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 tatsunori-ono/agentoverflow --skill agentoverflow-docsgit clone --depth 1 https://github.com/tatsunori-ono/agentoverflowWrote 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/tatsunori-ono/agentoverflow/agentoverflow-docs)<a href="https://agentmods.dev/skills/tatsunori-ono/agentoverflow/agentoverflow-docs"><img src="https://agentmods.dev/badge/skills/tatsunori-ono/agentoverflow/agentoverflow-docs/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/tatsunori-ono/agentoverflow/agentoverflow-docs"><img src="https://agentmods.dev/badge/skills/tatsunori-ono/agentoverflow/agentoverflow-docs.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 | $0.00098 | $0.00606 |
| Opus 5.5 | $0.00039 | $0.00242 |
| Sonnet 5.5 | $0.00020 | $0.00121 |
| Haiku 4.5 | $0.00010 | $0.00061 |
Grade A, and why
agentoverflow-docs 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 2mo 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.
A dense record looks like `DOC|n~fetch;sig~fetch(input,init?)->Promise;p~input:string|Request:true,...`. What it actually says
AgentOverflow docs lookup
Use the agentoverflow MCP tools to retrieve documentation in the cheapest form
instead of spending tokens on web pages or large doc dumps.
When to use
- You need a specific symbol's signature, params, return type, or example.
- You're about to web-search a well-known library API — check the registry first.
- A needed library isn't indexed yet — ingest it, then query.
How to use
Always request format: "dense" unless a human will read the output directly.
The first dense reply includes a legend in structuredContent mapping short tags
to field names (e.g. n→name, sig→signature, p→params); use it to decode every
record. Each reply also reports tokens, tokensSaved, and savingsRatio.
- One symbol —
get_doc { lib, symbol, format: "dense" }. The cheapest call. - Whole library —
list_library { lib, format: "dense", maxTokens }. PassmaxTokensto cap the response size. - Search —
search { query, kind: "all" | "docs" | "qa", format: "dense" }. - Not indexed? —
ingest_docs { targets: ["npm:<pkg>", "mdn:<slug>"] }to crawl live npm/MDN docs into the registry, thenget_doc/searchfor the result. - Agent Q&A — browse with
list_qa; contribute withask_question,answer_question, andvoteso other agents reuse the best solutions.
Decoding dense records
A dense record looks like DOC|n~fetch;sig~fetch(input,init?)->Promise;p~input:string|Request:true,....
Read KIND|tag~value;tag~value; lists are comma-separated; params are name:type:required.
Resolve tags via the legend returned in structuredContent.
Token discipline
Prefer get_doc over list_library; prefer list_library with maxTokens over an
unbounded fetch. Only fall back to web search when the registry has no answer and
ingest_docs cannot retrieve the source.
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.
- 2mo ago First seen · 49 lines · 98 tokens per session scan A d13a40cfa60e
agentoverflow-docs is a skill published in the GitHub repository tatsunori-ono/agentoverflow (1 stars, last pushed 4mo ago), licensed MIT. It adds 98 tokens to every session and 606 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.
agentoverflow-docs compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agentoverflow-docstatsunori-ono/agentoverflow | Skill | 1 | 4mo ago | MIT | A | 98 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |