finding-docs

finding-docs is a skill for Claude Code from isvlasov/rageatc-oss. It costs 100 tokens per session (1,199 once invoked), scanned A, a copy of context7, MIT.

A workflow for retrieving current documentation, API references, and code examples for developer tools such as libraries, frameworks, SDKs, command-line tools, and cloud services. It first identifies the requested technology, then searches its documentation.

In plain words
What is it for?
Use it to look up setup instructions, configuration, API usage, and code examples for a named technology.
Why use it?
It reduces the risk of relying on outdated or incorrect syntax when working with a developer technology.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the rageatc-code-oss plugin — 21 skills, 5 agents, 1 hook shipped together

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.

agentmods
npx agentmods add skills/isvlasov/rageatc-oss/finding-docs
Any agent
npx skills add isvlasov/rageatc-oss --skill finding-docs
Clone the repo
git clone --depth 1 https://github.com/isvlasov/rageatc-oss

Made for: Claude Code.

Or install rageatc-code-oss, the plugin that ships this one along with the rest of its 21 skills, 5 agents, 1 hook.

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 finding-docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/isvlasov/rageatc-oss/finding-docs.svg)](https://agentmods.dev/skills/isvlasov/rageatc-oss/finding-docs)
Your own site
<a href="https://agentmods.dev/skills/isvlasov/rageatc-oss/finding-docs"><img src="https://agentmods.dev/badge/skills/isvlasov/rageatc-oss/finding-docs.svg" alt="Measured on agentmods" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,199 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 80% copy Near-identical to another mod 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 $0.00100 $0.01199
Opus 5 $0.00050 $0.00600
Sonnet 5 $0.00020 $0.00240
Haiku 4.5 $0.00010 $0.00120

Measured 6d ago against content hash 61fc460a3c99, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

finding-docs 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 6d 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.

Origin

This is a copy

80% identical to context7 — 84 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/rageatc-code-oss/skills/finding-docs/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Finding Documentation

Retrieve current documentation and code examples for any library using the Context7 CLI.

npx ctx7@latest <command>

Workflow

Two-step process -- resolve the library name to an ID, then query docs with that ID.

# Step 1: Resolve library ID
ctx7 library <name> <query>

# Step 2: Query documentation
ctx7 docs <libraryId> <query>

You MUST call ctx7 library first to obtain a valid library ID UNLESS the user explicitly provides a library ID in the format /org/project or /org/project/version.

IMPORTANT: Do not run these commands more than 3 times per question. If you cannot find what you need after 3 attempts, use the best result you have.

Step 1: Resolve a Library

Resolves a package/product name to a Context7-compatible library ID and returns matching libraries.

ctx7 library react "How to clean up useEffect with async operations"
ctx7 library nextjs "How to set up app router with middleware"
ctx7 library prisma "How to define one-to-many relations with cascade delete"

Always pass a query argument -- it is required and directly affects result ranking. Use the user's intent to form the query, which helps disambiguate when multiple libraries share a similar name.

Result fields

Each result includes:

  • Library ID -- Context7-compatible identifier (format: /org/project)
  • Name -- Library or package name
  • Description -- Short summary
  • Code Snippets -- Number of available code examples
  • Source Reputation -- Authority indicator (High, Medium, Low, or Unknown)
  • Benchmark Score -- Quality indicator (100 is the highest score)
  • Versions -- List of versions if available. Use one of those versions if the user provides a version in their query. The format is /org/project/version.

Selection process

  1. Analyse the query to understand what library/package the user is looking for
  2. Select the most relevant match based on:
    • Name similarity to the query (exact matches prioritised)
    • Description relevance to the query's intent
    • Documentation coverage (prioritise libraries with higher Code Snippet counts)
    • Source reputation (consider libraries with High or Medium reputation more authoritative)
    • Benchmark score (higher is better, 100 is the maximum)
  3. If multiple good matches exist, acknowledge this but proceed with the most relevant one
  4. If no good matches exist, clearly state this and suggest query refinements
  5. For ambiguous queries, request clarification before proceeding with a best-guess match

Read the full file on GitHub · 133 lines

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. 6d ago First seen · 133 lines · 100 tokens per session scan A 61fc460a3c99

Subscribe to this mod's changes

finding-docs is a skill published in the GitHub repository isvlasov/rageatc-oss (9 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 1,199 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to context7, differing in 84 lines, and is treated as a copy.