Edge Copy setup link
Skill evidence / pipefy-automations
Skill profile

pipefy-automations

Use this skill when the user wants to create.

What this skill does for you

Use this skill when the user wants to create, read, update, or delete traditional automations (if/then rules) or AI automations (prompt-driven). Covers 16 MCP tools. For AI agents (conversational), see skills/ai-agents/.

Quoted from the skill description in the pinned source

Who made it

Publisherpipefy
Repositoryai-toolkit
Installs352as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the pipefy-automations skill from pipefy/ai-toolkit.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 3442f0c82022c32b81634873b0ccd6cab64723b1. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 3442f0c82022c32b81634873b0ccd6cab64723b1. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 3442f0c82022c32b81634873b0ccd6cab64723b1. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/pipefy/ai-toolkit
Pinned skill file
View source at revision
Revision
3442f0c82022c32b81634873b0ccd6cab64723b1
Package hash
sha256:d906ded733d41e473c51a0ad6668111f31c7e004f82013d4ea4077c53fcd8e6c
Licence
Apache-2.0