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 receptron/mulmoterminal --skill collectgit clone --depth 1 https://github.com/receptron/mulmoterminalWrote 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/receptron/mulmoterminal/collect)<a href="https://agentmods.dev/skills/receptron/mulmoterminal/collect"><img src="https://agentmods.dev/badge/skills/receptron/mulmoterminal/collect/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/receptron/mulmoterminal/collect"><img src="https://agentmods.dev/badge/skills/receptron/mulmoterminal/collect.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00046 | $0.00809 |
| Opus 5.5 | $0.00018 | $0.00324 |
| Sonnet 5.5 | $0.00009 | $0.00162 |
| Haiku 4.5 | $0.00005 | $0.00081 |
Grade A, and why
blueprint-glossary-collect 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.
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Collect the terms
.blueprint/answers.json names the documents (documents, one path per line) and whether what you find goes into
the folder's chaff.yaml (write). Read every document in full. The person may not be an engineer: say what you do
in plain words.
Change nothing in the repository: the documents stay exactly as they are, and chaff.yaml is the next step's.
Write only under .blueprint/.
What to collect
- Every term a document defines.
sh <base pack>/checks/chaff.sh tree <file> --format jsonshows chaff's reading: every node ofkinddefinitionnames a defined term inattrs.term(「社員」とは…, (以下「甲」という)). Each must be in the glossary with its definition from that document; the check refuses the glossary otherwise. Add any definition chaff missed. - A term defined more than once, in one document or across them — list every definition. That two definitions disagree is exactly what the person needs to see.
- A word spelled more than one way (サーバー / サーバ, ユーザー / ユーザ, 問い合わせ / 問合せ): every spelling
found, each quoted, and the one to use in
preferred— the one the documents use most, unless a definition or the person's style says otherwise; say why innote. - Jargon: a word only understood inside the organisation (
jargon: true).
Write .blueprint/glossary.json
{ "terms": [
{ "term": "社員",
"definitions": [
{ "source": "kitei.txt", "address": "2", "quote": "「社員」とは、会社と雇用契約を結んでいる者をいう" },
{ "source": "tebiki.md", "address": "h1.1", "quote": "「社員」とは、正社員と契約社員をいいます" } ],
"spellings": [{ "spelling": "社員", "citations": [{ "source": "kitei.txt", "address": "3", "quote": "社員は、テレワークをする日の前日までに" }] }] },
{ "term": "サーバー",
"spellings": [
{ "spelling": "サーバー", "citations": [{ "source": "tebiki.md", "address": "h1.2", "quote": "会社のサーバーに接続できたら" }] },
{ "spelling": "サーバ", "citations": [{ "source": "kitei.txt", "address": "4", "quote": "VPN を通してサーバに接続する" }] } ],
"preferred": "サーバー", "note": "定義の条がサーバーと書くため" }
] }
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.
- 24d ago First seen · 52 lines · 46 tokens per session scan A fd2483d1e3b8
blueprint-glossary-collect is a skill published in the GitHub repository receptron/mulmoterminal (245 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 809 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 2026-10-01.
Other skills, from other repositories
moai-docs-generation
Documentation generation patterns for technical specs, API docs, user guides, and knowledge bases using real tools like Sphinx, MkDocs, TypeDoc, and Nextra. Use when creating docs from code, building doc sites, or automating documentation workflows.
moai-domain-html-report
Markdown-to-single-file-HTML report renderer. Six modes (status, incident, plan, explainer, financial, pr) selected by report type, crossed with three audience tiers (expert, basic, learn) derived from the active output style. The basic and learn tiers enrich the HTML with mermaid flowcharts, worked examples, and…
ase-docs-proofread
Analyze the documents for spelling, capitalization, punctuation, word break, or grammar errors. Use when the user wants to "proofread" or "spellcheck" a document.
ospec
Document-driven OSpec workflow for initialization, change/goal routing, validation, archiving, and durable project knowledge.
gdoc
Read publicly shared Google Docs using curl to download into a file.
atelier-setup
Configure a repository for Atelier's development workflow. Use only when explicitly invoked; inspect existing guidance, issue-tracker and domain-document conventions, preview the proposed configuration, and write only after approval. It does not install Atelier or initialize external tooling.