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 catlog22/maestro-flow --skill maestro-learngit clone --depth 1 https://github.com/catlog22/maestro-flowWrote 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/catlog22/maestro-flow/maestro-learn)<a href="https://agentmods.dev/skills/catlog22/maestro-flow/maestro-learn"><img src="https://agentmods.dev/badge/skills/catlog22/maestro-flow/maestro-learn/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/catlog22/maestro-flow/maestro-learn"><img src="https://agentmods.dev/badge/skills/catlog22/maestro-flow/maestro-learn.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 | $0.00055 | $0.06940 |
| Opus 5 | $0.00028 | $0.03470 |
| Sonnet 5 | $0.00011 | $0.01388 |
| Haiku 4.5 | $0.00006 | $0.00694 |
Grade A, and why
maestro-learn 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 2d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 2d ago Changed 74e1de89946a
- 3d ago Changed d10d95a8df68
- 5d ago First seen · 641 lines · 55 tokens per session scan A 6c06419b461b
maestro-learn is a skill published in the GitHub repository catlog22/maestro-flow (546 stars, last pushed 3d ago), with no licence file. It adds 55 tokens to every session and 6,940 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 2026-09-03.
Other skills, from other repositories
vault-review
Daily knowledge review — surface the notes the user is forgetting (FSRS memory decay) and the weak spots in their vault (gaps), then propose 2-3 concrete things to revisit or connect. Use when the user asks "what should I review", "what am I forgetting", or wants a knowledge check-in.
code_explorer
Explores the repository to locate primary source files, coupled UI components, and test files for bug reports or feature requests.
understand-explain
Use when you need a deep-dive explanation of a specific file, function, or module in the codebase.
get-rep-call-feedback
Use when the user wants evidence-backed coaching for one rep's calls, especially by comparing the rep with peer examples to identify repeatable best practices, specific upgrade moments, and practical next-call language.
tutorial
Interactive tutorial teaching Ouroboros hands-on.
gemini-delegation
Delegates tasks to Gemini CLI implementing delegation-core for Google's models. Use when delegation-core selects Gemini or 1M+ token context is needed.