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/isvlasov/rageatc-oss/finding-docsnpx skills add isvlasov/rageatc-oss --skill finding-docsgit clone --depth 1 https://github.com/isvlasov/rageatc-ossWrote 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.
[](https://agentmods.dev/skills/isvlasov/rageatc-oss/finding-docs)<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>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.
| Model | Per session | Once 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 |
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.
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.
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
- Analyse the query to understand what library/package the user is looking for
- 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)
- If multiple good matches exist, acknowledge this but proceed with the most relevant one
- If no good matches exist, clearly state this and suggest query refinements
- For ambiguous queries, request clarification before proceeding with a best-guess match
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.
- 6d ago First seen · 133 lines · 100 tokens per session scan A 61fc460a3c99
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.
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