R
risewithvj/AI-Security-Audit-Skills
Proof-backed AI security audit and VAPT skills for Claude Code
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置(取自该仓库的安装命令)
{
"mcpServers": {
"risewithvj-ai-security-audit-skills": {
"command": "npx",
"args": ["skills"]
}
}
}解析自我们于 2026-11-10 抓取的该仓库 README;我们未执行过。
command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
"servers": {
"risewithvj-ai-security-audit-skills": {
"command": "npx",
"args": ["skills"]
}
}
}VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio risewithvj-ai-security-audit-skills -- npx skills
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
- ★ 数取值
- 1 ★ · risewithvj/AI-Security-Audit-Skills · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
- 来源明细
- 从该仓库的 GitHub 页面直接读取 · 条目类型:开源项目
- 收录与活跃
- 收录于 2026-11-11 · 最近见到 2026-11-14 · 共见到 4 次 · 被 2 个来源列出
- 评分构成
- 综合分 203 · 1 ★ · 2 个来源 · repo
- 安装
npx skills
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是
npx skills。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。它适合谁 / 用来做什么?
我们把它归在这些标签下: Agent 技能。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库
risewithvj/AI-Security-Audit-Skills;我们收录于 2026-11-11;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。## 🛡️ Why this exists
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Vibe coding ships apps in days. Security reviews still take weeks, or never happen. So people install five, ten, fifteen security repos, run them all, and get back a wall of scanner noise and AI guesses that nobody trusts.
AI-Security-Audit-Skills takes the best methods from the most-starred security skills and scanners, removes the noise, and adds one thing none of them enforce together: proof.
> 💡 A finding that cannot point to the exact line of code, the attacker, and the concrete damage does not go in the report. Ever.
Two skills, one kit:
| | Skill | What it does |
| 🔍 | /ai-security-audit | Full source-code security audit (white-box VAPT) of any stack: web, API, vibe-coded apps, mobile, cloud/IaC, AI/LLM and MCP apps |
| 🇮🇳 | /ai-dpdp-audit | Dedicated India DPDP Act 2023 + DPDP Rules 2025 audit: PII data map, consent, Rule 6 safeguards, Rule 7 breach readiness, Rule 8 erasure, rights, children's data |
Both produce a VAPT-style DOCX and PDF report and never modify your code.
## 📄 What you get
Sample security audit report (PDF) · Sample DPDP audit report (PDF) · DOCX versions
Every confirmed finding includes: location, a plain-English summary, description, business impact, root cause, the source trace with file and line, the smallest safe fix with code, what the fix could break in production, a regression test, CWE, OWASP 2025 / API 2023 / LLM 2025 mapping, CVSS 4.0, confidence and verifier votes.
## ⚡ What makes it different
| Typical AI security review | AI-Security-Audit-Skills |
| Scanner hits pasted as "vulnerabilities" | Scanner hits are leads; each is traced or dismissed with a reason |
| The AI that found a bug also confirms it | Independent verifiers try to refute it (3 votes in standard mode) and never see the finder's reasoning |
| Cited code is sometimes invented | aisa.py validate re-reads every cited file and line and fails the run if the snippet is not there |
| "Might be vulnerable", "consider adding..." | Hedge words are rejected in confirmed findings. Unsure means needs verification, with the one fact that settles it |
| Severity by gut feeling | CVSS 4.0 vector checked for syntax and score; severity may sit at most one band above it, and only with a written reason |
| Reads the whole repo, burns tokens | Disciplined mapping: map once, load only the checklists your stack uses, tools before tokens |
| Says "the app is secure" | Says exactly what was checked and what was not |
| Auto-fixes that can break production | Recommendations only, each with its production risk and a regression test |
| Secrets copied into reports | Secrets masked everywhere; the validator blocks unredacted keys |
## 🧭 How it works
mermaid
flowchart LR
A[0. Scope gate read-only, source-only] --> B[1. Recon map, trust boundaries, coverage ledger]
B --> C[2. Scanners Semgrep, Gitleaks, Trivy, OSV]
C --> D[3. Hunt isolated hunters per attack class + critics]
D --> E[4. Verify 3 independent votes, machine validation]
E --> F[5. Report DOCX + PDF, recommendations]
style A fill:#1A1A1A,color:#fff,stroke:#FF2A1F
style E fill:#FF2A1F,color:#fff,stroke:#0A0A0A
style F fill:#0A0A0A,color:#fff,stroke:#FF2A1F
The evidence gate: six boxes every confirmed finding must fill
AI-Security-Audit-Skills takes the best methods from the most-starred security skills and scanners, removes the noise, and adds one thing none of them enforce together: proof.
> 💡 A finding that cannot point to the exact line of code, the attacker, and the concrete damage does not go in the report. Ever.
Two skills, one kit:
| | Skill | What it does |
| 🔍 | /ai-security-audit | Full source-code security audit (white-box VAPT) of any stack: web, API, vibe-coded apps, mobile, cloud/IaC, AI/LLM and MCP apps |
| 🇮🇳 | /ai-dpdp-audit | Dedicated India DPDP Act 2023 + DPDP Rules 2025 audit: PII data map, consent, Rule 6 safeguards, Rule 7 breach readiness, Rule 8 erasure, rights, children's data |
Both produce a VAPT-style DOCX and PDF report and never modify your code.
## 📄 What you get
Sample security audit report (PDF) · Sample DPDP audit report (PDF) · DOCX versions
Every confirmed finding includes: location, a plain-English summary, description, business impact, root cause, the source trace with file and line, the smallest safe fix with code, what the fix could break in production, a regression test, CWE, OWASP 2025 / API 2023 / LLM 2025 mapping, CVSS 4.0, confidence and verifier votes.
## ⚡ What makes it different
| Typical AI security review | AI-Security-Audit-Skills |
| Scanner hits pasted as "vulnerabilities" | Scanner hits are leads; each is traced or dismissed with a reason |
| The AI that found a bug also confirms it | Independent verifiers try to refute it (3 votes in standard mode) and never see the finder's reasoning |
| Cited code is sometimes invented | aisa.py validate re-reads every cited file and line and fails the run if the snippet is not there |
| "Might be vulnerable", "consider adding..." | Hedge words are rejected in confirmed findings. Unsure means needs verification, with the one fact that settles it |
| Severity by gut feeling | CVSS 4.0 vector checked for syntax and score; severity may sit at most one band above it, and only with a written reason |
| Reads the whole repo, burns tokens | Disciplined mapping: map once, load only the checklists your stack uses, tools before tokens |
| Says "the app is secure" | Says exactly what was checked and what was not |
| Auto-fixes that can break production | Recommendations only, each with its production risk and a regression test |
| Secrets copied into reports | Secrets masked everywhere; the validator blocks unredacted keys |
## 🧭 How it works
mermaid
flowchart LR
A[0. Scope gate read-only, source-only] --> B[1. Recon map, trust boundaries, coverage ledger]
B --> C[2. Scanners Semgrep, Gitleaks, Trivy, OSV]
C --> D[3. Hunt isolated hunters per attack class + critics]
D --> E[4. Verify 3 independent votes, machine validation]
E --> F[5. Report DOCX + PDF, recommendations]
style A fill:#1A1A1A,color:#fff,stroke:#FF2A1F
style E fill:#FF2A1F,color:#fff,stroke:#0A0A0A
style F fill:#0A0A0A,color:#fff,stroke:#FF2A1F
The evidence gate: six boxes every confirmed finding must fill
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/risewithvj-ai-security-audit-skills/)
- 来源
- github · https://github.com/risewithvj/AI-Security-Audit-Skills
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