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/vectie/moonclaw/analysis-adaptationnpx skills add vectie/moonclaw --skill analysis-adaptationgit clone --depth 1 https://github.com/vectie/moonclawWrote 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/vectie/moonclaw/analysis-adaptation)<a href="https://agentmods.dev/skills/vectie/moonclaw/analysis-adaptation"><img src="https://agentmods.dev/badge/skills/vectie/moonclaw/analysis-adaptation.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 | $0.00041 | $0.00415 |
| Opus 5 | $0.00020 | $0.00208 |
| Sonnet 5 | $0.00008 | $0.00083 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
analysis-adaptation 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.
What it actually says
Analysis Adaptation
Use this skill after an analysis step returns a first-pass result and MoonClaw must decide whether to complete, wait, or decompose.
Core rule
Be conservative about calling a step completed.
If the output is mainly a blocker report, a request for more information, a screening-only answer, or a list of next actions, it is not complete.
Verdict meanings
completed: the step already delivered a usable resultneeds_input: meaningful progress is blocked until the user or an external source provides missing factsneeds_subplan: useful work can continue now by splitting the task into smaller executable units
Completion rules
- Choose
completedwhen the current output already gives a usable deliverable. - If operator resume guidance explicitly allows assumptions or best-effort guessing, do not downgrade a usable assumption-based deliverable to
needs_input. - If the output contains caveats but still gives a decision-useful result, keep it as
completed.
Missing-input rules
- Use
needs_inputonly when missing facts truly block all meaningful completion. - Missing inputs should be concrete facts, files, numbers, locations, assumptions, or external records.
- Do not ask the user to infer what is missing. State the missing items explicitly.
Subplan rules
- Prefer
needs_subplanoverneeds_inputwhen useful preparation can still continue. - Use
needs_subplanfor research, verification, checklist, template, comparison, extraction, or synthesis tasks that can make progress now. - Do not default to subplanning. Only use it when decomposition materially improves execution.
- Suggested child tasks should be concrete and executable, not vague planning language.
Output discipline
- Return JSON only.
- Use the exact verdict-specific shape required by the runtime.
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 · 45 lines · 41 tokens per session scan A cfa3f336713e
analysis-adaptation is a skill published in the GitHub repository vectie/moonclaw (24 stars, last pushed 12d ago), licensed Apache-2.0. It adds 41 tokens to every session and 415 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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