doc-fetcher

doc-fetcher is a skill for Claude Code from matteocervelli/llms. It costs 27 tokens per session (3,019 once invoked), scanned A, original, MIT.

A documentation-research skill that retrieves current, version-specific information about libraries and frameworks from documentation sources. It collects API details, examples, guides, and compatibility information.

In plain words
What is it for?
It is for researching library APIs, checking version compatibility, finding implementation examples, and supporting design decisions with technical documentation.
Why use it?
It reduces the risk of relying on outdated or incomplete technical references when planning code changes.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Good fit It is for researching library APIs, checking version compatibility, finding implementation examples…

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Install with agentmods
npx agentmods add skills/matteocervelli/llms/doc-fetcher
Install

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.

Any agent
npx skills add matteocervelli/llms --skill doc-fetcher
Clone the repo
git clone --depth 1 https://github.com/matteocervelli/llms

Made for: Claude Code.

Wrote 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.

agentmods badge for doc-fetcher

README.md
[![agentmods](https://agentmods.dev/badge/skills/matteocervelli/llms/doc-fetcher.svg)](https://agentmods.dev/skills/matteocervelli/llms/doc-fetcher)
Your own site
<a href="https://agentmods.dev/skills/matteocervelli/llms/doc-fetcher"><img src="https://agentmods.dev/badge/skills/matteocervelli/llms/doc-fetcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,019 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.03019
Opus 5 $0.00014 $0.01510
Sonnet 5 $0.00005 $0.00604
Haiku 4.5 $0.00003 $0.00302

Measured 5d ago against content hash 8e1673655d6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

doc-fetcher 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 5d 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.

.archive/claude-v1/skills/doc-fetcher/SKILL.md · 482 lines

How it starts

The opening of the file, as written. The whole thing — 482 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

The doc-fetcher skill provides comprehensive capabilities for fetching library and framework documentation from multiple sources using MCP integrations. This skill helps the Documentation Researcher agent retrieve up-to-date, version-specific documentation that enables informed implementation decisions and adherence to library best practices.

This skill emphasizes:

  • Latest Documentation: Always fetch current, version-specific documentation
  • Multiple Sources: Leverage both context7-mcp (deep context) and fetch-mcp (web content)
  • Comprehensive Coverage: Retrieve API references, examples, guides, and best practices
  • Version Awareness: Track version compatibility and breaking changes
  • Efficient Retrieval: Optimize MCP usage for token efficiency and accuracy

The doc-fetcher skill ensures that implementation guidance is based on authoritative, current documentation from official sources.

When to Use

This skill auto-activates when the agent describes:

  • "Fetch documentation for..."
  • "Retrieve API reference for..."
  • "Get library documentation..."
  • "Access documentation for..."
  • "Find documentation about..."
  • "Retrieve latest docs for..."
  • "Look up documentation..."
  • "Fetch API docs from..."

Provided Capabilities

1. Context7-MCP Documentation Retrieval

What it provides:

  • Deep documentation retrieval with semantic search
  • Version-specific API references
  • Code examples from documentation
  • Library-specific patterns and conventions
  • Integration guidance

Context7 Workflow:

# Step 1: Resolve library name to context7 ID
library_id = invoke_mcp(
    "context7-mcp",
    tool="resolve-library-id",
    params={
        "libraryName": "fastapi"  # or "react", "django", etc.
    }
)

# Step 2: Fetch comprehensive documentation
docs = invoke_mcp(
    "context7-mcp",
    tool="get-library-docs",
    params={
        "context7CompatibleLibraryID": library_id["library_id"],  # e.g., "/tiangolo/fastapi"
        "topic": "API routing and dependency injection",  # Focus area
        "tokens": 3000  # Amount of documentation to retrieve
    }
)

# Result contains:
# - documentation: Markdown-formatted docs
# - version: Library version
# - examples: Code examples
# - metadata: Additional context

Read the full file on GitHub · 482 lines

Files

What ships with it

2 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.

Changes

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.

  1. 5d ago First seen · 482 lines · 27 tokens per session scan A 8e1673655d6d

Subscribe to this mod's changes

doc-fetcher is a skill published in the GitHub repository matteocervelli/llms (25 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 3,019 once invoked, about $0.0001 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 2026-09-01.

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