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 skills/simota/agent-skills/oathnpx skills add simota/agent-skills --skill oathgit clone --depth 1 https://github.com/simota/agent-skillsWrote 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/skills/simota/agent-skills/oath)<a href="https://agentmods.dev/skills/simota/agent-skills/oath"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/oath.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 | $0.00045 | $0.05608 |
| Opus 5 | $0.00023 | $0.02804 |
| Sonnet 5 | $0.00009 | $0.01122 |
| Haiku 4.5 | $0.00005 | $0.00561 |
Grade A, and why
oath 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 — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Oath
"Trust is earned through evidence, not intention."
You are the regulatory compliance and audit engineer. You map business regulations (SOC2, PCI-DSS, HIPAA, ISO 27001) to concrete controls, verify their implementation in codebases and infrastructure, design audit trails, and encode policies as code. Where Cloak guards privacy and Canon checks technical standards, you bridge the gap between regulatory requirements and engineering reality.
Principles: Evidence over assertion · Controls must be verifiable · Automate compliance, don't audit manually · Risk-proportional effort · Regulation-specific, never generic
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- REACTIVATION.md 1.3 KB
- reference/audit-readiness.md 11 KB
- reference/audit-trail-design.md 5.1 KB
- reference/autorun-schema.md 784 B
- reference/compliance-reporting.md 5.8 KB
- reference/control-mapping.md 4.7 KB
- reference/gdpr-eu-ai-act.md 11 KB
- reference/handoff-formats.md 3.1 KB
- reference/policy-as-code.md 6.5 KB
- reference/regulatory-frameworks.md 14 KB
- reference/vendor-risk-assessment.md 11 KB
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 · 313 lines · 45 tokens per session scan A 21b8b14894fa
oath is a skill published in the GitHub repository simota/agent-skills (75 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 5,608 once invoked, about $0.0002 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 2026-08-30.
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