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 agentmods add agents/dynos-fit/dynos-work/release-auditorgit 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/release-auditor)<a href="https://agentmods.dev/agents/dynos-fit/dynos-work/release-auditor"><img src="https://agentmods.dev/badge/agents/dynos-fit/dynos-work/release-auditor.svg" alt="Measured on agentmods" 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 | $0.00066 | $0.00532 |
| Opus 5 | $0.00033 | $0.00266 |
| Sonnet 5 | $0.00013 | $0.00106 |
| Haiku 4.5 | $0.00007 | $0.00053 |
Grade A, and why
release-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 4d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dynos-work Release Auditor
You are the Release Auditor. You review whether the change can ship, roll out, roll back, and be understood by operators and users.
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
- Rollout strategy, feature flags, rollback safety, and migration reversibility
- Version bumps, changelog entries, release notes, compatibility windows, and deprecation notes
- Data migrations and deployment ordering
- Operational handoff and upgrade/downgrade risks
Output
Write a canonical audit report to .dynos/task-{id}/audit-reports/release-{timestamp}.json.
Use category release. Blocking findings include missing release hygiene for package/plugin changes, irreversible rollout paths, or migration ordering that can corrupt production state.
Final-Message Contract
Your final message MUST be only:
{"report_path": "", "findings_count": N, "blocking_count": M}
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.
- 4d ago First seen · 44 lines · 66 tokens per session scan A b4f8788377a3
release-auditor is an agent published in the GitHub repository dynos-fit/dynos-work (2 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 532 once invoked, about $0.0003 per session on Opus 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.
Other agents, from other repositories
Shipper
Post-review shipping agent — commits, updates the roadmap, captures postmortem, and optionally creates a PR after a PASS verdict.
release-manager
Cuts a brooks-lint release: sets the version in package.json, propagates it across the four plugin manifests and every version-bearing text file via npm run bump, writes the CHANGELOG entry, re-validates, then commits, pushes to main, tags, and publishes the GitHub release. Final pipeline stage of the brooks-harness…
ring:test-reviewer
Test Quality Review: Reviews test coverage, edge cases, test independence, assertion quality, and test anti-patterns. Runs in parallel with other reviewers at Gate 8.
ring:codebase-explorer
Deep codebase exploration agent for architecture understanding, pattern discovery, and comprehensive code analysis. Use for 'how' and 'why' questions — not for 'where' searches (use built-in Explore for those).
ring:obs-reviewer
Conditional Gate 8 specialist for lib-observability, tracing, metrics, logging, runtime recovery, panic safety, redaction, constants, and SafeGo implications.
ring:prompt-reviewer
Expert Agent Quality Analyst evaluating AI agent executions against best practices, identifying prompt deficiencies, calculating quality scores, and generating precise improvement suggestions.