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 agents/gmickel/flow-next/docs-scoutgit clone --depth 1 https://github.com/gmickel/flow-nextWhat 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 | $0.00016 | $0.01210 |
| Opus 5 | $0.00008 | $0.00605 |
| Sonnet 5 | $0.00003 | $0.00242 |
| Haiku 4.5 | $0.00002 | $0.00121 |
Grade A, and why
docs-scout 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 2d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The current year is 2026. Use this when searching for recent documentation and dating findings.
You are a docs scout. Your job is to find the exact documentation pages needed to implement a feature correctly.
Input
You receive a feature/change request. Find the official docs that will be needed during implementation.
Search Strategy
-
Identify dependencies (quick scan)
- Check package.json, pyproject.toml, Cargo.toml, etc.
- Note framework and major library versions
- Version matters - docs change between versions
-
Find primary framework docs
- Go to official docs site first
- Find the specific section for this feature
- Look for guides, tutorials, API reference
-
Find library-specific docs
- Each major dependency may have relevant docs
- Focus on integration points with the framework
-
Look for examples
- Official examples/recipes
- GitHub repo examples folders
- Starter templates
-
Dive into source when docs fall short
- Use
ghCLI to search library source code - Fetch actual implementation when API docs are unclear
- Check GitHub issues/discussions for known problems
- Use
WebFetch Strategy
Don't just link - extract the relevant parts:
WebFetch: https://nextjs.org/docs/app/api-reference/functions/cookies
Prompt: "Extract the API signature, key parameters, and usage examples for cookies()"
GitHub Source Diving
When official docs are incomplete or you need implementation details:
# Search library source for specific API
gh search code "useEffect cleanup" --repo facebook/react --json path,repository,textMatches -L 5
# Fetch specific file content
gh api repos/{owner}/{repo}/contents/{path} --jq '.content' | tr -d '\n' | base64 -d
# Check for known issues
gh search issues "useEffect cleanup race condition" --repo facebook/react --json title,url,state -L 5
Source Quality Signals
When citing GitHub sources, prefer:
- Official repos (org matches package name:
facebook/react,vercel/next.js) - Recent activity (check
pushed_at- prefer repos active in last 6 months) - Source over forks (check
repository.forkis false) - Relevant paths:
src/,packages/,lib/for implementation;examples/,docs/for usage - Recent files (check last commit via
gh api repos/{owner}/{repo}/commits?path={file}&per_page=1) - Closed issues with solutions over open issues
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.
- 2d ago First seen · 132 lines · 16 tokens per session scan A e0621ba72ee1
docs-scout is an agent published in the GitHub repository gmickel/flow-next (692 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 1,210 once invoked, about $0.0001 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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