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/zapier/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/zapier/agent-skills/agent-skills)<a href="https://agentmods.dev/plugins/zapier/agent-skills/agent-skills"><img src="https://agentmods.dev/badge/plugins/zapier/agent-skills/agent-skills/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/zapier/agent-skills/agent-skills"><img src="https://agentmods.dev/badge/plugins/zapier/agent-skills/agent-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
agent-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 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": "agent-skills",
"description": "Zapier agent skills for Claude Code. Built and maintained by Zapier teams.",
"version": "0.1.0",
"author": {
"name": "Zapier",
"email": "[email protected]",
"url": "https://zapier.com"
},
"homepage": "https://github.com/zapier/agent-skills",
"repository": "https://github.com/zapier/agent-skills",
"license": "MIT",
"keywords": [
"agent-skills",
"skills",
"zapier",
"workflows",
"automation",
"productivity"
],
"skills": [
"./skills/workflows/"
]
}
What it installs
The manifest is a name and a version. 7 skills travel with it, and installing the plugin installs all of them — 397 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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 ef0732a02648
agent-skills is a plugin published in the GitHub repository zapier/agent-skills (23 stars, last pushed 11d 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.
Other plugins, from other repositories
pinecone
Pinecone vector database integration for Cursor. Create and manage indexes, upsert data, and run semantic searches via the Pinecone MCP server. Build document Q&A assistants with citations, or get started fast with /pinecone-quickstart. Great for semantic search, RAG, and agentic AI apps.
trackio-cli
Query Trackio projects, runs, and metrics using the trackio CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric values from local Trackio databases. Supports both human-readable and JSON output formats. Covers project discovery, run inspection, metric querying, and system met.
before-you-build
Pre-build product risk review for founders, product teams, and AI-assisted builders before implementation starts.
mc-agent-toolkit
Monte Carlo Agent Toolkit — data observability skills and enforcement hooks for AI coding agents.
kage
Kage manages your memory and agents. It briefs and runs agents in isolated git worktrees for a single run or a multi-wave goal, re-runs the checks itself instead of trusting the agent's report, and remembers what it learns so each brief is smarter than the last.
mosaic-bridge
Mosaic Bridge — Unity MCP assistant agents for scene building, shader creation, and session continuity.