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 Redtropig/harness-anchor --skill docs-lookupgit clone --depth 1 https://github.com/Redtropig/harness-anchorWrote 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/redtropig/harness-anchor/docs-lookup)<a href="https://agentmods.dev/skills/redtropig/harness-anchor/docs-lookup"><img src="https://agentmods.dev/badge/skills/redtropig/harness-anchor/docs-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/redtropig/harness-anchor/docs-lookup"><img src="https://agentmods.dev/badge/skills/redtropig/harness-anchor/docs-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 | $0.00032 | $0.01632 |
| Opus 5 | $0.00016 | $0.00816 |
| Sonnet 5 | $0.00006 | $0.00326 |
| Haiku 4.5 | $0.00003 | $0.00163 |
Grade A, and why
docs-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 10d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docs Lookup (with fallback)
When you need authoritative information about an unfamiliar tool / API / error message / library behavior, follow this fallback chain. Each step has explicit success and failure criteria so the agent never silently degrades to guessing.
Step 1: Structured docs MCP (Context7; or Microsoft Learn for .NET/Azure/Windows/MSVC)
↓ (unavailable / no match / wrong content / tool error)
Step 2: WebSearch (broader web, recent ecosystem changes)
↓ (unavailable / no useful results / paywalled)
Step 3: Calibrated uncertainty (tell user what you tried + what's needed)
You do not skip steps. If Step 1 fails, you go to Step 2. If Step 2 fails, you go to Step 3. You do NOT retry Step 1 with the same query hoping for a different answer.
Step 1: Structured docs MCP — Context7, or a first-party MCP for its ecosystem
When it's the right tool: API references, configuration options, well-known libraries (React, CMake, Clang, etc.), version-specific behavior.
Two-call usage (typical Context7 / Microsoft Docs MCP shapes):
1. resolve-library-id(library_name) → canonical id, e.g. /llvm/clang
2. get-library-docs(id, topic="<question>") → structured snippet + citation URL
(Tool names vary by harness: mcp__Context7__*, mcp__plugin_context7_context7__*, mcp__73bcda44-…__query-docs, etc. Use whatever resolves to "Context7" in your tool inventory.)
First-party ecosystem docs MCP — prefer it over Context7 when the topic matches. Context7 is the general default for libraries, but if the question is about a specific vendor ecosystem and that vendor's docs MCP is in your inventory, it is higher-signal (first-party). The prime example: Microsoft Learn (microsoft_docs_search → microsoft_docs_fetch; microsoft_code_sample_search for snippets) for .NET / Azure / Windows / MSVC / Win32 topics — including MSVC compiler errors and Windows-SDK headers in C/C++ work. Same two-call shape (search → fetch) and the same failure-mode handling below; if it is absent or returns nothing useful, fall through to Context7 → WebSearch as normal. (General principle — prefer the first-party MCP for its ecosystem; not a hard dependency.)
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.
- 10d ago First seen · 122 lines · 32 tokens per session scan A c95541f0e009
docs-lookup is a skill published in the GitHub repository Redtropig/harness-anchor (13 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 1,632 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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