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 jggomez/expert-ai-developer-skills --skill documentation-expertgit clone --depth 1 https://github.com/jggomez/expert-ai-developer-skillsWrote 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/jggomez/expert-ai-developer-skills/documentation-expert)<a href="https://agentmods.dev/skills/jggomez/expert-ai-developer-skills/documentation-expert"><img src="https://agentmods.dev/badge/skills/jggomez/expert-ai-developer-skills/documentation-expert/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/jggomez/expert-ai-developer-skills/documentation-expert"><img src="https://agentmods.dev/badge/skills/jggomez/expert-ai-developer-skills/documentation-expert.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 | $0.00042 | $0.00981 |
| Opus 5.5 | $0.00017 | $0.00392 |
| Sonnet 5.5 | $0.00008 | $0.00196 |
| Haiku 4.5 | $0.00004 | $0.00098 |
Grade A, and why
documentation-expert 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 today.
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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation Expert Skill
Overview
This skill guides the authoring, structuring, and automated validation of Zero-Fluff technical documentation, root AGENTS.md guides, official Google DESIGN.md references, and Mermaid.js architectural diagrams. Applying the Diátaxis framework (Tutorials, How-To Guides, Reference, Explanation), it enforces strict line budgets, portable relative links, and zero-boilerplate clarity.
When to Use
Trigger Scenarios
- Authoring or auditing READMEs, runbooks, API references, and root
AGENTS.md(<= 90 lines). - Ensuring documentation aligns with official Google 2-layer
DESIGN.md(<= 110 lines) anddocs/<feature-name>/line caps. - Modeling architectures, sequence flows, or schemas with syntax-safe Mermaid.js diagrams.
- Validating markdown heading hierarchy, relative links, and path portability.
When NOT to Use
- Authoring MADR architectural decisions (
adr-NNN-*.md): Route tosenior-architect-engineering. - Authoring UI token systems (
DESIGN.md): Route toui-ux-designer. - Automated codebase cartography (
project-context.md): Route torepo-research.
Process
Phase 1: Diátaxis Pillar & Zero-Fluff Budget Alignment
- Select one Diátaxis mode per section — never mix tutorials, how-to steps, reference tables, and explanations together.
- Enforce strict Zero-Fluff conciseness caps across project and feature artifacts:
- Root
AGENTS.md <= 90 lines(verified build/lint/test commands, conventions, links toDESIGN.md&context/memory/MEMORY.md). - Root Google
DESIGN.md <= 110 lines(YAML tokens + 8 sections) and feature UI delta indocs/<feature-name>/spec.md(## Design <= 30 lines). - Feature specs in
docs/<feature-name>/: singlespec.md(## Product <= 50,## Design <= 30,## Architecture <= 50),adr-NNN-*.md <= 55 lines,test-matrix.md <= 80 lines; verification reports are returned in the reviewer's final message (<= 50 lines), never written as files.
- Root
What ships with it
3 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.
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.
- today First seen · 69 lines · 42 tokens per session scan A 03453cfd5b72
documentation-expert is a skill published in the GitHub repository jggomez/expert-ai-developer-skills (30 stars, last pushed yesterday), licensed Apache-2.0. It adds 42 tokens to every session and 981 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 2026-11-06.
documentation-expert compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| documentation-expertjggomez/expert-ai-developer-skills | Skill | 30 | yesterday | Apache-2.0 | A | 42 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |