recent
Skill0 starsChanged 4 months agoMITView on GitHub
Find recently active Agent-OS work when the user asks what changed or what they worked on. Prefer receipts and artifact metadata, work without Git, and use mtimes only as a fallback.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Emin4ik/StateNesttheir own version, first seen Oct 20, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- Emin4ik/StateNest★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository35 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- briefSkill
- closeoutSkill
- decisionSkill
- deskSkill
- doctorSkill
- editorSkill
- grillSkill
- handoffSkill
- morningSkill
- openSkill
- researchSkill
- rfcSkill
- setupSkill
- shapeSkill
- specSkill
- weekly-reviewSkill
- briefSkill
- closeoutSkill
- decisionSkill
- deskSkill
- doctorSkill
- editorSkill
- grillSkill
- handoffSkill
- morningSkill
- openSkill
- recentSkill
- researchSkill
- rfcSkill
- setupSkill
- shapeSkill
- specSkill
- weekly-reviewSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Read workstream-transition receipts in the window and group them by workstream.
- Very specific: line 11
Add workstreams whose updated_at metadata is in the window but lack a matching transition receipt.
- Distinctive: line 12
If metadata is absent, use filesystem mtimes and label them as weak evidence.
- Distinctive: line 13
If Git exists, use it only to enrich—not gate—the result.
≈ “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
Recent work
Accept a window such as 3d, 7d, or 2w; default to seven days.
- Read workstream-transition receipts in the window and group them by workstream.
- Add workstreams whose
updated_atmetadata is in the window but lack a matching transition receipt; label the missing evidence. Add ordinary artifacts from their ownupdated_atmetadata without expecting document receipts. - If metadata is absent, use filesystem mtimes and label them as weak evidence.
- If Git exists, use it only to enrich—not gate—the result.
- Return a compact, deduplicated list with relative path, transition, time, current status, and next action where available.
Exclude generated adapters, caches, raw local state, and receipt noise from the primary list.
Does it work?
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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- 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.