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 EvilFreelancer/secs --skill auditing-code-for-vulnerabilitiesgit clone --depth 1 https://github.com/EvilFreelancer/secsWrote 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/evilfreelancer/secs/auditing-code-for-vulnerabilities)<a href="https://agentmods.dev/skills/evilfreelancer/secs/auditing-code-for-vulnerabilities"><img src="https://agentmods.dev/badge/skills/evilfreelancer/secs/auditing-code-for-vulnerabilities/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/evilfreelancer/secs/auditing-code-for-vulnerabilities"><img src="https://agentmods.dev/badge/skills/evilfreelancer/secs/auditing-code-for-vulnerabilities.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 | $0.00067 | $0.03042 |
| Opus 5.5 | $0.00027 | $0.01217 |
| Sonnet 5.5 | $0.00013 | $0.00608 |
| Haiku 4.5 | $0.00007 | $0.00304 |
Grade A, and why
auditing-code-for-vulnerabilities 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 1mo 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.
rg -n 'os\.system|subprocess.*shell\s*=\s*True|child_process\.exec\(|execSync|Statement\.execute|\.raw\(|fmt\.Sprintf.*SELECT' This is a copy
91% identical to auditing-code-for-vulnerabilities — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auditing Code for Vulnerabilities
Finding real bugs in source code is a different job from running a scanner. A scanner matches patterns; an auditor builds a model of what the code is supposed to guarantee and then hunts for the paths where that guarantee breaks. This skill is the methodology for the second job.
When to Use
- Auditing a repository, service, or library for security defects
- Reviewing a diff, branch, or pull request for introduced vulnerabilities
- Hunting for a specific bug class across a large codebase
- Validating whether a scanner finding or a reported vulnerability is real
- Building an audit plan and coverage report for a client engagement
When NOT to Use
- Black-box testing of a running app — use
testing-web-applicationsortesting-apis - A PHP codebase specifically — this methodology applies directly; watch for type juggling,
unserialize/phar POP chains, andphp://wrappers - Hunting a planted webshell or backdoor rather than a vulnerability — use
hunting-web-backdoors - Binary-only targets — use
analyzing-binaries - Dependency and build-pipeline risk — use
auditing-supply-chain - Cryptographic construction review — use
reviewing-cryptography - Writing up finished findings — use
reporting-security-findings - Running a multi-agent discovery campaign across a whole target with
builder/critic separation and iteration — use
orchestrating-vulnerability-research, which dispatches this skill as the per-slice hunter
The Loop
Auditing is four passes, not one. Do not skip to pass 3.
1. Context → what does this system protect, and from whom?
2. Attack surface → where does untrusted input enter, and what does it reach?
3. Hunt → trace specific bug classes along those paths
4. Verify → prove exploitability before you write a word
Pass 1: Build context before reading code
Do not open files at random. Spend the first block of effort answering:
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 270 lines · 67 tokens per session scan A fea4dd1a5db2
auditing-code-for-vulnerabilities is a skill published in the GitHub repository EvilFreelancer/secs (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 67 tokens to every session and 3,042 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). It is 91% identical to auditing-code-for-vulnerabilities, differing in 2 lines, and is treated as a copy.
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