harness-init
Skill2 starsChanged 4 months agoMITView on GitHub
Prepares the harness for a large or multi-session feature, derived from its approved spec (Anthropic's initializer pattern).
- Reads credentials
12 other projects use a version of this.
Adopted by
Most recently taken up by
- anotherben/claude-harnesstheir own version, first seen Nov 8, 2026
- anyoneanderson/agent-skillstheir own version, first seen Oct 13, 2026
- foryouself83/harness-tiertheir own version, first seen Oct 13, 2026
- chenklein26-maker/Harness-Startertheir own version, first seen Sep 24, 2026
- k1ein-chen/Harness-Startertheir own version, first seen Sep 24, 2026
- cristian-robert/claude-code-harnesstheir own version, first seen Sep 15, 2026
Used with
Projects with it also use handover.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
anujdutt9Skillhandover
Also in 3 projects that use this
Other versions12 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 12
- tech-leads-club/harness-toolkit★ 301same name
- chenklein26-maker/Harness-Starter★ 119same name
- k1ein-chen/Harness-Starter★ 119same name
- oeftimie/vv-claude-harness★ 20same name
- foryouself83/harness-tier★ 10same name
- anotherben/claude-harness★ 7same name
- SilentDawnAndDarkCrow/claude-code-maestro★ 4same name
- anyoneanderson/agent-skills★ 3same name
- cristian-robert/claude-code-harness★ 2same name
- steptian/skills★ 1same name
2 more not listed
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 repository15 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- as-is-learnSkill
- as-isSkill
- as-is-syncSkill
- clarifySkill
- consistencySkill
- context-reportSkill
- convergeSkill
- implement-taskSkill
- orchestrateSkill
- repo-addSkill
- repo-mapSkill
- spec-createSkill
- spec-reviewSkill
- system-mapSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
1
Distinctive
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 18
Test it from scratch before signing off on it.
“Common” is measured: kept by at least 6 in 10 of the 6 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.
Files
You are the initializer agent. From the spec $ARGUMENTS (it must be in "approved" state with the F5 design complete):
- harness/feature_list.json — expand the spec into verifiable end-to-end features, ALL with "passes": false. Format per entry: {"category", "description", "steps": [...], "passes": false}. Each Gherkin acceptance criterion in the spec generates at least one entry.
- harness/init.sh — idempotent script that leaves the environment running: dependencies, variables (from .env.example, never real secrets), database/migrations, development server, and a final smoke test. Test it from scratch before signing off on it.
- harness/claude-progress.md — initialize it with the current state and the session protocol.
- Initial commit: "chore(harness): initialize harness for
<feature>".
Golden rule: the next agent must be able to start productively in less than 2 minutes reading only progress + git log + feature_list.
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.

