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/lilmgenius/paperthin/aimnpx skills add LilMGenius/paperthin --skill aimgit clone --depth 1 https://github.com/LilMGenius/paperthinWhat 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 | $0.00072 | $0.00366 |
| Opus 5 | $0.00036 | $0.00183 |
| Sonnet 5 | $0.00014 | $0.00073 |
| Haiku 4.5 | $0.00007 | $0.00037 |
Grade A, and why
aim 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 3d 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
Read the data and propose the intent behind it, for the user to confirm.
Goal
The result is a proposal the user only confirms, revises, or rejects — never a question. Asking makes the user compose a sentence they did not have ready; proposing lets them answer with a yes. If the turn ends with them writing that sentence anyway, the skill missed.
Workflow
- Read every piece of the handed-over data end to end before proposing anything.
- State the intent you read, in one line grounded in what the data actually shows.
- State briefly what you would do next on that intent.
- Ask only to confirm — right, wrong, or adjust.
Rules
- Read before proposing. A proposal without reading is a guess.
- Ground it in the data. Point at what you read, not what you assumed.
- One intent per turn. If two are plausible, propose the likelier and name the other in a clause.
- Confirm, don't compose. If the turn ends with the user assembling a sentence, redo the proposal.
- If the data is too thin to propose from, say so and stop. Do not fall back to asking.
Verification
The user's next reply is short — a yes, a correction, or a small adjustment. If they had to explain what they wanted from scratch, the proposal was wrong, or was really a question in disguise.
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.
- 3d ago First seen · 30 lines · 72 tokens per session scan A 093fc6a2ca87
aim is a skill published in the GitHub repository LilMGenius/paperthin (999 stars, last pushed 15d ago), licensed MIT. It adds 72 tokens to every session and 366 once invoked, about $0.0004 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.
Other skills, from other repositories
foblex-flow
Authoritative guide for working with Foblex Flow (@foblex/flow) in the skill-map UI. Use whenever editing Angular code in ui/ that touches graph rendering — templates with f-flow / f-canvas / f-connection / fNode / fConnector / fDraggable / fZoom / fMarker directives; TypeScript importing from @foblex/flow…
mm-web-bridge
Партнёр louise в claude.ai — обсуждает идеи, ставит их под сомнение, проверяет актуальность в интернете перед решениями на внешних API/библиотеках, и оформляет self-contained промпты для её Claude Code в PowerShell. Use whenever louise обсуждает идею или фичу, просит собрать промпт/задание для PowerShell-Клода…
mm-init-project
Инициализирует или обновляет проект для mm-системы — создаёт passport.md в корне, копию в Obsidian, dashboard.md, handoff.md (скелет), project-instructions.md для claude.ai. Use when user says "оформи проект", "сделай паспорт", "init project", "/mm-init", "/mm-init-project", "обнови паспорт", "регистрирую проект".…
mm-handoff
Генерирует handoff.md — компактную сводку для нового чата claude.ai когда контекст текущего заполнился. Включает 15-категорийный Session Guide (вдохновлено context-mode), выжимку последних сессий, текущее состояние, открытые вопросы, и (если есть GSD) — current phase + last 3 SUMMARY.md. Use when user says "контекст…
mm-save-session
Закрывает текущую Claude Code сессию — сохраняет лог в Obsidian/Claude/Sessions/, обновляет project note, обновляет INDEX.md, перегенерирует handoff.md (для Project Knowledge claude.ai) через /mm-handoff. Если в проекте есть GSD (.planning/ или .gsd/) — также вызывает /gsd-pause-work для technical state в…
mm-resume
Восстановить контекст в начале сессии или после /clear. Читает passport.md + dashboard + последнюю сессию + git status + (если есть GSD) полный контекст планирования (.planning/ для v1 или .gsd/ для v2 — STATE, ROADMAP, текущий phase CONTEXT/PLAN, HANDOFF.json). Выдаёт компактную сводку «где мы». Use when user says…