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

pipefy-portal-setup

Use this skill when the user wants to list.

What this skill does for you

Use this skill when the user wants to list, create, or configure Pipefy portals (main hub, pages, page elements, sub-portals, publish/unpublish). Covers 20 MCP tools on Interfaces + internal_api. Not for pipes/cards.

Quoted from the skill description in the pinned source

Who made it

Publisherpipefy
Repositoryai-toolkit
Installs353as 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-portal-setup 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
sha256:6156901a9878c2505ee41b76f8da2331a0926e0a76f4615aa2b55b1a92140205
Licence
Apache-2.0