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.
/plugin marketplace add humanlayer/skillsnpx agentmods add plugins/humanlayer/skills/marketplacegit clone --depth 1 https://github.com/humanlayer/skillsGrade A, and why
skills 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json",
"name": "skills",
"owner": {
"name": "humanlayer",
"email": "[email protected]"
},
"metadata": {
"description": "Claude Code skills from HumanLayer",
"version": "1.0.0"
},
"plugins": [
{
"name": "improve-claude-md",
"description": "Rewrite a CLAUDE.md file using <important if> blocks to improve instruction adherence",
"version": "1.0.0",
"author": {
"name": "humanlayer",
"email": "[email protected]"
},
"source": "./plugins/improve-claude-md",
"category": "productivity",
"keywords": ["claude-md", "instructions", "important-if", "claude-code"]
},
{
"name": "narrow-react-prop-types",
"description": "Narrow React component prop types to match live code paths",
"version": "1.0.0",
"author": {
"name": "humanlayer",
"email": "[email protected]"
},
"source": "./plugins/narrow-react-prop-types",
"category": "productivity",
"keywords": ["react", "typescript", "props", "components", "claude-code"]
},
{
"name": "build-iterated-agentic-loop",
"description": "Build a repo-local skill plus an iterated coding-agent workflow, prompt, and memory file",
"version": "1.0.0",
"author": {
"name": "humanlayer",
"email": "[email protected]"
},
"source": "./plugins/build-iterated-agentic-loop",
"category": "productivity",
"keywords": ["iterated-agentic-loop", "coding-agents", "github-actions", "skills", "claude-code"]
},
{
"name": "design-control-loop",
"description": "Interview the user to design an agentic control loop (sensor, controller, actuator under disturbances), then build it as locally-runnable components plus a scheduled coding-agent workflow",
"version": "1.0.0",
"author": {
"name": "humanlayer",
"emailWhat 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.
- 2d ago First seen · 75 lines scan A f732b8154f3f
skills is a plugin published in the GitHub repository humanlayer/skills (615 stars, last pushed 19d 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 2026-08-30.
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