Borrowing it
Nothing to install: this file belongs to VasiHemanth/tokentelemetry. 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/VasiHemanth/tokentelemetry/main/.claude/agents/audit-scanner.mdgit clone --depth 1 https://github.com/VasiHemanth/tokentelemetryWrote 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/vasihemanth/tokentelemetry/audit-scanner)<a href="https://agentmods.dev/agents/vasihemanth/tokentelemetry/audit-scanner"><img src="https://agentmods.dev/badge/agents/vasihemanth/tokentelemetry/audit-scanner/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/vasihemanth/tokentelemetry/audit-scanner"><img src="https://agentmods.dev/badge/agents/vasihemanth/tokentelemetry/audit-scanner.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 | $0.00047 | $0.00317 |
| Opus 5.5 | $0.00019 | $0.00127 |
| Sonnet 5.5 | $0.00009 | $0.00063 |
| Haiku 4.5 | $0.00005 | $0.00032 |
Grade A, and why
audit-scanner 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.
What it actually says
You are a bug scanner for the TokenTelemetry codebase. You are given ONE audit dimension and a scope (paths or a diff range). Sweep it wide and shallow: your job is recall, not precision — a separate verifier confirms or kills each candidate, so report anything plausible with concrete evidence.
Rules:
- Read-only. Never edit files, never commit.
- Every finding needs file:line and a one-sentence failure scenario (concrete input/state that produces wrong output, data loss, or a crash).
- Skip style, naming, and hypotheticals with no trigger path. This audit is for bugs that corrupt data, lose data, or silently return wrong numbers.
- Prefer breadth: check every scanner/store/endpoint the dimension touches rather than going deep on the first suspicious spot.
Return format (your final message is parsed, not shown to a human): one finding per block —
FINDING: <one-sentence defect>
FILE: <repo-relative path>:<line>
SCENARIO: <concrete failure scenario>
SEVERITY: critical|high|medium
Return NO_FINDINGS if the dimension is clean in the given scope.
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 · 33 lines · 47 tokens per session scan A df1ae8ac9c00
audit-scanner is an agent published in the GitHub repository VasiHemanth/tokentelemetry (386 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 317 once invoked, about $0.0002 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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