Skillget

agenticflow-skill

mcp
Security Audit
Fail
Health Warn
  • No license — Repository has no license file
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 10 GitHub stars
Code Fail
  • rm -rf — Recursive force deletion command in .github/workflows/sync-skills.yml
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This MCP server and accompanying CLI connect AI coding assistants (like Claude, Cursor, and Gemini) to the AgenticFlow platform. It allows developers to build multi-agent systems, automate workflows, and integrate with over 2,500 external services directly from their development environment.

Security Assessment
Overall Risk: Medium. The tool explicitly handles highly sensitive information. It requires an API key (saved to `~/.agenticflow/auth.json`) and relies on project-level environment variables to interact with external platforms like Slack, Google, and Notion. While no hardcoded secrets were found in the code, there is a failed check for a recursive force deletion command (`rm -rf`) inside a GitHub Actions workflow. This script is typically restricted to repository maintenance, but it signals a need for caution. Additionally, the tool facilitates executing shell commands (`af` CLI) and making external network requests to the AgenticFlow API and third-party integrations. No dangerous system-level permissions were requested by the tool itself.

Quality Assessment
The project is actively maintained, evidenced by a recent push made just today. The README is highly detailed and provides clear installation instructions. However, the automated scan flagged the repository for having no actual license file, directly contradicting the MIT badge shown in the documentation. This discrepancy means the legal usage terms are technically unresolved. Community trust is currently minimal, with only 10 GitHub stars, which is expected for a niche or early-stage tool.

Verdict
Use with caution. Ensure you securely manage your API keys and be aware that the tool makes external network requests and executes shell commands.
SUMMARY

Claude skill for building AgenticFlow automation workflows with 2,500+ service integrations. Works with Claude Code and Claude.ai.

README.md

AgenticFlow AI Toolkit

Connect your AI tools to the AgenticFlow platform.

The toolkit gives your agent (Claude Code, OpenAI Codex, Cursor, Gemini CLI, …) access to AgenticFlow: build AI agents, deploy multi-agent workforces, inspect and attach MCP tool providers, and automate operations via the af CLI.

License: MIT

Install

  • Claude Code — run these in a chat:

    /plugin marketplace add PixelML/agenticflow-skill
/plugin install agenticflow-plugin@agenticflow-ai-toolkit

  • Cursor — install from the Cursor Marketplace (search "AgenticFlow").

  • Gemini CLI — run:

    gemini extensions install https://github.com/PixelML/agenticflow-skill

  • OpenAI Codex CLI — in Codex, run /plugins, search AgenticFlow, and select Add to Codex.

  • VS Code / other — open the Command Palette and run Chat: Install Plugin From Source, then paste:

    https://github.com/PixelML/agenticflow-skill

Prerequisites

The skills assume the af CLI is installed:

# Quick try (no install)
npx @pixelml/agenticflow-cli bootstrap --json

# Global install (recommended for daily use)
npm install -g @pixelml/agenticflow-cli

Requires Node.js 18+.

Get authenticated

  1. Get an API key. Sign in at app.agenticflow.ai → Settings → API Keys → Create key. Copy the a9w_... token.
  2. Link the CLI. Either run af login (interactive — prompts for API key, workspace ID, and project ID; saves to ~/.agenticflow/auth.json) OR export env vars in your shell:
    export AGENTICFLOW_API_KEY=a9w_xxxxx
export AGENTICFLOW_WORKSPACE_ID=<your-workspace-uuid>
export AGENTICFLOW_PROJECT_ID=<your-project-ulid>
    Use env vars for CI/CD; af login for a dev machine.
  3. Verify. Run af doctor --json --strict — should exit 0 with health: true. If it fails, the hint in the error envelope will tell you exactly what to fix.
  4. Orient. Run af bootstrap --json — this is always the first command of every session. It returns auth, agents, workforces, blueprints, playbooks, and a commands cheat-sheet in one call.

What you get

Three flagship skills auto-route based on your prompt:

Skill When it fires What it covers
agenticflow-workforce "team", "multi-agent", "pipeline", blueprint names (dev-shop, marketing-agency, amazon-seller, …) af workforce *, blueprint decisions, graph wiring, publish + public URL
agenticflow-agent "create/build an agent", "support bot", "customer assistant", "system prompt" af agent *, --patch iteration pattern, schema drilldown
agenticflow-mcp "mcp", "attach tools", provider names (google sheets/docs, notion, slack, gmail, etc.) af mcp-clients inspect/list/get, Pipedream vs Composio write-safety, attach shape

Long-form reference material stays in reference/ — CLI setup, business packs, troubleshooting, glossary.

Auto-updates

Plugins update automatically as new capabilities land in the CLI. Major surface changes (e.g. the workforce deploy in v1.6) propagate to the skills once the plugin is refreshed.

Other install methods

If your platform doesn't support plugins, install the skills directly from this repo or use the af CLI standalone:

The standalone MCP server (agenticflow-mcp repo) significantly lags the CLI and is not recommended. Use the af CLI (via npm install -g @pixelml/agenticflow-cli) instead.

Contributing

We don't accept external pull requests. Any pull requests will be automatically closed.

PixelML employees: open pull requests against the upstream source repository rather than this mirror.

License

MIT

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