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/lawwu/agentic-ml-pluginWrote 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/plugins/lawwu/agentic-ml-plugin/agentic-ml)<a href="https://agentmods.dev/plugins/lawwu/agentic-ml-plugin/agentic-ml"><img src="https://agentmods.dev/badge/plugins/lawwu/agentic-ml-plugin/agentic-ml/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/plugins/lawwu/agentic-ml-plugin/agentic-ml"><img src="https://agentmods.dev/badge/plugins/lawwu/agentic-ml-plugin/agentic-ml.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
agentic-ml 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 1mo 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 it installs
The manifest is a name and a version. 15 skills travel with it, and installing the plugin installs all of them — 1,409 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill babysit-training A 82 tokens
- Skill check-dataset-quality A 107 tokens
- Skill check-failed-run A 81 tokens
- Skill recommend-new-approaches A 134 tokens
- Skill benchmark-e2e A 94 tokens
- Skill build-baseline A 87 tokens
- Skill check-data-pipeline A 122 tokens
- Skill check-eval A 70 tokens
- Skill explain-model A 83 tokens
- Skill orchestrate-e2e A 131 tokens
- Skill train-model A 61 tokens
- Skill demonstrate-value A 59 tokens
- Skill feature-engineer A 107 tokens
- Skill plan-experiment A 86 tokens
- Skill review-target A 105 tokens
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.
- 1mo ago First seen · 9 lines scan A b77127ba1651
agentic-ml is a plugin published in the GitHub repository lawwu/agentic-ml-plugin (3 stars, last pushed 7mo ago), with no licence file. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-08-31.
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