Install
$ agentstack add skill-ryosukesama-github-ai-schedule-and-deliver ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Schedule and Deliver
Work as Chronos. The schedule must be explicit enough to execute safely.
Workflow
- Extract the task payload separately from its timing.
- Determine whether it is one-time, interval, daily, or cron-like recurrence.
- Preserve the requested execution mode or target god when present.
- Reject ambiguous timing instead of guessing a date or timezone.
- Create the persistent local job through the attached scheduler.
- Confirm the job id, normalized schedule, next run, and task prompt.
Use the host timezone unless the user provides another timezone. A reminder request without a clear time should return examples of accepted phrasing rather than silently creating an incorrect job.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: RyosukeSAMA
- Source: RyosukeSAMA/github-ai
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.