Borrowing it
Nothing to install: this file belongs to florian-priegnitz/A-Eyes. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/florian-priegnitz/A-Eyes/main/.claude/skills/audit/SKILL.mdgit clone --depth 1 https://github.com/florian-priegnitz/A-EyesWrote 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/florian-priegnitz/a-eyes/audit)<a href="https://agentmods.dev/skills/florian-priegnitz/a-eyes/audit"><img src="https://agentmods.dev/badge/skills/florian-priegnitz/a-eyes/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/florian-priegnitz/a-eyes/audit"><img src="https://agentmods.dev/badge/skills/florian-priegnitz/a-eyes/audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00037 | $0.00568 |
| Opus 5 | $0.00018 | $0.00284 |
| Sonnet 5 | $0.00007 | $0.00114 |
| Haiku 4.5 | $0.00004 | $0.00057 |
Grade A, and why
audit scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
grep -rn "shell: true\|exec(\|execSync(\|spawn(" src/ --include="*.ts" What it actually says
Security Audit
Full security check across dependencies, static analysis, and code review.
Steps
-
Dependency audit:
npx pnpm audit 2>&1Report: number of vulnerabilities by severity. Flag any HIGH or CRITICAL as blockers.
-
Biome lint (security-relevant rules):
npx pnpm lint 2>&1Report any
noEval,noWith,useStrictModeviolations. -
Shell injection check — scan for unsafe patterns:
grep -rn "shell: true\|exec(\|execSync(\|spawn(" src/ --include="*.ts"Any
shell: trueorexecSyncis a finding.exec(withoutFilesuffix is suspicious. -
Path traversal check — scan for unguarded path joins:
grep -rn "path\.join\|path\.resolve" src/ --include="*.ts"Flag any that use user-controlled input without validation.
-
Input sanitization check:
grep -rn "z\.string()" src/ --include="*.ts"Verify all string inputs from MCP tool calls go through Zod before use.
-
PowerShell script audit — check for string interpolation:
grep -rn '"\$' scripts/ --include="*.ps1"Any
"$variable"in PowerShell where the variable comes from user input is a finding. -
Summary report:
Dependencies: N vulnerabilities (H HIGH, M MEDIUM, L LOW) Shell injection: PASS / N findings Path traversal: PASS / N findings Input validation: PASS / N findings PS interpolation: PASS / N findings Overall: PASS / FAIL Blockers for release: [list]
Severity Classification
- BLOCKER (must fix before release): shell injection, path traversal, HIGH/CRITICAL npm vulns
- HIGH (fix soon): unvalidated inputs reaching business logic, MEDIUM npm vulns
- MEDIUM (track): defense-in-depth gaps, LOW npm vulns
- INFO (optional): best practice improvements
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.
- 10d ago First seen · 68 lines · 37 tokens per session scan A 252b5e55977c
audit is a skill published in the GitHub repository florian-priegnitz/A-Eyes (0 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 568 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…