pipefy-pipes-and-cards

Use this skill when the user wants to read.

What this skill does for you

Use this skill when the user wants to read, create, update, or delete pipes, phases, phase fields, labels, cards, comments, or field conditions. Covers 40 MCP tools for the core pipe and card lifecycle. Use the seed-pipe-across-phases workflow when populating empty phases for demos or QA.

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-pipes-and-cards 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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: sha256:587bc4d49f8bcbc7ff9b04fc9a31a0172b08790991e908365b4ddcccfa6705d8
Licence: Apache-2.0