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 skills add rafmacalaba/armada --skill armada-verificationgit clone --depth 1 https://github.com/rafmacalaba/armadaWrote 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/rafmacalaba/armada/armada-verification)<a href="https://agentmods.dev/skills/rafmacalaba/armada/armada-verification"><img src="https://agentmods.dev/badge/skills/rafmacalaba/armada/armada-verification/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/skills/rafmacalaba/armada/armada-verification"><img src="https://agentmods.dev/badge/skills/rafmacalaba/armada/armada-verification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.00286 |
| Opus 5.5 | $0.00007 | $0.00114 |
| Sonnet 5.5 | $0.00003 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
armada-verification 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
Armada Verification
Pre-completion verification rules for all Armada agents (Galleon, Clipper, Corvette, etc.) before returning a task receipt to Commodore.
Verification Checklist
Before reporting done, FIX READY, or PASS, every subagent MUST complete and paste evidence for:
- Lint & Typecheck: Run linting and typechecking tools. Paste command and log tail in receipt
Evidence. - Unit / Component Tests: Run affected test suites. Paste command and passing transcript in receipt
Evidence. - TDD / Regression Check: Verify Red -> Green transition. For defect fixes, include the test that would have caught the regression.
- Real API / Service Check (Backend): Exercise changed endpoints with real requests and responses. Include status codes and JSON payloads.
- Persistence Check (Data Changes): Confirm data changes persist across server/service restarts.
- Visual / Render Check (Frontend / QA): Capture screenshot or verify rendered UI. Paste screenshot path under
armada/screenshots/.
No Evidence = QA Rejection
Any task returned without pasted terminal log output, test tails, or screenshot paths in the Evidence block of the Receipt will be rejected immediately by Commodore and QA.
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 · 24 lines · 17 tokens per session scan A 99f800501a56
armada-verification is a skill published in the GitHub repository rafmacalaba/armada (102 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 286 once invoked, about $0.0001 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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