context7

A documentation lookup tool for current information about software libraries, frameworks, and components. It can also provide examples and help check how programming APIs should be used.

In plain words
What is it for?
Use it to look up library documentation, find API examples, verify function usage, and check features in frameworks or components.
Why use it?
It reduces the chance of relying on outdated or incorrect documentation when writing code.

Skill for Claude CodeCodex

Part of the b00t plugin — 16 skills, 1 command, 27 agents, 7 MCP servers 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/elasticdotventures/_b00t_/context7
Any agent
npx skills add elasticdotventures/_b00t_ --skill context7
Clone the repo
git clone --depth 1 https://github.com/elasticdotventures/_b00t_

Made for: Claude Code, Codex.

Or install b00t, the plugin that ships this one along with the rest of its 16 skills, 1 command, 27 agents, 7 MCP servers.

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 unknown 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 $0.00068 $0.00772
Opus 5 $0.00034 $0.00386
Sonnet 5 $0.00014 $0.00154
Haiku 4.5 $0.00007 $0.00077

Measured 3d ago against content hash 03c54428be33, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d 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.
.opencode/skills/context7/SKILL.md · 85 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

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.

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. 3d ago First seen · 85 lines · 68 tokens per session scan A 03c54428be33

Subscribe to this mod's changes

context7 is a skill published in the GitHub repository elasticdotventures/_b00t_ (14 stars, last pushed 3d ago), with no licence file. 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). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.