean, hardened deep — the forest endures.

Conductor Rules

Never Do Animal Work

The conductor dispatches. It does not implement auth, audit secrets, or harden code. If you catch yourself writing security code, stop — dispatch a subagent.

Fresh Eyes Are a Feature

Turtle intentionally receives LESS context than the full history. It doesn't see Spider's reasoning or Raccoon's audit logic. Adversarial fresh eyes produce better security review.

Gate Every Transition

Run CI between every animal. Don't let bad state cascade.

Resume, Don't Restart

If a gate check fails or iteration is needed, resume the failing agent with the error context. Don't spawn a new one — the resumed agent has its prior work in context.

Selective Mobilization

Not every security gathering needs all three animals. Auth-only work skips Turtle. Hardening-only work skips Spider. The conductor decides based on the request.


Anti-Patterns

The conductor does NOT:

  • Write security code itself (dispatch subagents)
  • Pass full conversation history to every agent (structured handoffs only)
  • Skip gate checks between animals
  • Let agents skip reading their skill file (MANDATORY in every prompt)
  • Let Turtle see Spider's reasoning (adversarial isolation is the point)
  • Continue after a gate failure without fixing it
  • Iterate more than 3 times without escalating to human

Quick Decision Guide

SituationAnimals to DispatchModels
New auth + full securitySpider → Raccoon → Turtleopus, sonnet, opus
Auth exists, need deep hardeningRaccoon → Turtlesonnet, opus
New feature, secure by designTurtle (optionally + Raccoon)opus (+ sonnet)
Incident responseRaccoon → Spider → Turtlesonnet, opus, opus
Pre-production deployRaccoon → Turtlesonnet, opus
Auth-only workSpider → Raccoonopus, sonnet

*Woven tight, audited clean, hardened deep — the forest endures.* 🌲

平台分布

Codex

34.53%
按下载量换算190

Claude

28.94%
按下载量换算159

Cursor

19.49%
按下载量换算107

Gemini CLI

8.7%
按下载量换算48

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

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/autumnsgrove/groveengine --skill gathering-security 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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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