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/nimadorostkar/Claude-Skills-collectionWrote 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/nimadorostkar/claude-skills-collection/ai)<a href="https://agentmods.dev/plugins/nimadorostkar/claude-skills-collection/ai"><img src="https://agentmods.dev/badge/plugins/nimadorostkar/claude-skills-collection/ai/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/nimadorostkar/claude-skills-collection/ai"><img src="https://agentmods.dev/badge/plugins/nimadorostkar/claude-skills-collection/ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
ai 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 3d 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": "ai",
"description": "AI & LLM — Prompting, retrieval, evaluation, agents, and the production concerns of shipping a model.",
"source": "./",
"strict": false,
"category": "ai",
"skills": [
"./skills/ai/agent-design",
"./skills/ai/context-engineering",
"./skills/ai/fine-tuning",
"./skills/ai/llm-cost-optimization",
"./skills/ai/llm-evaluation",
"./skills/ai/llm-integration",
"./skills/ai/mcp-server",
"./skills/ai/ml-pipeline",
"./skills/ai/model-selection",
"./skills/ai/prompt-engineering",
"./skills/ai/rag",
"./skills/ai/structured-output"
]
}What it installs
The manifest is a name and a version. 12 skills travel with it, and installing the plugin installs all of them — 1,192 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill agent-design A 102 tokens
- Skill context-engineering A 93 tokens
- Skill fine-tuning A 109 tokens
- Skill llm-cost-optimization A 101 tokens
- Skill llm-evaluation A 106 tokens
- Skill llm-integration A 103 tokens
- Skill mcp-server A 102 tokens
- Skill ml-pipeline A 100 tokens
- Skill prompt-engineering A 87 tokens
- Skill rag A 97 tokens
- Skill structured-output A 90 tokens
- Skill model-selection A 102 tokens
What ships with it
1 file beside marketplace.json#ai 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.
- 3d ago First seen · 21 lines scan A 3f5484cf3547
ai is a plugin published in the GitHub repository nimadorostkar/Claude-Skills-collection (29 stars, last pushed 2d 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 2026-10-11.
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