repo-intake
Skill1 starsChanged 3 months agoLicence not identifiedView on GitHub
Get a picked-up repo ready to work in. Unfamiliar repo: ask intent, map it by reading, write the canonical AGENTS.md, wire the vault, propose a first task. Already-documented repo with no vault space: wire-only — connect it and leave the docs alone. Use when picking up a codebase: "onboard me", "get me set up on this repo", "I cloned/forked this", "map this repo", "wire this into the vault" — or proactively when a repo has no AGENTS.md/CLAUDE.md and real work starts. Check ownership first: on a repo the user doesn't own, intake is vault-first and writes nothing into tracked files. NOT memory refresh (that's memory-checkpoint) or greenfield scaffolding (/scaffold); documented AND wired = nothing to do.
- Reads credentials
- Deletes or force-pushes
3 other projects use a version of this.
Adopted by
Most recently taken up by
- hmj1026/dhpktheir own version, first seen Nov 1, 2026
- sd0xdev/sd0x-dev-flowtheir own version, first seen Oct 8, 2026
- sd0xdev/sd0x-harnesstheir own version, first seen Oct 6, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- sd0xdev/sd0x-dev-flow★ 192same name
- sd0xdev/sd0x-harness★ 192same name
- hmj1026/dhpk★ 2same 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 repository5 other files it gives its agents.
- AGENTS.mdAGENTS.md
- defuddleSkill
- graphifySkill
- memory-checkpointSkill
- standupSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 2 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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.