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/latestaiagents/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/plugins/latestaiagents/agent-skills/evals)<a href="https://agentmods.dev/plugins/latestaiagents/agent-skills/evals"><img src="https://agentmods.dev/badge/plugins/latestaiagents/agent-skills/evals/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/latestaiagents/agent-skills/evals"><img src="https://agentmods.dev/badge/plugins/latestaiagents/agent-skills/evals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
evals 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 6d 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.
What it actually says
{
"name": "evals",
"source": "./skills/evals",
"description": "Measure and improve LLM quality. LLM-as-judge, eval dataset design, regression evals, golden set maintenance, cost/quality tradeoff. 5 skills for serious eval engineering.",
"version": "1.0.0",
"author": {
"name": "latestaiagents"
},
"homepage": "https://github.com/latestaiagents/agent-skills",
"repository": "https://github.com/latestaiagents/agent-skills",
"license": "MIT",
"keywords": [
"evals",
"llm-judge",
"regression-testing",
"golden-set",
"benchmark",
"cost-quality"
],
"category": "Quality Assurance"
}What it installs
The manifest is a name and a version. 5 skills travel with it, and installing the plugin installs all of them — 482 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What ships with it
2 files beside marketplace.json#evals 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.
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.
- 6d ago First seen · 21 lines scan A 4fdc91008d79
evals is a plugin published in the GitHub repository latestaiagents/agent-skills (5 stars, last pushed 4mo ago), licensed MIT. 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 2026-09-03.
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