Skill profile

measuring-pmf

Help users objectively assess where their product stands on the PMF spectrum by triangulating...

What this skill does for you

Help users objectively assess where their product stands on the PMF spectrum by triangulating qualitative feedback, quantitative retention benchmarks, and organic growth signals.

Quoted from the skill description in the pinned source

Who made it

Publisherrefoundai

Repositorylenny-skills

Installs322as 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 measuring-pmf skill from refoundai/lenny-skills.

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: 13598cc54e09399bc1bc1398b0fca284110efb2f. 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: 13598cc54e09399bc1bc1398b0fca284110efb2f. 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: 13598cc54e09399bc1bc1398b0fca284110efb2f. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/refoundai/lenny-skills
Pinned skill file: View source at revision
Revision: 13598cc54e09399bc1bc1398b0fca284110efb2f
Package hash: sha256:3cb7a3ae9073d99dc95e3143d7b19db590b7d695487942641d3465fc91020ab3
Licence: MIT