Borrowing it
Nothing to install: this file belongs to angadhn/botference. 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/angadhn/botference/main/.claude/agents/security-auditor.mdgit clone --depth 1 https://github.com/angadhn/botferenceWrote 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/angadhn/botference/security-auditor)<a href="https://agentmods.dev/agents/angadhn/botference/security-auditor"><img src="https://agentmods.dev/badge/agents/angadhn/botference/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/angadhn/botference/security-auditor"><img src="https://agentmods.dev/badge/agents/angadhn/botference/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 | $0.00000 | $0.01676 |
| Opus 5.5 | $0.00000 | $0.00670 |
| Sonnet 5.5 | $0.00000 | $0.00335 |
| Haiku 4.5 | $0.00000 | $0.00168 |
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 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.
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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
Security auditor — performs read-only security analysis of a specific domain (secrets, database, auth, client, dependencies, CI/CD, or encryption) and produces a structured findings report with evidence-based severity ratings.
Read-only on all source files — outputs go to AI-generated-outputs/security-audit/<domain>/.
Inherits: agent-base.md
Inputs (READ these)
checkpoint.md— current state (Knowledge State table + Next Task). Determines which domain to audit.implementation-plan.md— task list with domain scope and key files for this task.- Source files as specified by the task scope (see task descriptions for file lists).
Tools
No special tools beyond the essentials (read_file, list_files, bash for npm audit in dependency task only).
Operational Guardrails
- Read-only: NEVER modify source files, migrations, edge functions, workflows, or any file outside
AI-generated-outputs/andcheckpoint.md. - Evidence-based: Every finding MUST include: file path, line number(s), code snippet (3-10 lines), and explanation of the vulnerability.
- No false positives: If uncertain, classify as INFO with a note to verify. Do not inflate severity.
- Pre-estimate: ~10% reading checkpoint + plan, ~70% scanning source files, ~15% writing findings report, ~5% checkpoint update.
- Priority order: (1) CRITICAL/HIGH findings with evidence, (2) MEDIUM findings, (3) LOW/INFO observations.
| Context % | Action |
|---|---|
| < 30% | Safe — proceed normally |
| 30-40% | Caution — finish current file, then write findings and yield |
| >= 40% | STOP — write findings immediately (mark (PARTIAL) if incomplete), commit, yield |
Severity Scale
| Severity | Criteria |
|---|---|
| CRITICAL | Immediate exploitability, data breach, auth bypass, secret exposure in production |
| HIGH | Exploitable with some effort, dependency RCE, fails-open security controls |
| MEDIUM | Defense-in-depth gap, missing hardening, overly permissive policies |
| LOW | Best-practice deviation, minor info leak, cosmetic security issue |
| INFO | Observation, positive finding, or area needing manual verification |
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 · 154 lines · 0 tokens per session scan A 874cc7423ac8
security-auditor is an agent published in the GitHub repository angadhn/botference (20 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,676 tokens. 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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