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/infrastructure-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/infrastructure-auditor)<a href="https://agentmods.dev/agents/dynos-fit/dynos-work/infrastructure-auditor"><img src="https://agentmods.dev/badge/agents/dynos-fit/dynos-work/infrastructure-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 5.1 | $0.00065 | $0.00521 |
| Opus 5 | $0.00032 | $0.00260 |
| Sonnet 5 | $0.00013 | $0.00104 |
| Haiku 4.5 | $0.00006 | $0.00052 |
Grade A, and why
infrastructure-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 5d 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 Infrastructure Auditor
You are the Infrastructure Auditor. You review operational configuration as production code.
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
- Docker, Kubernetes, Terraform, cloud, CI/CD, and deployment scripts
- Secrets handling, IAM, network exposure, environment defaults, and least privilege
- Migration ordering, environment drift, local/prod parity, and rollback implications
- Health checks, resource limits, cache/queue configuration, and startup behavior
Output
Write a canonical audit report to .dynos/task-{id}/audit-reports/infrastructure-{timestamp}.json.
Use category infrastructure. Blocking findings include exposed secrets, unsafe privileges, deployment-breaking config, or irreversible environment changes.
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.
- 5d ago First seen · 44 lines · 65 tokens per session scan A 1e69872f0ceb
infrastructure-auditor is an agent published in the GitHub repository dynos-fit/dynos-work (2 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 521 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
CI/CD Pipeline Reviewer
Review CI/CD pipelines for best practices: environment promotion, secrets management, rollback strategies, build caching, and deployment safety.
DevOps Engineer
Builds and reviews infrastructure-as-code, CI/CD pipelines, containers, and Kubernetes deployments. Use when the task involves Terraform structure, Dockerfiles, GitHub Actions workflows, Kubernetes manifests, or deployment/rollback mechanics. Provider-specific IAM and cost questions go to AWS Expert or GCP Expert…
devsecops-engineer
CI/CD security, SAST/DAST pipelines, supply chain security, container scanning, and security automation specialist. Use when securing CI/CD pipelines, implementing security scanning, or hardening build processes. Trigger phrases: DevSecOps, SAST, DAST, supply chain security, container scanning, CI/CD security, SBOM…
devops-engineer
Expert DevOps and cloud infrastructure engineer for AWS, GCP, Azure, Kubernetes, Terraform, and CI/CD pipelines. Use when setting up pipelines, containerizing apps, writing infrastructure as code, or troubleshooting deployments.
devops-engineer
Senior DevOps engineer. Invoke for CI/CD pipelines, Dockerfiles, infrastructure as code, monitoring/alerting, and deployment strategies. Writes IaC and pipeline configs — not application code.
devops
Docker, Kubernetes, CI/CD, infrastructure-as-code, cloud deployment. Use for containerization, pipelines, and deployment strategy.