Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add J-StaR-Films-Studios/VibeCode-Protocol-Suite --skill security-auditgit clone --depth 1 https://github.com/J-StaR-Films-Studios/VibeCode-Protocol-SuiteWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/security-audit)<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/security-audit"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/security-audit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/security-audit"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/security-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 99 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 99 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 103 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.02202 |
| Opus 5 | $0.00015 | $0.01101 |
| Sonnet 5 | $0.00006 | $0.00440 |
| Haiku 4.5 | $0.00003 | $0.00220 |
Grade A, and why
security-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Audit Skill
A comprehensive, manual deep code audit protocol for security-critical systems. Includes fast "Vibe Coding Guardrails" for the most common AI-assisted development pitfalls.
When to Use
- Before major releases
- Security review requests
- Auditing authentication/payment flows
- When "audit" or "security" is mentioned
- After scaffolding a new project with AI (vibe coding sanity check)
- Before first deploy of any user-facing app
Audit Phases
Phase 0: Scope Definition
Define boundaries:
- FULL_SCAN: Entire codebase
- FEATURE_SCAN: Specific feature (
docs/features/[Name].md) - DIFF_SCAN:
git diff --stagedorgit diff HEAD~1
Phase 1: The Detective (Static Analysis)
# 1. Detect package manager & run dependency audit
# Auto-detect: check which lockfile exists
# pnpm-lock.yaml → pnpm audit
# package-lock.json → npm audit
# yarn.lock → yarn audit
# bun.lockb → bun pm audit (or bunx audit)
pnpm audit # ← swap for your package manager
# 2. Secret scanning (use jstar if available)
jstar detect
# 3. Manual grep patterns:
# Secrets
grep -rE "(api_key|secret|password|token)\s*[:=]\s*['\"\`][a-zA-Z0-9_\-\.]{10,}['\"\`]"
# RCE/Injection
grep -rE "(dangerouslySetInnerHTML|eval\(|exec\(|\.queryRaw)"
# Debugging
grep -rE "(console\.log|debugger|todo)"
Phase 1.5: Vibe Coding Guardrails (AI-Specific Checks)
These are fast, proactive checks that catch the most common vibe-coding security mistakes. Run these before deep analysis. Each takes ~2 minutes.
1.5.1 — Ghost/Phantom Package Detection (Supply Chain)
Risk: AI models hallucinate package names. Attackers register malware under those names.
Note:
npm viewqueries the npm registry directly and works regardless of your package manager (pnpm, yarn, bun, etc.). You don't need npm installed — it's just a registry lookup.
# For each unfamiliar dependency in package.json:
# 1. Verify it exists on the real registry (works with ANY package manager)
npm view <package-name> version # Should return a version, not 404
# Alt for pnpm users: pnpm info <package-name>
# Alt for bun users: bunx npm-cli view <package-name>
# 2. Check download stats (low downloads = suspicious)
npm view <package-name> --json | grep -E "downloads|modified"
# 3. Look for typosquatting (e.g., "lodahs" instead of "lodash")
# Compare against known-good package names
Action: Remove any package that doesn't exist on npm/PyPI or has suspiciously low downloads. Cross-reference with the official docs.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 187 lines · 30 tokens per session scan A 994a003fe691
security-audit is a skill published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (24 stars, last pushed yesterday), licensed ISC. It adds 30 tokens to every session and 2,202 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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