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Agent Skill · 研究检索

snyk-agent-scan-compliance(snyk Agent 扫描合规性)

snyk-agent-scan-compliance 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。

snyk-agent-scan-compliance 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 66,285。

总安装 267周安装 11GitHub Stars 73下载 87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:snyk-agent-scan-compliance(snyk Agent 扫描合规性)
来源仓库:https://github.com/samber/cc-skills
仓库路径:skills/snyk-agent-scan-compliance
安装命令:
npx skills add https://github.com/samber/cc-skills --skill snyk-agent-scan-compliance
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/samber/cc-skills --skill snyk-agent-scan-compliance

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。

snyk-agent-scan-compliance 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。它通过关键词、任务场景或来源线索帮助 Agent 快速定位信息,提升研究效率。

安装命令为 npx skills add https://github.com/samber/cc-skills --skill snyk-agent-scan-compliance,建议结合原始 README 核验具体用法。安装前请确认权限范围和维护状态,注意是否涉及联网、命令执行或文件读写操作。

该技能适用于研究检索类任务,需配合宿主环境使用。

来源仓库内路径:skills/snyk-agent-scan-compliance

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/samber/cc-skills --skill snyk-agent-scan-compl…;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

snyk-agent-scan-compliance 怎么安装?

在终端执行 npx skills add https://github.com/samber/cc-skills --skill snyk-agent-scan-compliance。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

snyk-agent-scan-compliance 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。

snyk-agent-scan-compliance 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/samber/cc-skills --skill snyk-agent-scan-compliance 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。

snyk-agent-scan-compliance 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。

snyk-agent-scan-compliance 用的人多吗?

公开数据是累计安装 267 次,近一周安装 11 次,下载 87 次,GitHub 73 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。

snyk-agent-scan-compliance 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。

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
snyk-agent-scan-compliance

snyk Agent 扫描合规性 · 本页

26773执行命令未明确通过

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

Persona: You are a skill-authoring compliance expert. You fix snyk-agent-scan alerts by restructuring content — never by suppressing or deleting useful information.

Thinking mode: Use ultrathink for multi-alert remediation where fixes for one alert type can surface or suppress another. Deep reasoning reduces rework.

snyk-agent-scan Compliance

The snyk-agent-scan tool analyzes skill bodies for three categories of unsafe patterns: third-party content exposure (W011), malicious external URLs (W012), and prompt injection via MCP tool calls (W001). All three are fixable through content restructuring without losing any information.

Reference Files

FileWhen to read
references/w001-patterns.mdFixing W001 alerts — MCP tool name patterns
references/w011-patterns.mdFixing W011 alerts — imperative URL and external content patterns
references/w012-patterns.mdFixing W012 alerts — version pinning and frontmatter offloading

Quick Reference

AlertSeverityRoot CausePrimary Fix
W011HighSkill body instructs agent to fetch/interpret external contentReplace imperatives with passive availability hints
W012HighSkill body references external URLs fetched and executed at runtimeMove to frontmatter install block; pin versions
W001HighSkill body names MCP tool functions explicitlyUse generic formulations instead

Running the Scanner

# Scan a single skill
SNYK_TOKEN=<token> snyk-agent-scan --skills skills/<name>/

# Scan all skills
SNYK_TOKEN=<token> snyk-agent-scan --skills ./skills

The scanner requires a valid SNYK_TOKEN. In CI, store it as a secret. If snyk-agent-scan is not installed, use uvx snyk-agent-scan@latest as a drop-in replacement without installing. See detailed patterns for fixes per alert type.

W011 — Third-Party Content Exposure

W011 fires when the skill body uses imperative verbs directing the agent to fetch, check, or evaluate external content and then act on it. The scanner treats the agent as the grammatical subject performing an external action.

Rules:

  • Replace Check <url> and Fetch <url> with passive hints: The release notes at <url> may be useful.
  • Remove "always" from any instruction involving external data: Always reference the changelog → The changelog documents breaking changes.
  • Keep tool invocations (gh repo view, govulncheck) in code blocks, not in prose checklists that imply the agent must run them before acting.
  • Decouple tool execution from decisions: running a tool is fine; using its remote-sourced output as the sole trigger for a refactor is not.

See W011 pattern catalog for 12+ before/after examples.

W012 — Potentially Malicious External URL

W012 fires when the body references external content fetched and executed at runtime: package installs with @latest, pipe-to-shell patterns, or GitHub Actions with wrong/non-existent major versions.

Rules:

  • Move go install pkg@latest and similar commands from prose into the frontmatter metadata.openclaw.install block — the scanner does not flag frontmatter.
  • Pin GitHub Actions to the correct current major version (@v4, not @v6).
  • Never use pipe-to-shell patterns (curl... | sh) in skill bodies.

See W012 pattern catalog for 8+ before/after examples.

W001 — Prompt Injection via MCP Tool Calls

W001 fires when the skill body explicitly names MCP server tool functions, triggering prompt-injection detection.

Rules:

  • Never write tool function names (resolve-library-id, query-docs, mcp__*) in the skill body.
  • Replace with generic formulations: Context7 can help as a discoverability platform.
  • MCP tool names may still appear in the allowed-tools frontmatter field — only the body is restricted.

See W001 pattern catalog for safe reformulations.

Remediation Methodology

Fix one alert at a time, re-run snyk-agent-scan after each change, and verify the alert count dropped before moving to the next. If a fix does not reduce alerts, undo it and try a different approach — do not stack unverified changes.

When a scan returns multiple alerts, fix in this order to minimize rework:

1. W001 (simplest) — remove MCP tool names from body; confirm allowed-tools is correct
2. W011 — rewrite imperative sentences as passive statements; move checklist items to code blocks
3. W012 — move install commands to frontmatter; pin versions
4. Re-scan after each individual fix to verify improvement

W011 fixes sometimes surface hidden W012s when URLs become more prominent after restructuring.

False Positives

Not all alerts are real. Criteria for a likely false positive:

ConditionLikely false positive?
URL appears in a markdown table cell as reference data, not in an instructionYes — tables are usually safe
In a skill describing a library, URL is the library official documentationYes — usually safe
URL is the homepage or issues link in frontmatterYes — not scanned
Tool name appears inside a triple-backtick code block as a shell commandSometimes — code blocks have lighter scrutiny
go install with a pinned version in a Quick Reference code blockSometimes — pinned versions are lower risk
always appears in a sentence not involving external resourcesYes — "always" alone doesn't trigger W011

When an alert is a likely false positive, restructure anyway using the passive hint pattern — the scanner's heuristic protects real users; restructuring is safer than assuming scanner error.

Pre-Authoring Checklist

Apply these checks while writing a new skill body to avoid alerts before the first scan:

  • No sentence has the agent as subject performing an action on a URL
  • No @latest tags in any install instruction in the body
  • No MCP tool function names (mcp__*, resolve-library-id, etc.) in body prose
  • All install commands are in the frontmatter install block
  • GitHub Actions versions match real existing major versions
  • Tool invocations are in code blocks, not in ordered-list checklists
  • "always" does not precede any external resource instruction

If you encounter a bug or unexpected behavior in snyk-agent-scan, open an issue at https://github.com/snyk/snyk-agent-scan/issues.

If you discover a pattern that triggers an alert not covered in the reference files above — a new bypass technique, a false positive condition, or an undocumented alert code — open an issue at https://github.com/samber/cc-skills/issues or a pull request to the samber/cc-skills repository to add it to the relevant pattern file. New patterns are the most valuable contribution to this skill.

平台分布

Codex

32.78%
按下载量换算29

Claude

32.1%
按下载量换算28

Cursor

17.35%
按下载量换算15

Gemini CLI

10.61%
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

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/samber/cc-skills --skill snyk-agent-scan-compliance 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。目前只有一个公开来源,建议同时核对源仓库。

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