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/mintlify/docs/doc-readernpx skills add mintlify/docs --skill doc-readergit clone --depth 1 https://github.com/mintlify/docsWhat 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 | $0.00069 | $0.01899 |
| Opus 5 | $0.00034 | $0.00949 |
| Sonnet 5 | $0.00014 | $0.00380 |
| Haiku 4.5 | $0.00007 | $0.00190 |
Grade A, and why
doc-reader 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 2d 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.
curl -s "https://docs.example.com/page.md" How it starts
The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Read documentation effectively
This skill helps you efficiently consume documentation without overwhelming your context window or missing important information.
Quick reference: choose your approach
| Situation | Approach |
|---|---|
| First visit to a doc site | Check for llms.txt, then MCP |
| Know exactly what you're looking for | MCP search or grep llms-full.txt |
| Need to read a specific page | Try .md URL variant first, then HTML |
| Exploring/browsing | View HTML page in browser |
| Need comprehensive understanding | Load llms-full.txt (check length first) |
| Multiple doc sites in one task | Set up MCPs for each |
Step 1: Discover what's available
When you encounter a documentation site, check for AI-friendly resources.
Check for llms.txt
Every well-structured doc site should have an llms.txt file at the root. For example https://docs.example.com/llms.txt or https://example.com/docs/llms.txt.
This file contains:
- A description of what the documentation covers
- Links to each page in the docs
Sites may also have llms-full.txt files at the root which contain all the content on the documentation site as a single .md file.
Try markdown URL variants
Many doc sites serve clean markdown versions of pages at .md URL variants. Prefer the .md URL extensions for easier-to-parse content.
For any specific page you need to read, try the .md variant first:
https://docs.example.com/page → try https://docs.example.com/page.md
If it returns valid markdown (not a 404 or HTML error page), use that instead of fetching the HTML.
Check for skill.md
Some documentation sites provide a skill.md file that teaches you how to work with the product that is documented. Check for it at the root like https://docs.example.com/skill.md or https://example.com/docs/skill.md.
Read the skill to understand the product and features. Add the skill if it will be helpful with your current task:
npx skills add docs.example.com/skill.md
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.
- 2d ago First seen · 240 lines · 69 tokens per session scan A 0feb88e0a004
doc-reader is a skill published in the GitHub repository mintlify/docs (438 stars, last pushed 2d ago), licensed MIT. It adds 69 tokens to every session and 1,899 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 2026-08-30.
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