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-resumegit 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-resume)<a href="https://agentmods.dev/skills/rafmacalaba/armada/armada-resume"><img src="https://agentmods.dev/badge/skills/rafmacalaba/armada/armada-resume/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-resume"><img src="https://agentmods.dev/badge/skills/rafmacalaba/armada/armada-resume.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 | $0.00043 | $0.00261 |
| Opus 5.5 | $0.00017 | $0.00104 |
| Sonnet 5.5 | $0.00009 | $0.00052 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
armada-resume 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: Session Resume
When a session is interrupted (crash, timeout, kill), resume from the last saved state. Do not re-execute completed work. Surface any drift between state and reality.
Rules
- On session start, read
armada/state/active.json. If it exists, the session is being resumed. - Run
armada reconcile(ornode src/cli.js reconcile) to detect drift: phases whose status differs from what is on disk. - Print the resume line and drift list. The resume line shows the active feature, last phase, and next action.
- Continue execution from
nextAction. Do not re-dispatch phases whose status is"passed". - If
phaseGraph.phases[*].statusis"dispatched", check if the subagent returned evidence. If not, re-dispatch that phase.
Example: armada reconcile shows Phase 2 dispatched but no evidence on disk — re-dispatch Phase 2.
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 · 19 lines · 0 tokens per session scan A 912b79872ecf
armada-resume is a skill published in the GitHub repository rafmacalaba/armada (103 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 261 once invoked, about $0.0002 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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