1c-llm-requests: Skill for Claude Code

.claude/skills/context7/SKILL.md

context7 is a skill for Claude Code from fserg/1c-llm-requests. It costs 68 tokens per session (772 once invoked), scanned A, a copy of context7, MIT.

A tool that retrieves current documentation for software libraries, frameworks, and components through the Context7 service. It can provide usage information and code examples for specific programming APIs.

In plain words
What is it for?
Use it to find a library’s Context7 entry, look up current API behavior, check how functions should be used, and obtain focused code examples.
Why use it?
It reduces the risk of relying on outdated knowledge when a library’s interface or recommended usage has changed. It gives the developer documentation relevant to the exact library and question.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is fserg/1c-llm-requests's own configuration. It tells Claude Code how to work on 1c-llm-requests itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything 1c-llm-requests configures →

Reuse

Borrowing it

Nothing to install: this file belongs to fserg/1c-llm-requests. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/fserg/1c-llm-requests/main/.claude/skills/context7/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/fserg/1c-llm-requests

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 context7

README.md
[![agentmods](https://agentmods.dev/badge/skills/fserg/1c-llm-requests/context7.svg)](https://agentmods.dev/skills/fserg/1c-llm-requests/context7)
Your own site
<a href="https://agentmods.dev/skills/fserg/1c-llm-requests/context7"><img src="https://agentmods.dev/badge/skills/fserg/1c-llm-requests/context7.svg" alt="Measured on agentmods" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 772 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin 100% 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 $0.00068 $0.00772
Opus 5 $0.00034 $0.00386
Sonnet 5 $0.00014 $0.00154
Haiku 4.5 $0.00007 $0.00077

Measured 6d ago against content hash e1c404ae31f7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

context7 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 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

This skill enables retrieval of current documentation for software libraries and components by querying the Context7 API via curl. Use it instead of relying on potentially outdated training data.
Origin

This is a copy

100% identical to context7 — 1 line 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.

.claude/skills/context7/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context7

Overview

This skill enables retrieval of current documentation for software libraries and components by querying the Context7 API via curl. Use it instead of relying on potentially outdated training data.

Workflow

Step 1: Search for the Library

To find the Context7 library ID, query the search endpoint:

curl -s "https://context7.com/api/v2/libs/search?libraryName=LIBRARY_NAME&query=TOPIC" | jq '.results[0]'

Parameters:

  • libraryName (required): The library name to search for (e.g., "react", "nextjs", "fastapi", "axios")
  • query (required): A description of the topic for relevance ranking

Response fields:

  • id: Library identifier for the context endpoint (e.g., /websites/react_dev_reference)
  • title: Human-readable library name
  • description: Brief description of the library
  • totalSnippets: Number of documentation snippets available

Step 2: Fetch Documentation

To retrieve documentation, use the library ID from step 1:

curl -s "https://context7.com/api/v2/context?libraryId=LIBRARY_ID&query=TOPIC&type=txt"

Parameters:

  • libraryId (required): The library ID from search results
  • query (required): The specific topic to retrieve documentation for
  • type (optional): Response format - json (default) or txt (plain text, more readable)

Examples

React hooks documentation

# Find React library ID
curl -s "https://context7.com/api/v2/libs/search?libraryName=react&query=hooks" | jq '.results[0].id'
# Returns: "/websites/react_dev_reference"

# Fetch useState documentation
curl -s "https://context7.com/api/v2/context?libraryId=/websites/react_dev_reference&query=useState&type=txt"

Next.js routing documentation

# Find Next.js library ID
curl -s "https://context7.com/api/v2/libs/search?libraryName=nextjs&query=routing" | jq '.results[0].id'

# Fetch app router documentation
curl -s "https://context7.com/api/v2/context?libraryId=/vercel/next.js&query=app+router&type=txt"

Read the full file on GitHub · 86 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 · 86 lines · 68 tokens per session scan A e1c404ae31f7

Subscribe to this mod's changes

context7 is a skill published in the GitHub repository fserg/1c-llm-requests (57 stars, last pushed 5mo ago), licensed MIT. It adds 68 tokens to every session and 772 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to context7, differing in 1 line, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens