blueprint-adopt-survey

blueprint-adopt-survey is a skill for Claude Code, Codex from receptron/mulmoterminal. It costs 34 tokens per session (422 once invoked), scanned A, original, MIT.

A survey of named documents that counts style warnings and selects files for cleanup. It reads the requested limits and exclusions but does not edit anything.

In plain words
What is it for?
Use it to measure Markdown or text files and prepare a list for a later editing step.
Why use it?
It lets someone approve the scope before documents change. It also prevents polishing more files than agreed or changing files that were excluded.

Skill for Claude CodeCodex

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

Good fit Use it to measure Markdown or text files and prepare a list for a later editing step.

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Install with agentmods
npx agentmods add skills/receptron/mulmoterminal/survey
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 receptron/mulmoterminal --skill survey
Clone the repo
git clone --depth 1 https://github.com/receptron/mulmoterminal

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 blueprint-adopt-survey

README.md
[![agentmods](https://agentmods.dev/badge/skills/receptron/mulmoterminal/survey/github.svg)](https://agentmods.dev/skills/receptron/mulmoterminal/survey)
Your own site
<a href="https://agentmods.dev/skills/receptron/mulmoterminal/survey"><img src="https://agentmods.dev/badge/skills/receptron/mulmoterminal/survey/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 blueprint-adopt-survey

Your own site · 80×15
<a href="https://agentmods.dev/skills/receptron/mulmoterminal/survey"><img src="https://agentmods.dev/badge/skills/receptron/mulmoterminal/survey.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 422 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 $0.00034 $0.00422
Opus 5.5 $0.00014 $0.00169
Sonnet 5.5 $0.00007 $0.00084
Haiku 4.5 $0.00003 $0.00042

Measured 24d ago against content hash 2081b7942ced, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

blueprint-adopt-survey 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 24d 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.

blueprints/adopt/skills/survey/SKILL.md · 36 lines

What it actually says

Measure what is there today

.blueprint/answers.json names the places chaff will watch (places, a folder or a file a line), what kind of documents they are (kind) and whether a GitHub workflow is wanted (ci). The person may not be an engineer: say what you do in plain words.

Change nothing in the repository: this step only measures. The person approves the setup before anything is written.

Measure

The kind maps to a genre in <usecase pack>/kinds.json. For each place, run sh <base pack>/checks/chaff.sh <place> --genre <genre> --compact and count the warnings and errors, by rule. Read a few of them: a rule that reports mostly what the documents do on purpose may be worth turning down in chaff.yaml rather than shelving — say which, and why, for the person to decide at the gate.

Write .blueprint/adopt.json

{ "genre": "docs/manual", "findings": 2, "proposal": "chaff.yaml に genre と language を書き、今の 2 件を棚に上げる。" }

findings is the number of warnings and errors chaff reports on all the places together, as that genre, now; the check measures it again. If the folder already has a chaff.yaml or a .chaff-baseline.json, say so in proposal: the next step keeps what they hold.

Done when

node <usecase pack>/checks/adopt.mjs survey (with BLUEPRINT_BASE and BLUEPRINT_USECASE set to the pack folders from your prompt) passes. It writes .blueprint/adopt.txt, what the person reads before anything changes.

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. 24d ago Changed · -13 lines · +5 tokens per session 2081b7942ced
  2. 25d ago Changed · +5 lines 6719bd77e045
  3. 27d ago First seen · 44 lines · 29 tokens per session scan A f17c4e13c32e

Subscribe to this mod's changes

blueprint-adopt-survey is a skill published in the GitHub repository receptron/mulmoterminal (245 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 422 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 2026-09-28.