Borrowing it
Nothing to install: this file belongs to matteocervelli/llms. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/matteocervelli/llms/main/.claude/skills/docs/SKILL.mdgit clone --depth 1 https://github.com/matteocervelli/llmsWrote 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/matteocervelli/llms/docs)<a href="https://agentmods.dev/skills/matteocervelli/llms/docs"><img src="https://agentmods.dev/badge/skills/matteocervelli/llms/docs.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 5.1 | $0.00068 | $0.07018 |
| Opus 5 | $0.00034 | $0.03509 |
| Sonnet 5 | $0.00014 | $0.01404 |
| Haiku 4.5 | $0.00007 | $0.00702 |
Grade A, and why
docs scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
4. Verifica: `curl -s https://{domain}/docs/` → controlla 200 OK How it starts
The opening of the file, as written. The whole thing — 726 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/docs — Documentation Pipeline
Unified pipeline for documentation across all project types. Dual mode:
- App mode (app-ratio, app-himalaia, app-levero) → Starlight (Astro) in
site/, deploy su VPS
Mode detection: automatic from repo name and structure:
app-*orsite/exists → app mode (Starlight)private-lib-*→ internal mode (library markdown)- Override:
/docs scaffold --mode appor/docs scaffold --mode internal
Future: Atrium gets a unified Starlight site aggregating all internal docs from libs/services.
Architecture — App Mode (locked)
- SSG: Starlight (Astro) — MIT, i18n IT+EN native, Pagefind search built-in
- Structure:
site/folder inside each app repo (marketing + docs unified Astro project) - URL:
{app-domain}/docs(subfolder, not subdomain) — SEO unificato - Auth:
nginx auth_request → FastAPI /auth/verifyfinché l'app non è pubblica - Deploy:
make deploy-siteoggi; Forgejo Actions staging/stable in futuro - Language: Italiano first, i18n EN configurato da day-0
Architecture — Internal Mode
- Output: plain markdown in
docs/user-guide/(non deployato, letto da sviluppatori e integratori) - Stessi template concettuali di Starlight ma senza MDX/components
- Registry:
docs/docs-registry.yaml(stesso formato, stessa skill) - Nessun
site/, nessun npm, nessun Astro
Quick Start
/docs # stato docs + mode auto-detect
/docs scaffold # app mode: site/ | internal mode: docs/user-guide/
/docs create getting-started # crea pagina da template (adattato al mode)
/docs audit # trova stale, mancanti, link rotti
/docs update # aggiorna pagine stale da git diff + CHANGELOG
/docs translate it # EN→IT (solo app mode)
/docs publish # deploy su VPS (solo app mode)
/docs publish staging # deploy ambiente staging (solo app mode)
/docs review-drafts # lancia N agent paralleli per completare e verificare le draft
/docs registry # mostra stato registry docs del progetto
/docs features # estrae feature list da CHANGELOG + routes/API
/docs migrate # audit strutturale repo + propone migrazione a convenzione
/docs full # scaffold → audit → create missing → review-drafts → (translate → publish se app mode)
What ships with it
15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- templates/docs-registry.yaml 1.2 KB
- templates/faq.md 1.2 KB
- templates/feature-guide.md 1.3 KB
- templates/getting-started.md 2.2 KB
- templates/how-to.md 1.0 KB
- templates/internal/api-reference.md 1.3 KB
- templates/internal/faq.md 632 B
- templates/internal/feature-guide.md 877 B
- templates/internal/getting-started.md 1.7 KB
- templates/internal/how-to.md 736 B
- templates/internal/release-notes.md 435 B
- templates/nginx-site.conf 1.8 KB
- templates/release-notes.md 636 B
- templates/starlight-astro.config.mjs 1.5 KB runs code
- templates/starlight-package.json 263 B
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 · 726 lines · 68 tokens per session scan A d74b68fddcec
docs is a skill published in the GitHub repository matteocervelli/llms (25 stars, last pushed 3mo ago), licensed MIT. It adds 68 tokens to every session and 7,018 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
baoyu-youtube-transcript
A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
read
Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local…
overleaf-sync
A two-way connection between a local paper folder and Overleaf, a web-based LaTeX editor for writing research papers. It lets you move changes between the local files and the shared Overleaf project.