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/ArieGoldkin/claude-forgeWrote 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/ariegoldkin/claude-forge/ai-toolkit)<a href="https://agentmods.dev/plugins/ariegoldkin/claude-forge/ai-toolkit"><img src="https://agentmods.dev/badge/plugins/ariegoldkin/claude-forge/ai-toolkit/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/ariegoldkin/claude-forge/ai-toolkit"><img src="https://agentmods.dev/badge/plugins/ariegoldkin/claude-forge/ai-toolkit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
atk 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.
What it actually says
{
"name": "atk",
"version": "2.0.13",
"description": "AI/LLM development toolkit - 16 skills, 1 agent, 25 commands for AI-native development patterns",
"author": {
"name": "Arie Goldkin",
"email": "[email protected]"
},
"homepage": "https://github.com/ArieGoldkin/claude-forge/blob/main/plugins/ai-toolkit/README.md",
"repository": "https://github.com/ArieGoldkin/claude-forge",
"license": "MIT",
"dependencies": [
"ctk"
],
"keywords": [
"ai",
"llm",
"rag",
"embeddings",
"langgraph",
"prompt-engineering",
"ml"
]
}
What it installs
The manifest is a name and a version. 16 skills, 25 commands, 1 agent, 1 hook travel with it, and installing the plugin installs all of them — 2,493 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill coaching-conversation-patterns A 41 tokens
- Skill langfuse-observability A 34 tokens
- Skill pgvector-search A 32 tokens
- Skill prompt-caching A 37 tokens
- Skill rag-retrieval A 96 tokens
- Skill ai-native-development A 108 tokens
- Skill function-calling A 104 tokens
- Skill multi-agent-orchestration A 26 tokens
- Skill notebooklm A 52 tokens
- Skill embeddings A 95 tokens
- Skill semantic-caching A 25 tokens
- Skill golden-dataset A 25 tokens
- Skill langgraph A 96 tokens
- Skill llm-patterns A 119 tokens
- Skill ollama-local C 40 tokens
- Skill streaming-api-patterns A 30 tokens
- Command notebooklm A 72 tokens
- Command coaching-conversation-patterns A 79 tokens
- Command ai-native-development A 75 tokens
- Command golden-dataset-management A 60 tokens
- Command golden-dataset-validation A 55 tokens
- Command langfuse-observability A 78 tokens
- Command multi-agent-orchestration A 61 tokens
- Command pgvector-search A 71 tokens
- Command embeddings A 54 tokens
- Command function-calling A 60 tokens
- Command golden-dataset-curation A 55 tokens
- Command langgraph-checkpoints A 50 tokens
- Command langgraph-human-in-loop A 50 tokens
- Command langgraph-parallel A 53 tokens
- Command langgraph-routing A 47 tokens
- Command langgraph-state A 55 tokens
- Command langgraph-supervisor A 52 tokens
- Command llm-evaluation A 61 tokens
- Command llm-streaming A 54 tokens
- Command llm-testing A 59 tokens
- Command ollama-local A 57 tokens
- Command prompt-caching A 54 tokens
- Command rag-retrieval A 58 tokens
- Command semantic-caching A 56 tokens
- Command streaming-api-patterns A 62 tokens
- Agent ai-ml-engineer A 45 tokens
- Hook SessionStart A not measured
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 · 25 lines scan A ff25f128d55a
atk is a plugin published in the GitHub repository ArieGoldkin/claude-forge (7 stars, last pushed 2mo 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 2026-08-31.
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