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 ToruAI/toru-claude-agents --skill scoutgit clone --depth 1 https://github.com/ToruAI/toru-claude-agentsWrote 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/toruai/toru-claude-agents/scout)<a href="https://agentmods.dev/skills/toruai/toru-claude-agents/scout"><img src="https://agentmods.dev/badge/skills/toruai/toru-claude-agents/scout/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/toruai/toru-claude-agents/scout"><img src="https://agentmods.dev/badge/skills/toruai/toru-claude-agents/scout.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 | $0.00437 |
| Opus 5 | $0.00009 | $0.00218 |
| Sonnet 5 | $0.00004 | $0.00087 |
| Haiku 4.5 | $0.00002 | $0.00044 |
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 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.
What it actually says
Scout - Quick Exploration
Delegate exploration tasks to the Scout agent (haiku model - fast & cheap).
Usage
/scout how does authentication work here?
/scout where is the database schema defined?
/scout what options do we have for caching?
/scout # will ask what to explore
Process
-
If no question provided, ask: "What do you want to explore?"
-
Delegate to Scout agent:
"Scout, explore: [question]
Context:
- Project: [current directory/project name]
- Relevant area: [if obvious from question]
Return:
- What you found
- How it works
- Options (if applicable)
- Unknowns or questions for the user"
-
Present Scout's findings to the user
-
Ask: "Want me to dig deeper on anything?"
When to Use
- "How does X work in this codebase?"
- "Where is Y implemented?"
- "What are our options for Z?"
- "Find all places that do X"
- Before starting work on unfamiliar area
- Quick research on approaches
Scout's Strengths
- Fast (haiku model)
- Systematic (follows code paths, checks tests, looks at git history)
- Evidence-based (cites files and line numbers)
- Surfaces unknowns (doesn't hide gaps)
Examples
Exploring a feature:
/scout how does the scraper handle rate limiting?
Finding implementations:
/scout where are all the API endpoints defined?
Researching options:
/scout what libraries could we use for PDF generation?
Understanding patterns:
/scout what's the error handling pattern in this codebase?
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 · 84 lines · 18 tokens per session scan A 5cc33641ba54
scout is a skill published in the GitHub repository ToruAI/toru-claude-agents (15 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 437 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.
Other skills, from other repositories
ln-11-plan-reviewer
Reviews an implementation plan against repository evidence before execution; identifies missing decisions and risks. Not for completed-code review.
ln-12-delivery-reviewer
Reviews a completed change for regressions, unmet acceptance, and release risks. Not for whole-codebase audits or repairs.
ln-21-documentation-auditor
Audits documentation and comments for trustworthy claims, coverage, and discoverability. Not for code, test, or architecture audits.
ln-22-codebase-auditor
Audits cross-cutting code health, security, delivery, and maintainability when no specialist audit is primary. Not for a single delivery review.
ln-23-test-suite-auditor
Audits existing tests for meaningful coverage, trustworthy oracles, and maintenance value. Not for test implementation or a single delivery review.
ln-24-architecture-auditor
Audits implemented architecture, boundaries, dependencies, and configuration ownership. Not for documenting current state or reviewing plans.