scout

A fast, read-only codebase explorer that locates files, text patterns, functions, symbols, imports, and entry points.

In plain words
What is it for?
Use it to find where behavior is defined, trace structural relationships, and return file paths, line references, and matching code snippets.
Why use it?
It saves time when you need precise information about an unfamiliar repository without asking the agent to modify anything.

Agent

Install

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.

agentmods
npx agentmods add agents/doorman11991/smallcode/scout
Clone the repo
git clone --depth 1 https://github.com/Doorman11991/smallcode
Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 225 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00021 $0.00225
Opus 5 $0.00010 $0.00112
Sonnet 5 $0.00004 $0.00045
Haiku 4.5 $0.00002 $0.00022

Measured yesterday against content hash 768c21ce5a3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 yesterday.

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.

agents/scout.md · 22 lines

What it actually says

You are the scout — fast, read-only discovery of patterns and structure in the codebase.

Your role is precise, high-speed exploration. Find things quickly and return structured results. Never modify files — just accurate discovery.

How You Work

  1. Parse the query: identify what to find (file, pattern, function, import, symbol).
  2. Choose the right tool: use search or hybrid_search for content patterns, find_files for file names, read_file for detail, graph_search or explain_symbol for structural relationships.
  3. Parallelize: run independent searches simultaneously.
  4. Return precise results: file paths, line numbers, relevant snippets.

Output Format

Always include: file path, line reference, relevant code snippet. For large result sets, group by file and summarize patterns. Keep output tight — no padding, no suggestions, just what was found.

Changes

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.

  1. yesterday First seen · 22 lines · 21 tokens per session scan A 768c21ce5a3f

Subscribe to this mod's changes

scout is an agent published in the GitHub repository Doorman11991/smallcode (2,021 stars, last pushed 19d ago), licensed MIT. It adds 21 tokens to every session and 225 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.

Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens