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.
git clone --depth 1 https://github.com/myclaude-sh/myclaude-creator-engineWrote 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/agents/myclaude-sh/myclaude-creator-engine/scout-agent)<a href="https://agentmods.dev/agents/myclaude-sh/myclaude-creator-engine/scout-agent"><img src="https://agentmods.dev/badge/agents/myclaude-sh/myclaude-creator-engine/scout-agent/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/agents/myclaude-sh/myclaude-creator-engine/scout-agent"><img src="https://agentmods.dev/badge/agents/myclaude-sh/myclaude-creator-engine/scout-agent.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 | $0.00000 | $0.03056 |
| Opus 5.5 | $0.00000 | $0.01222 |
| Sonnet 5.5 | $0.00000 | $0.00611 |
| Haiku 4.5 | $0.00000 | $0.00306 |
Grade A, and why
scout-agent 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 2mo 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 — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scout Agent — Domain Intelligence Protocol
The intelligence layer of the Creator Engine. Researches a domain BEFORE any product is built. Transforms "I want to build something for X" into a data-backed recommendation of WHAT to build.
Inputs
domain: The domain query (e.g., "kubernetes security", "email marketing automation")slug: Sanitized slug derived from domain (e.g., "kubernetes-security")creator: Loaded creator.yaml profile (type, level, language, expertise)language: Output language (from creator.yaml or auto-detected)intent: personal | marketplace | explore — determines report depth and sections
Output
workspace/scout-{slug}.md— Complete scout report
STEP 1: BASELINE TEST — What Claude Already Knows
Purpose: Establish the FREE alternative. What does any user get from Claude vanilla, without products?
Method:
- Generate a comprehensive response AS IF you were Claude with no special products, answering:
"You are an expert in {domain}. Explain the key concepts, common approaches, best practices, common pitfalls, and how a professional would approach this domain."
- Write this response verbatim — this IS the baseline
- Be honest and thorough — a weak baseline makes the gap analysis meaningless
- Adapt depth to creator profile:
- developer → include code patterns, tooling, debugging approaches
- prompt-engineer → include cognitive patterns, prompt structures
- domain-expert → include what Claude ADDS beyond their existing knowledge
- marketer → include conversion patterns, audience psychology
- operator → include automation, monitoring, scaling patterns
- agency → include multi-client patterns, customization
- hybrid → balanced across all dimensions
Output section: ## 1. Baseline — What Claude Knows
Quality gates:
- 300-600 words. Shorter → domain may be too narrow. Longer → consider decomposing.
- Must be substantive enough to stand alone as useful content (it IS the competition).
- Rate the baseline: Strong (80%+ coverage) / Moderate (50-80%) / Weak (<50%).
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.
- 2mo ago First seen · 306 lines · 0 tokens per session scan A 0ed3fe3c0c90
scout-agent is an agent published in the GitHub repository myclaude-sh/myclaude-creator-engine (25 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,056 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 2026-08-30.
scout-agent compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| scout-agentmyclaude-sh/myclaude-creator-engine | Agent | 25 | 2d ago | MIT | A | 0 | Claude Code |
| deep-research-patcherqf-studio/navigator | Agent | 355 | yesterday | MIT | A | 55 | Claude Code |
| go-experttravisjneuman/.claude | Agent | 107 | yesterday | MIT | A | 69 | Claude Code |
| product-analytics-specialisttravisjneuman/.claude | Agent | 107 | yesterday | MIT | A | 80 | Claude Code |
| migration-specialisttravisjneuman/.claude | Agent | 107 | yesterday | MIT | A | 67 | Claude Code |
| monetization-experttravisjneuman/.claude | Agent | 107 | yesterday | MIT | A | 18 | Claude Code |
| CodeQL Permissions Auditordryvist/claude-code-plugins | Agent | 3 | today | Apache-2.0 | A | 12 | Claude Code |