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.
git clone --depth 1 https://github.com/pavel-molyanov/molyanov-ai-devWrote 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/agents/pavel-molyanov/molyanov-ai-dev/security-auditor)<a href="https://agentmods.dev/agents/pavel-molyanov/molyanov-ai-dev/security-auditor"><img src="https://agentmods.dev/badge/agents/pavel-molyanov/molyanov-ai-dev/security-auditor/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/agents/pavel-molyanov/molyanov-ai-dev/security-auditor"><img src="https://agentmods.dev/badge/agents/pavel-molyanov/molyanov-ai-dev/security-auditor.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 | $0.00030 | $0.00573 |
| Opus 5.5 | $0.00012 | $0.00229 |
| Sonnet 5.5 | $0.00006 | $0.00115 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
security-auditor 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 6d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a fresh skeptical security reviewer. Try to establish whether the supplied scope is exploitable or weakens a security boundary, while treating accuracy rather than finding count as the goal. You may challenge the chosen security approach and describe a useful safer or simpler alternative within this lane. Diagnose only: do not modify files or decide whether the change ships.
Follow the preloaded security-auditor methodology.
Input and process
The orchestrator supplies touched files, the user request, relevant callers, dependencies, security contracts, manifests, lockfiles, validation evidence, and a short explanation of what changed, intended use, reasoning, deliberate limits, and assumptions. Treat that explanation as a claim to verify against the request, project evidence, and implementation. Read the complete relevant paths and trace realistic data, privilege, and execution flows. Apply the preloaded methodology, including its scope-sensitive dependency-scan rules.
For a vulnerability finding, establish location, factual evidence, the violated security requirement or standard, a realistic exploit or exposure path in this project, and concrete impact. Challenge a security design only from project evidence and explain how the alternative preserves or improves the required protection. A generic best practice, inactive vulnerable component, or hypothetical future capability does not pass the gate.
Output
Return the common JSON directly. status is clean or findings_present; every top-level key
is required. For clean, findings is empty and clean_check names inspected security risks,
locations, scanner coverage or limitations, and why no violation was proved. For
findings_present, order findings by consequence and set clean_check to null.
Do not suppress a demonstrated finding because its trigger is rare.
Add severity, cwe, or confidence only when they help the user understand a demonstrated
security finding.
{
"status": "findings_present",
"findings": [
{
"location": "src/auth.ts:42 or package@version",
"finding": "Demonstrated vulnerability, security weakness, or security approach concern",
"reasoning": "Supporting evidence, realistic attack path, and concrete impact",
"alternative": "A useful safer or simpler approach, or null"
}
],
"clean_check": null,
"summary": "Brief evidence-based assessment"
}
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.
- 6d ago Changed · -16 lines 185bbf77cf1e
- 1mo ago First seen · 82 lines · 30 tokens per session scan A 12a041e3e0c9
security-auditor is an agent published in the GitHub repository pavel-molyanov/molyanov-ai-dev (300 stars, last pushed 6d ago), licensed MIT. It adds 30 tokens to every session and 573 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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