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audit-code审计代码

Agent Skill

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。

总安装

321

周安装

13

GitHub Stars

13

下载量

101
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:audit-code(审计代码)
来源仓库:https://github.com/swader/agent-skills-audit
仓库路径:skills/audit-code
安装命令:
npx skills add https://github.com/swader/agent-skills-audit --skill audit-code
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/swader/agent-skills-audit --skill audit-code

简介

audit-code 用于辅助安全审计、权限检查和常见漏洞排查。

  • 适合梳理敏感配置、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,需先确认最小权限和操作边界。
  • 涉及密钥、令牌或用户数据时,应先确认脱敏方式和操作边界。
  • 当前已有较完整的功能说明,可直接用于相关安全场景。

SKILL.md

Audit Code

Overview

Run an expert-panel audit with strict sequencing and one unified output document. Produce findings first, sorted by severity, with file references, exploit/perf/flow impact, and actionable fixes.

Load references/audit-framework.md before starting the analysis.

Required Inputs

Collect or infer the following:

  • Audit scope: paths, modules, PR diff, or whole repository.
  • Product context: PRD/spec/user stories, trust boundaries, and critical business flows.
  • Runtime context: deployment model, queue/cron/background jobs, traffic profile, data sensitivity, and abuse assumptions.
  • Constraints: timeline, acceptable risk, and preferred remediation style.

If product context is missing, state assumptions explicitly and continue.

Team Roles

Use exactly these roles:

  • Security expert
  • Performance expert
  • UX expert
  • DX expert
  • Edge case master
  • Tie-breaker team lead

The tie-breaker lead resolves conflicts, prioritizes issues, and produces the final single report.

Workflow

Follow this sequence every time:

  1. Build Context Read code + product flows. Identify assets, entry points, high-risk operations, privileged actions, external dependencies, and "failure hurts" journeys.
  2. Build Invariant Coverage Matrix Before specialist pass 1, map critical invariants to every mutating path (HTTP routes, webhooks, async jobs, scripts):
  • Data-integrity invariants: linked records, transaction boundaries, and conflict handling must preserve consistency.
  • Access lifecycle invariants: permission changes (disable/revoke/role change) must take effect across active credentials and privileged actions.
  • Entitlement invariants: plan/tier/feature gates must be enforced on every trigger path (API/UI/webhook/job), and queued work must re-check entitlement at execution time.
  • Input/protocol invariants: validation, canonicalization, parser behavior, and payload size/media-type policy must be consistent across equivalent paths.
  • Sentinel semantics invariants: special values (for example 0, empty, NULL) must have one canonical meaning across UI/API/webhook/worker paths.
  • State-transition invariants: lifecycle transitions (active/archived/deleted/expired) must be explicit, legal, and consistently enforced.
  • Cross-trigger policy invariants: business rules (for example downgrade timing, reset authority, pause/resume criteria) must remain consistent across user actions, provider callbacks, and background workers.
  • Mutation outcome invariants: state-changing handlers must only signal success (UX/audit/events) after durable write success; persistence failures must be surfaced.
  • Write-freshness invariants: callback/verification paths must avoid stale full-record rewrites; use conditional field-scoped updates for concurrent edit safety.
  • Idempotency/order invariants: retries, duplicates, and out-of-order events must not corrupt state or duplicate side effects.
  • Time-window invariants: timezone and boundary behavior (expiry, rollovers, DST) must be deterministic.
  • Resource-boundedness invariants: loops, fan-out, queues, and in-memory maps must have caps/backpressure/cleanup.
  • External dependency invariants: timeouts, partial failures, fallback behavior, stale-cache behavior, and explicit provider policy parameters must be intentional.
  • Observability invariants: high-risk state changes and failures must emit actionable, traceable signals with required schema fields (actor/target and before/after context where applicable).
  • Deployment/automation invariants: deployment docs and release scripts must align with CI artifact strategy, branch policy, and path-specific ingress controls. Add domain-specific invariants discovered during context build; do not constrain to this list. Treat missing parity across equivalent paths as a finding candidate.
  1. Pass 1 Specialist Reviews Run role-specific analysis in this order:
  • Security
  • Performance
  • UX
  • DX
  • Edge case master Capture findings using the schema in references/audit-framework.md.
  1. Tie-Breaker Reconciliation Resolve disagreements:
  • Decide whether contested items are true issues.
  • Set severity and confidence.
  • Remove duplicates and merge overlapping findings.
  1. Cross-Review Pass 2 After edge-case findings, rerun specialists:
  • Security/Performance/UX/DX reassess prior findings and new edge-triggered scenarios.
  • Edge case master performs a final pass on residual risk after proposed mitigations.
  1. Final Report Publish one document from the tie-breaker lead with:
  • Findings first (ordered by severity, then blast radius, then exploitability).
  • Open questions/assumptions.
  • Remediation plan with priority, owner type, and verification tests.
  • Short executive summary at the end.

Quality Bar

Enforce these requirements:

  • Use concrete evidence with file references and line numbers where available.
  • Include reproduction steps for security/performance/edge findings when feasible.
  • Prefer actionable fixes over abstract advice.
  • Separate confirmed defects from speculative risks.
  • Mark confidence for each finding.
  • Run a cross-route consistency sweep: equivalent endpoints/jobs must enforce equivalent invariants.
  • Run a required runtime-agnostic edge sweep using references/audit-framework.md (Runtime-Agnostic Edge Sweep).
  • Verify deprecation path integrity: explicit failure semantics, replacement guidance, and docs/spec/skill parity.
  • For fan-out integration endpoints, verify bounded concurrency and partial-failure behavior expectations.
  • Verify state-switch UX integrity for whichever context selector exists in the product (for example workspace/account/tenant/environment): changing it should refresh active views and reset invalid local filters/groupings.
  • Verify partial-update invariants against resulting state (existing + patch), not only provided fields.
  • Verify derived-metric parity: UI formulas and summaries include all policy-required components (for example top-ups, adjustments, and resets), not just base plan values.
  • Verify external billing/provider contract explicitness: behavioral requirements (for example proration/cancel timing/status sync) must be set in code/webhook handling, not left to provider defaults.
  • Verify pagination/filter carryover safety: user-supplied query params survive page transitions without raw interpolation/encoding drift.
  • Verify cross-trigger lifecycle parity: the same business rule is enforced across interactive routes, provider webhooks, and async workers.
  • Verify sentinel-value parity: special configuration values (for example 0 limits) have consistent semantics across all interfaces and documentation.
  • Verify mutation-outcome integrity: state-changing handlers do not swallow write errors and then emit success UX/audit outcomes.
  • Verify deployment artifact policy parity: if CI publishes production artifacts, runbooks/scripts/services should deploy artifacts directly unless explicitly documented otherwise.
  • Verify ingress isolation for signed callbacks/webhooks: deployment docs should define dedicated path controls (header gates/rate policy), not only generic catch-all routing.
  • Verify simulation endpoint parity: test/sandbox endpoint payloads should match production contract shape plus explicit test marker fields.
  • Verify release automation branch parity: branch checks, push targets, and docs use the same canonical branch name.
  • Verify evidence boundaries: classify acceptance criteria as repo-verifiable vs environment-verifiable; report external infra items as unverified assumptions unless runtime evidence is provided.
  • Verify security-hardening doc parity: when implementation is stricter/safer than spec, treat as doc/criteria drift to reconcile, not an implementation regression.
  • Verify remediation traceability: findings-to-fixes status should remain mapped in a live checklist/spec so handoff can continue without hidden assumptions.
  • For each High/Critical finding, include at least one focused regression test/check.

Safety and Policy Guardrails

Apply these guardrails while auditing:

  • Do not provide operational abuse instructions or exploit weaponization details.
  • Evaluate manipulative UX patterns as legal/trust/reputation risk, not as recommended growth tactics.
  • Prioritize user safety, system integrity, and maintainable engineering outcomes.

Output Format

Follow this response structure:

  1. Findings List only validated issues. Use the finding schema in references/audit-framework.md.
  2. Open Questions / Assumptions State missing context that could change priority or validity.
  3. Change Summary Summarize high-impact remediation themes in a few lines.
  4. Suggested Verification List focused tests/checks to confirm each major fix.

Runtime Heuristics

Always apply the runtime-agnostic checklist in references/audit-framework.md (Runtime-Agnostic Edge Sweep). If a stack-specific module exists in that file and matches the target stack, apply it as an additive overlay, not a replacement. If no module matches, infer and state the top stack-specific risk assumptions, then continue the audit.

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

36.51%
按下载量换算37

Claude

30.79%
按下载量换算31

Cursor

17.37%
按下载量换算18

Gemini CLI

10.05%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。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

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