github-today
Skill2 starsChanged 43 days agoMITView on GitHub
Account-wide briefing of what needs attention on GitHub: review requests, open PRs, assigned issues, failed automated builds, dependency updates, and stale work. Use when the user asks what needs attention, what's waiting, or "GitHub today".
In this repository5 other files it gives its agents.
- github-checkupSkill
- github-cleanupSkill
- github-fixSkill
- github-polishSkill
- github-recapSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 34
Do not invent urgency or deadlines.
- Distinctive: line 41
If permissions block a signal, say so honestly (see snapshot warnings).
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
github-today
Give an actionable briefing of what needs the user's attention — without inventing urgency.
Preconditions
gh auth statussucceeds.github-agentis on PATH.
Workflow
github-agent today
github-agent today --jsonOutput adaptation
- One outstanding item → simple direct answer.
- Many items → prioritize review requests and failed builds before routine dependency noise.
- Beginner accounts → plain language ("Your automated build is failing") then optional technical detail.
Rules
- READ ONLY.
- Do not invent urgency or deadlines.
- Separate clearly:
- review requests
- the user's open PRs
- assigned issues
- failed automated builds
- dependency update PRs
- If permissions block a signal, say so honestly (see snapshot warnings).
- No mutations.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

