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 myclaude-sh/myclaude-creator-engine --skill mapgit 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/skills/myclaude-sh/myclaude-creator-engine/map)<a href="https://agentmods.dev/skills/myclaude-sh/myclaude-creator-engine/map"><img src="https://agentmods.dev/badge/skills/myclaude-sh/myclaude-creator-engine/map/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/myclaude-sh/myclaude-creator-engine/map"><img src="https://agentmods.dev/badge/skills/myclaude-sh/myclaude-creator-engine/map.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 | $0.00051 | $0.01272 |
| Opus 5 | $0.00026 | $0.00636 |
| Sonnet 5 | $0.00010 | $0.00254 |
| Haiku 4.5 | $0.00005 | $0.00127 |
Grade A, and why
map 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Mapper
Extract domain expertise from conversation and structure it for product creation.
When to use: Before /create for complex products, when creator has deep domain knowledge to encode, or when exploring what to build.
When NOT to use: For simple products where the creator already knows exactly what to build. Skip to /create instead.
Activation Protocol
- Shared preamble: Load
references/quality/activation-preamble.md— context assembly, persona adaptation, deterministic routing rules. - Read
creator.yaml— load creator expertise domains and technical level. If missing → "Creator profile not found. Run/onboardfirst." and stop. - If
$ARGUMENTSprovided, use as domain topic seed - If previous
domain-map.mdexists in workspace, load as context - Begin structured knowledge extraction
- Load voice identity: Load
references/quality/engine-voice-core.md. Every user-facing line in this skill honors the ✦ signature, three tones, and six anti-patterns. 5b. Load UX vocabulary: Loadreferences/ux-vocabulary.md— translate all internal terms before creator-facing output. 5c. Load proactives: Loadreferences/engine-proactive.md— wire #1 (pipeline guidance: after map, suggest /create with domain context).
Core Instructions
KNOWLEDGE EXTRACTION FLOW
Ask questions in 3 phases. Adapt depth to creator's technical level (from creator.yaml).
Phase 1 — Domain Boundaries (3 questions)
1. What specific domain does this product operate in?
(e.g., "code review for React apps", "database migration safety")
2. Who is the target user? What do they know? What do they struggle with?
3. What existing approaches/tools address this? What's missing?
Phase 2 — Expertise Mining (4 questions)
4. What are the top 5 things someone MUST know in this domain?
(The non-obvious knowledge that separates experts from beginners)
5. What are the most common mistakes/anti-patterns in this domain?
(Things that seem right but cause problems)
6. What decision framework do experts use?
(How do they decide between options?)
7. What terminology is essential?
(Terms the product must use correctly)
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 · 159 lines · 51 tokens per session scan A 4fc6b4e2c9be
map is a skill published in the GitHub repository myclaude-sh/myclaude-creator-engine (25 stars, last pushed 5mo ago), licensed MIT. It adds 51 tokens to every session and 1,272 once invoked, about $0.0003 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.
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