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 alicankiraz1/indexandria --skill doc-searchgit clone --depth 1 https://github.com/alicankiraz1/indexandriaWrote 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/alicankiraz1/indexandria/doc-search)<a href="https://agentmods.dev/skills/alicankiraz1/indexandria/doc-search"><img src="https://agentmods.dev/badge/skills/alicankiraz1/indexandria/doc-search/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/alicankiraz1/indexandria/doc-search"><img src="https://agentmods.dev/badge/skills/alicankiraz1/indexandria/doc-search.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 | $0.00032 | $0.01178 |
| Opus 5 | $0.00016 | $0.00589 |
| Sonnet 5 | $0.00006 | $0.00236 |
| Haiku 4.5 | $0.00003 | $0.00118 |
Grade A, and why
doc-search 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Indexandria — Documentation Fetcher
You have access to Indexandria's MCP tools for pulling web documentation into the conversation. Nothing is stored on disk — all content lives in memory for the session.
Two Workflows
Quick Mode — crawl_docs
Best for 1-15 pages. Content goes directly into context.
crawl_docs("https://react.dev/reference/react/useEffect", depth=1)
Use when:
- User provides a specific docs URL
- You need a single API reference page
- User says "check the docs" for a specific topic
Deep Mode — index_docs + get_indexed_page + search_indexed
Best for 20-100 pages. Crawls everything into memory, returns a compact index. You then selectively retrieve only the pages you need.
# Step 1: Index the docs (returns a table of contents, not full content)
index_docs("https://fastapi.tiangolo.com/tutorial/", depth=2, max_pages=50)
# Step 2: Search for what you need
search_indexed("OAuth2")
# Step 3: Read the relevant pages
get_indexed_page([12, 15])
Use when:
- Working with a full framework or library
- User asks to "learn" or "study" documentation
- Multiple related topics need to be referenced
- A large reference site needs targeted navigation
Choosing the Right Mode
| Scenario | Mode | Example |
|---|---|---|
| Single API/hook/function | Quick, depth=1 |
crawl_docs("https://react.dev/reference/react/useEffect") |
| One tutorial page | Quick, depth=1 |
crawl_docs("https://fastapi.tiangolo.com/tutorial/first-steps/", depth=1) |
| Tutorial section with subpages | Quick, depth=2 |
crawl_docs("https://docs.python.org/3/tutorial/classes.html") |
| Full framework docs | Deep | index_docs("https://fastapi.tiangolo.com/tutorial/", max_pages=60) |
| Large API reference | Deep + patterns | index_docs("https://react.dev/reference/", include_patterns=["*/reference/*"]) |
| Unknown docs structure | Deep, low pages | index_docs(url, max_pages=30) then browse the index |
Using Docs While Writing Code
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 · 117 lines · 32 tokens per session scan A bfc549ead9d7
doc-search is a skill published in the GitHub repository alicankiraz1/indexandria (43 stars, last pushed 6mo ago), licensed MIT. It adds 32 tokens to every session and 1,178 once invoked, about $0.0002 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 2026-08-30.
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