time-energy-management

Help users master their personal output by shifting from reactive scheduling to intentional energy...

What this skill does for you

Help users master their personal output by shifting from reactive scheduling to intentional energy management, internal trigger mastery, and proactive boundary setting.

Quoted from the skill description in the pinned source

Who made it

Publisherrefoundai

Repositorylenny-skills

Installs363as 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 time-energy-management 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:de5705d99ded70e66a1aef4385c279d2d22ac9b1f2bb47911fd6b4d178a7de2f
Licence: MIT