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snyk-agent-scan-compliance

Compliance expert for snyk-agent-scan — the agent skill file scanner — NOT for other Snyk CLI tools (snyk test, snyk code SAST, snyk iac, snyk container). Fixes alerts through content restructuring, never by suppressing or deleting information. Covers every file in a skill directory: SKILL.md, references/, assets/, and any secondary markdown. Apply when authoring a new skill, editing an existing one, triaging a failed snyk-agent-scan run locally or in CI, or unblocking a PR held by agent scanner failures. Not applicable to dependency vulnerabilities, code security findings, or infrastructure misconfigurations — those are out of scope.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=samber-cc-skills-skills-snyk-agent-scan-compliance-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
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name snyk-agent-scan-compliance description Compliance expert for snyk-agent-scan — the agent skill file scanner — NOT for other Snyk CLI tools (snyk test, snyk code SAST, snyk iac, snyk container). Fixes alerts through content restructuring, never by suppressing or deleting information. Covers every file in a skill directory: SKILL.md, references/, assets/, and any secondary markdown. Apply when authoring a new skill, editing an existing one, triaging a failed snyk-agent-scan run locally or in CI, or unblocking a PR held by agent scanner failures. Not applicable to dependency vulnerabilities, code security findings, or infrastructure misconfigurations — those are out of scope. user-invocable true license MIT compatibility Designed for Claude Code, Codex or similar harness. metadata {"author":"samber","version":"1.1.0","openclaw":{"emoji":"🔍","homepage":"https://github.com/samber/cc-skills","requires":{"bins":"[Truncated]"},"install":["[Truncated]"],"skill-library-version":"0.4.14"}} allowed-tools Read Edit Write Glob Grep Bash(git:*) Bash(uv:*) Bash(uvx:*) AskUserQuestion Agent 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: Reason as thoroughly as possible for multi-alert remediation where fixes for one alert type can surface or suppress another. Deep reasoning reduces rework. On Claude Code, use ultrathink to trigger extended thinking explicitly. 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 File When to read references/w001-patterns.md Fixing W001 alerts — MCP tool name patterns references/w011-patterns.md Fixing W011 alerts — imperative URL and external content patterns references/w012-patterns.md Fixing W012 alerts — version pinning and frontmatter offloading Quick Reference Alert Severity Root Cause Primary Fix W011 High Skill body instructs agent to fetch/interpret external content Replace imperatives with passive availability hints W012 High Skill body references external URLs fetched and executed at runtime Move to frontmatter install block; pin versions W001 High Skill body names MCP tool functions explicitly Use 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: Condition Likely false positive? URL appears in a markdown table cell as reference data, not in an instruction Yes — tables are usually safe In a skill describing a library, URL is the library official documentation Yes — usually safe URL is the homepage or issues link in frontmatter Yes — not scanned Tool name appears inside a triple-backtick code block as a shell command Sometimes — code blocks have lighter scrutiny go install with a pinned version in a Quick Reference code block Sometimes — pinned versions are lower risk always appears in a sentence not involving external resources Yes — "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.
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.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
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