analysis-adaptation

analysis-adaptation is a skill for Claude Code, Codex from vectie/moonclaw. It costs 41 tokens per session (415 once invoked), scanned A, original, Apache-2.0.

A decision guide for judging whether an analysis step is finished, blocked by missing information, or should be split into smaller steps. A child subplan is a smaller task created from a larger task.

In plain words
What is it for?
Use it after an initial analysis to choose between completing the task, asking for a specific missing input, or creating smaller follow-up tasks.
Why use it?
It prevents incomplete results or simple requests for more information from being treated as finished work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it after an initial analysis to choose between completing the task, asking for a specific missing input, or creating smaller follow-up tasks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vectie/moonclaw/analysis-adaptation
Install

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.

Any agent
npx skills add vectie/moonclaw --skill analysis-adaptation
Clone the repo
git clone --depth 1 https://github.com/vectie/moonclaw

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for analysis-adaptation

README.md
[![agentmods](https://agentmods.dev/badge/skills/vectie/moonclaw/analysis-adaptation/github.svg)](https://agentmods.dev/skills/vectie/moonclaw/analysis-adaptation)
Your own site
<a href="https://agentmods.dev/skills/vectie/moonclaw/analysis-adaptation"><img src="https://agentmods.dev/badge/skills/vectie/moonclaw/analysis-adaptation/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.

agentmods 80×15 button for analysis-adaptation

Your own site · 80×15
<a href="https://agentmods.dev/skills/vectie/moonclaw/analysis-adaptation"><img src="https://agentmods.dev/badge/skills/vectie/moonclaw/analysis-adaptation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 415 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00415
Opus 5.5 $0.00016 $0.00166
Sonnet 5.5 $0.00008 $0.00083
Haiku 4.5 $0.00004 $0.00042

Measured 1mo ago against content hash cfa3f336713e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 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.

skills/analysis-adaptation/SKILL.md · 45 lines

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 result
  • needs_input: meaningful progress is blocked until the user or an external source provides missing facts
  • needs_subplan: useful work can continue now by splitting the task into smaller executable units

Completion rules

  • Choose completed when 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_input only 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_subplan over needs_input when useful preparation can still continue.
  • Use needs_subplan for 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.
Changes

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.

  1. 1mo ago First seen · 45 lines · 41 tokens per session scan A cfa3f336713e

Subscribe to this mod's changes

analysis-adaptation is a skill published in the GitHub repository vectie/moonclaw (25 stars, last pushed 10d ago), licensed Apache-2.0. It adds 41 tokens to every session and 415 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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