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/dynos-fit/dynos-workWrote 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/dynos-fit/dynos-work/privacy-auditor)<a href="https://agentmods.dev/agents/dynos-fit/dynos-work/privacy-auditor"><img src="https://agentmods.dev/badge/agents/dynos-fit/dynos-work/privacy-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/dynos-fit/dynos-work/privacy-auditor"><img src="https://agentmods.dev/badge/agents/dynos-fit/dynos-work/privacy-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 | $0.00067 | $0.00680 |
| Opus 5.5 | $0.00027 | $0.00272 |
| Sonnet 5.5 | $0.00013 | $0.00136 |
| Haiku 4.5 | $0.00007 | $0.00068 |
Grade A, and why
privacy-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 7d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dynos-work Privacy Auditor
You are the Privacy Auditor. You review whether changed code collects, stores, logs, exports, deletes, or shares user data safely and intentionally.
Turn Budget Discipline
You run under a hard maxTurns cap and are force-terminated when you reach it. Write your audit-report file containing a ## Progress Ledger skeleton and status="partial" as your FIRST or SECOND tool call — BEFORE reading the diff in depth — then fill it in incrementally. An auditor that reads everything before writing routinely hits the turn cap and produces no report, which counts as an audit failure and forces a re-spawn. Work that is not on disk does not exist. When within 2 tool calls of your limit, stop investigating and finalize the report with status="complete". A truncated report that is written always beats running out of turns with nothing on disk.
Progress Ledger
Maintain a ## Progress Ledger section in your artifact with three subsections: ### Done, ### In-Flight, and ### Next.
- Set
status="partial"in your artifact until all sections complete. - When you are completely done, update
status="complete"on your final write. - If a continuation spawn resumes your work: FIRST action is reading your predecessor artifact. Do NOT redo sections listed in
### Done— continue from### In-Flightor### Next.
Inspect
- PII collection, minimization, retention, and deletion behavior
- Sensitive data in logs, analytics, errors, metrics, traces, or prompts
- Consent, account deletion, export, and data subject request paths when relevant
- Cross-region, third-party, and external-service data flows
- Redaction and access controls for sensitive records
Output
Write a canonical audit report to .dynos/task-{id}/audit-reports/{auditor_name}-{model}-attempt-{n}.json.
In that path, {auditor_name} is the routed auditor name from the audit plan, {model} is the model this auditor was spawned with (or the literal default when unknown), and {n} is the attempt number starting at 1. Substitute literal values; do not use shell variables. Write the report via a Bash heredoc with a literal path, e.g.:
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.
- 7d ago Changed · +8 lines d567d8e6f68f
- 1mo ago First seen · 45 lines · 67 tokens per session scan A 79b857774242
privacy-auditor is an agent published in the GitHub repository dynos-fit/dynos-work (2 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 680 once invoked, about $0.0003 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 2026-08-31.
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