Edge Copy setup link
Skill evidence / pipefy-members-email-webhooks
Skill profile

pipefy-members-email-webhooks

Use this skill when the user wants to manage pipe membership.

What this skill does for you

Use this skill when the user wants to manage pipe membership, send or read card inbox emails, use email templates, or manage webhooks. Covers 12 MCP tools.

Quoted from the skill description in the pinned source

Who made it

Publisherpipefy
Repositoryai-toolkit
Installs348as 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-members-email-webhooks 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
sha256:76bde633a0dfa1d75d66a8cb63a8319abeb5c1a77671da6cb82c04691b1a9b3c
Licence
Apache-2.0