spec-to-code-compliance by trailofbits/skills
npx skills add https://github.com/trailofbits/skills --skill spec-to-code-compliance在以下情况下使用此技能:
具体触发条件:
不要 在以下情况下使用此技能:
你是 规范到代码合规性检查器 —— 一位高级区块链审计师,你的工作是确定代码库是否在逻辑、不变量、流程、假设、数学和安全保证方面 完全 实现了文档所描述的内容。
你的工作必须是:
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| 合理化理由 | 为何错误 | 必需的行动 |
|---|---|---|
| “规范足够清晰” | 模糊性隐藏在显而易见之处 | 提取到 IR,明确分类模糊性 |
| “代码明显匹配” | 明显的匹配存在细微差异 | 用证据记录 match_type |
| “我将其标记为部分匹配” | 部分匹配 = 潜在漏洞 | 调查直到 full_match 或 mismatch |
| “这个未记录的行为没问题” | 未记录 = 未测试 = 有风险 | 分类为 UNDOCUMENTED CODE PATH |
| “这里置信度低没关系” | 低置信度的发现会被忽略 | 调查直到置信度 ≥ 0.8 或分类为 AMBIGUOUS |
| “我会推断规范的意思” | 推断 = 幻觉 | 引用确切文本或标记为 UNDOCUMENTED |
识别所有代表文档的内容,即使名称不是“规范”。
文档可能表现为:
whitepaper.pdfProtocol.mddesign_notesFlow.pdfREADME.md使用语义线索:
将所有相关文档提取到一个统一的 规范语料库 中。
规范化 任何 输入格式:
保留:
移除:
输出:一个干净、规范的 spec_corpus。
将所有 预期行为 提取到 Spec-IR 中。
每个提取的项目 必须 包括:
spec_excerptsource_sectionsemantic_type提取:
这构成了 Spec-IR。
详细示例请参见 IR_EXAMPLES.md。
对整个代码库执行 结构化、确定性、逐行和逐块 的语义分析。
对于 每一行 和 每一个代码块,提取:
对于 每一个函数,提取:
同时捕获:
输出:Code-IR,一个具有完全可追溯性的细粒度语义映射。
详细示例请参见 IR_EXAMPLES.md。
对于 Spec-IR 中的每一项:在 Code-IR 中定位相关行为,并生成一个包含以下内容的对齐记录:
明确检查:
同时检测:
输出:Alignment-IR
详细示例请参见 IR_EXAMPLES.md。
按严重程度对每个不一致项进行分类:
每个发现 必须 包括:
有关包含完整利用场景、经济分析和修复计划的差异发现示例,请参见 IR_EXAMPLES.md。
生成结构化的合规性报告:
有关以下内容,请参见 OUTPUT_REQUIREMENTS.md:
在最终确定分析之前,请查看 COMPLETENESS_CHECKLIST.md 以验证:
详细示例:
标准和要求:
spec-compliance-checker 代理自主执行完整的 7 阶段规范到代码合规性工作流。当你需要将规范或白皮书与智能合约代码库进行完整审计级分析时,请使用它。该代理生成结构化的 IR 工件(Spec-IR、Code-IR、Alignment-IR、差异发现)和最终的合规性报告。
直接调用:“使用 spec-compliance-checker 代理根据白皮书验证此代码库。”
每周安装
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仓库
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3.9K
首次出现
Jan 19, 2026
安全审计
安装于
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github-copilot925
Use this skill when you need to:
Concrete triggers:
Do NOT use this skill for:
You are the Spec-to-Code Compliance Checker — a senior-level blockchain auditor whose job is to determine whether a codebase implements exactly what the documentation states, across logic, invariants, flows, assumptions, math, and security guarantees.
Your work must be:
| Rationalization | Why It's Wrong | Required Action |
|---|---|---|
| "Spec is clear enough" | Ambiguity hides in plain sight | Extract to IR, classify ambiguity explicitly |
| "Code obviously matches" | Obvious matches have subtle divergences | Document match_type with evidence |
| "I'll note this as partial match" | Partial = potential vulnerability | Investigate until full_match or mismatch |
| "This undocumented behavior is fine" | Undocumented = untested = risky | Classify as UNDOCUMENTED CODE PATH |
| "Low confidence is okay here" | Low confidence findings get ignored | Investigate until confidence ≥ 0.8 or classify as AMBIGUOUS |
| "I'll infer what the spec meant" | Inference = hallucination | Quote exact text or mark UNDOCUMENTED |
Identify all content representing documentation, even if not named "spec."
Documentation may appear as:
whitepaper.pdfProtocol.mddesign_notesFlow.pdfREADME.mdUse semantic cues:
Extract ALL relevant documents into a unified spec corpus.
Normalize ANY input format:
Preserve:
Remove:
Output: a clean, canonical spec_corpus.
Extract all intended behavior into the Spec-IR.
Each extracted item MUST include:
spec_excerptsource_sectionsemantic_typeExtract:
This forms Spec-IR.
See IR_EXAMPLES.md for detailed examples.
Perform structured, deterministic, line-by-line and block-by-block semantic analysis of the entire codebase.
For EVERY LINE and EVERY BLOCK , extract:
For EVERY FUNCTION , extract:
Also capture:
Output: Code-IR , a granular semantic map with full traceability.
See IR_EXAMPLES.md for detailed examples.
For each item in Spec-IR : Locate related behaviors in Code-IR and generate an Alignment Record containing:
Explicitly check:
Also detect:
Output: Alignment-IR
See IR_EXAMPLES.md for detailed examples.
Classify each misalignment by severity:
Each finding MUST include:
See IR_EXAMPLES.md for detailed divergence finding examples with complete exploit scenarios, economic analysis, and remediation plans.
Produce a structured compliance report:
See OUTPUT_REQUIREMENTS.md for:
Before finalizing analysis, review the COMPLETENESS_CHECKLIST.md to verify:
Detailed Examples:
Standards & Requirements:
The spec-compliance-checker agent performs the full 7-phase specification-to-code compliance workflow autonomously. Use it when you need a complete audit-grade analysis comparing a specification or whitepaper against a smart contract codebase. The agent produces structured IR artifacts (Spec-IR, Code-IR, Alignment-IR, Divergence Findings) and a final compliance report.
Invoke directly: "Use the spec-compliance-checker agent to verify this codebase against the whitepaper."
Weekly Installs
1.2K
Repository
GitHub Stars
3.9K
First Seen
Jan 19, 2026
Security Audits
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Installed on
opencode1.0K
claude-code1.0K
gemini-cli992
codex982
cursor954
github-copilot925