Edge Copy setup link
Skill evidence / cron-schedule-planner
Skill profile

cron-schedule-planner

Builds an overview of GitHub Actions `schedule` cron expressions across multiple repositories and...

What this skill does for you

Builds an overview of GitHub Actions `schedule` cron expressions across multiple repositories and helps spread CPU-intensive jobs (Docker Compose, Testcontainers, Kind/k3s, matrix builds) into less contended slots. Use when the user asks 'when do my cron actions run?', 'do my scheduled builds collide?', 'when should the Testcontainers build run?', or wants a cron schedule overview/distribution report across repos. Scans via `gh` (no local checkouts required) or local checkouts, converts UTC to a local timezone, classifies job intensity, and writes a Markdown report with an hourly histogram, collisions and concrete cron redistribution suggestions.

Quoted from the skill description in the pinned source

Who made it

Publisherdboeckli
Repositoryai-agent-skills
Installs644as 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 cron-schedule-planner skill from dboeckli/ai-agent-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.

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: c7d9ba27795beef97e1752a5df8f04558ecf169b. 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: c7d9ba27795beef97e1752a5df8f04558ecf169b. 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: c7d9ba27795beef97e1752a5df8f04558ecf169b. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/dboeckli/ai-agent-skills
Pinned skill file
View source at revision
Revision
c7d9ba27795beef97e1752a5df8f04558ecf169b
Package hash
sha256:fb56d8bc49c03aa687da0b731ebfd63f35b82c7f8b3802c4065a32c1129dcf84
Licence
MIT