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 MicrosoftDocs/Agent-Skills --skill azure-machine-learninggit clone --depth 1 https://github.com/MicrosoftDocs/Agent-SkillsWrote 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/microsoftdocs/agent-skills/azure-machine-learning)<a href="https://agentmods.dev/skills/microsoftdocs/agent-skills/azure-machine-learning"><img src="https://agentmods.dev/badge/skills/microsoftdocs/agent-skills/azure-machine-learning/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/microsoftdocs/agent-skills/azure-machine-learning"><img src="https://agentmods.dev/badge/skills/microsoftdocs/agent-skills/azure-machine-learning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 149 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00128 | $0.17284 |
| Opus 5.5 | $0.00051 | $0.06914 |
| Sonnet 5.5 | $0.00026 | $0.03457 |
| Haiku 4.5 | $0.00013 | $0.01728 |
Grade A, and why
azure-machine-learning 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 today.
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 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.
- today Changed · -1 tokens per session a2ca56ea83c3
- 14d ago Changed d9fa389b4323
- 21d ago Changed · +11 tokens per session 36fa874ced43
- 27d ago Changed · -2 lines · -13 tokens per session 7e884a8deaf6
- 1mo ago Changed · -1 lines · +4 tokens per session 8ef8189d5f05
- 1mo ago Changed · +1 tokens per session 4f17d08f4b55
- 1mo ago First seen · 484 lines · 126 tokens per session scan A 7e389b96f93d
azure-machine-learning is a skill published in the GitHub repository MicrosoftDocs/Agent-Skills (787 stars, last pushed yesterday), licensed CC-BY-4.0. It adds 128 tokens to every session and 17,284 once invoked, about $0.0005 per session on Opus 5.5. 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.
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