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 shidoyu/scout --skill searchgit clone --depth 1 https://github.com/shidoyu/scoutWrote 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/shidoyu/scout/search)<a href="https://agentmods.dev/skills/shidoyu/scout/search"><img src="https://agentmods.dev/badge/skills/shidoyu/scout/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/shidoyu/scout/search"><img src="https://agentmods.dev/badge/skills/shidoyu/scout/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 | $0.00018 | $0.08385 |
| Opus 5 | $0.00009 | $0.04193 |
| Sonnet 5 | $0.00004 | $0.01677 |
| Haiku 4.5 | $0.00002 | $0.00839 |
Grade A, and why
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 9d 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 — 595 lines — stays where its author put it; the contents beside it link to each section on GitHub.
scout:search v2.2 — Adaptive Search with Primary-Source Focus
Purpose
Maximize the rate of reaching primary sources via web search. Refine query precision through iterative abstraction, adapt search depth and tool selection to domain characteristics, and prioritize authoritative sources in evaluation and synthesis.
Usage
/scout:search what you want to find (natural language)
Design Principles
- Query refinement is the core. Pre-Research → Abstraction → vocabulary acquisition → refined queries. This pipeline is the primary mechanism for reaching accurate information. Do not shortcut it.
- Primary sources are the goal, not the starting point. Early phases (Pre-Research) may use secondary sources for concept understanding. Later phases (Main Search, Re-search) use refined queries to reach primary sources.
- Adapt to the domain. Tool selection and search depth vary by domain characteristics. Not all queries need the same treatment.
- Quality over quantity. Fewer high-quality sources beat many low-quality ones. Collect what's needed, not everything available.
Execution Flow
Step 0.5: Clarify (Conditional)
Execute only when the query is ambiguous and the search outcome would significantly differ based on interpretation.
Ambiguity indicators:
- Comparison axis is unclear (e.g., "best database" — for what use case?)
- Target version/era is unspecified for version-dependent topics
- Jurisdiction/region is omitted for location-dependent topics
- Scope is too broad to design effective queries (e.g., "Rust async best practices" — web backend? embedded? library design?)
If ambiguous: Ask one clarification question. Offer to proceed with an assumed interpretation if the user prefers not to answer.
If clear: Skip entirely. Do not ask unnecessary questions.
Step 1: Analyze
From the user's input, determine:
- Search intent → See Intent Classification Table
- Presence of proper nouns
- Information category → See Language Selection Table
- User's language
- Domain characteristics → See Domain Classification Table
- Risk level — Is this a high-risk topic? (security, compliance, destructive operations, incident response)
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.
- 9d ago First seen · 595 lines · 18 tokens per session scan A eb39d0331c9c
search is a skill published in the GitHub repository shidoyu/scout (3 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 8,385 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 2026-08-31.
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Fetch a Reddit post URL via old.reddit.com HTML scraping — the .json API is blocked for unauthenticated requests since May 2026. Returns structured data: post metadata + nested comments (with depth) + unique external links categorized (github/reddit/external). Persists into capstore tables (reddit.posts, .comments…
web-access
A set of instructions for finding and reading information on the internet, including public pages and some interactive or login-required sites.
keenable-web-search
Web search and research skill. Search the web for current, citable information — news, research papers, documentation, company and market research, fact-checking, and any page beyond the model's training data. Runs a bundled Python script (stdlib only, no API key, no install). NOT for local file operations or non-web…
searxng-web-search
Privacy-respecting web metasearch via the searxng-mcp MCP server. Use when the agent needs current, open-web results for a query and must NOT leak the query to a single tracking engine — SearXNG aggregates many engines (Google, Bing, DuckDuckGo, Wikipedia, …) behind one JSON tool. Use for general lookups…
Security & Privacy Design Review
Review data retention, deletion, backup residency, and cross-border data transfer.
india-compliance-audit
Audits a project against Indian laws — DPDP Act, IT Act, CERT-In, RBI, accessibility, and more. Hybrid: deterministic detectors + AI reasoning. NOT legal advice.