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 agentmods add skills/managedcode/mcaf/mcaf-ml-ai-deliverynpx skills add managedcode/MCAF --skill mcaf-ml-ai-deliverygit clone --depth 1 https://github.com/managedcode/MCAFWhat 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 | $0.00053 | $0.00903 |
| Opus 5 | $0.00026 | $0.00451 |
| Sonnet 5 | $0.00011 | $0.00181 |
| Haiku 4.5 | $0.00005 | $0.00090 |
Grade A, and why
mcaf-ml-ai-delivery 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
Licensed CC-BY-4.0
The repository is licensed CC-BY-4.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/data-exploration.md 410 B
- references/feasibility-studies.md 8.1 KB
- references/ml-ai-projects.md 426 B
- references/ml-fundamentals-checklist.md 2.8 KB
- references/ml-model-checklist.md 16 KB
- references/model-experimentation.md 463 B
- references/responsible-ai.md 388 B
- references/testing-data-science-and-mlops-code.md 3.2 KB
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 First seen · 98 lines · 53 tokens per session scan A d869af1e4df1
mcaf-ml-ai-delivery is a skill published in the GitHub repository managedcode/MCAF (52 stars, last pushed 4d ago), licensed CC-BY-4.0. It adds 53 tokens to every session and 903 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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