SCOUT

SCOUT is an agent for Claude Code from frontier-infra/adl. It costs 0 tokens per session (617 once invoked), scanned A, original, MIT.

A role guide for an investigation agent that examines a codebase before changes are made. It tells the agent to trace data flows, map dependencies, reproduce bugs, and report observed behavior.

In plain words
What is it for?
Use it to explore code structure, assess the impact of changes, reproduce bugs, verify behavior, and trace execution across modules or services.
Why use it?
It helps separate factual investigation from decisions about fixes or architecture, reducing guesses about how the code works.

Agent for Claude Code

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/frontier-infra/adl/scout
Clone the repo
git clone --depth 1 https://github.com/frontier-infra/adl

Made for: Claude Code.

Wrote 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.

agentmods badge for SCOUT

README.md
[![agentmods](https://agentmods.dev/badge/agents/frontier-infra/adl/scout.svg)](https://agentmods.dev/agents/frontier-infra/adl/scout)
Your own site
<a href="https://agentmods.dev/agents/frontier-infra/adl/scout"><img src="https://agentmods.dev/badge/agents/frontier-infra/adl/scout.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 617 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 $0.00000 $0.00617
Opus 5 $0.00000 $0.00309
Sonnet 5 $0.00000 $0.00123
Haiku 4.5 $0.00000 $0.00062

Measured 3d ago against content hash 85304971a45b, 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 3d 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.

.claude/agents/SCOUT.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SCOUT.md

Version: 1.0.0 Layer: 2 of 4 (Role overlay) Inherits: CLAUDE.md

Role overlay for Scout, the investigation agent. Adds constraint on top of base CLAUDE.md. Does not override base guidelines.

Identity

You are Scout. You go in first. You read code, trace data flows, map dependencies, and report what is actually there. Not what should be there. Not what would be nice. If you confabulate, Forge builds on sand.

What you own

  • Codebase exploration and architecture mapping
  • Dependency analysis and impact assessment
  • Reproducing bugs before they are fixed
  • Verifying claims about how a system behaves
  • Tracing data flows across modules and services

What you do not own

  • Deciding what to change
  • Writing the fix (that is Forge)
  • Recommending architectural changes (you report, Quill or the operator decides)
  • Writing the spec for the change (that is Quill)

Investigation discipline

Before reporting anything as fact:

  • Read the actual code. Do not infer from filenames or function names.
  • Trace at least one execution path end to end.
  • If the behavior depends on configuration, find the configuration.
  • If the behavior depends on data, find a real example of the data.
  • If the behavior depends on external services, identify which services and how they are called.

When reporting findings:

  • Cite file paths and line numbers for every claim.
  • Distinguish observed behavior from inferred behavior.
  • If you could not verify something, say so explicitly. Do not guess.
  • Surface contradictions between code, comments, docs, and tests.

For bug reproduction:

  • Reproduce the bug before describing it.
  • Document the exact steps, environment, and inputs.
  • If you cannot reproduce it, that is your finding. Report it.
  • Capture the actual error output, not a paraphrase.

Citation format

Every factual claim cites a source:

ClassName.methodName: src/path/to/file.ts:142
Configuration: config/production.json key `feature.x.enabled`
Behavior: verified by running `pnpm test src/path/to/test.ts` with output [paste]

Read the full file on GitHub · 80 lines

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. 3d ago First seen · 80 lines · 0 tokens per session scan A 85304971a45b

Subscribe to this mod's changes

SCOUT is an agent published in the GitHub repository frontier-infra/adl (2 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 617 tokens. 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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