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 skills add shennawardana23/skillme --skill documentation-lookupgit clone --depth 1 https://github.com/shennawardana23/skillmeWrote 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/shennawardana23/skillme/documentation-lookup)<a href="https://agentmods.dev/skills/shennawardana23/skillme/documentation-lookup"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/documentation-lookup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/shennawardana23/skillme/documentation-lookup"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/documentation-lookup.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00066 | $0.00981 |
| Opus 5 | $0.00033 | $0.00491 |
| Sonnet 5 | $0.00013 | $0.00196 |
| Haiku 4.5 | $0.00007 | $0.00098 |
Grade A, and why
documentation-lookup 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation Lookup (Context7)
Training data goes stale the moment a library ships a new version. When a question depends on a library's actual current behavior, fetch it live via Context7 rather than answering from memory.
Core Concepts
- Context7: an MCP server exposing live, indexed library documentation — use it in place of training data for anything version- or API-specific.
- resolve-library-id: returns Context7-compatible library IDs (format
/org/projector/org/project/version) from a library name and query. - query-docs: fetches documentation and code snippets for a given library ID and question. Always call
resolve-library-idfirst — never callquery-docswith a guessed library ID.
When to Use
- Setup or configuration questions ("how do I configure middleware in this framework?")
- Requests for code that depends on a specific library's API ("write a query using this ORM")
- API or reference questions ("what are this library's auth methods?")
- The user names a specific framework or library
How It Works
Step 1: Resolve the Library ID
Call resolve-library-id with the library name taken from the question and the user's full question as the query (the full question improves relevance ranking). A valid Context7 library ID is required before calling query-docs — never skip this step.
Step 2: Select the Best Match
From the results, choose using: name match (prefer the exact or closest match to what was asked), benchmark score (higher indicates better documentation quality), source reputation (prefer high/medium reputation), and version (if the user specified one, prefer a version-specific library ID when listed).
Step 3: Fetch the Documentation
Call query-docs with the selected library ID and the user's specific question — be specific to get relevant snippets rather than a generic dump.
Limit: no more than 3 total calls to resolve-library-id/query-docs combined per question. If the answer is still unclear after 3 calls, state the uncertainty explicitly and use the best information gathered rather than guessing further.
What ships with it
1 file 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.
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.
- 11d ago First seen · 69 lines · 66 tokens per session scan A 92ef852b519e
documentation-lookup is a skill published in the GitHub repository shennawardana23/skillme (2 stars, last pushed 14d ago), licensed Apache-2.0. It adds 66 tokens to every session and 981 once invoked, about $0.0003 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 2026-08-31.
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hello-world
A minimal test skill that greets the user and demonstrates the ASM publish workflow.