test
Skill5 starsChanged 4 months agoMITView on GitHub
Generate comprehensive tests for a file or module. Reads existing test patterns and matches the project's style. Covers happy paths, edge cases, error conditions, and boundary values.
179 other projects use a version of this.
Adopted by
Most recently taken up by
- tyrantpiper/travel-pwatheir own version, first seen Nov 8, 2026
- phuthuycoding/kanban-flowtheir own version, first seen Nov 8, 2026
- pche-broken-artist/forge-of-thoughttheir own version, first seen Nov 8, 2026
- PMDevSolutions/Flaviantheir own version, first seen Nov 8, 2026
- domengabrovsek/agent-configtheir own version, first seen Nov 8, 2026
- domengabrovsek/claudetheir own version, first seen Nov 8, 2026
Used with
Projects with it also use agent-context-isolation, agentica-infrastructure and 10 more.
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.
parcadeiSkillagent-context-isolation
Agent Context Isolation
Also in 3 projects that use this
- parcadeiSkill
agentica-infrastructure
Reference guide for Agentica multi-agent infrastructure APIs
Also in 3 projects that use this
- +10 more from parcadei
Other versions179 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 179
- react/react★ 252ksame name
- facebook/react★ 252ksame name
- apache/skywalking★ 25ksame name
- livewire/livewire★ 24ksame name
- NVIDIA/TensorRT★ 13ksame name
- FalkorDB/FalkorDB★ 10ksame name
- FastLED/FastLED★ 7.5ksame name
- fleetdm/fleet★ 7.2ksame name
- parcadei/Continuous-Claude★ 3.9ksame name
- parcadei/Continuous-Claude-v2★ 3.9ksame name
169 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 repository17 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- openclaw/CLAUDE.mdCLAUDE.md
- addSkill
- audit-rulesSkill
- bootstrapSkill
- claude-mdSkill
- eval-setSkill
- messagingSkill
- openclaw-auditSkill
- perfSkill
- refreshSkill
- reviewSkill
- security-auditSkill
- statusSkill
- user-docsSkill
- vuln-huntSkill
- vuln-reportSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 154 edited versions we read keep these.
3
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 20
Read existing tests to match the project's style
- Distinctive: line 22
Write the test file(s)
- Distinctive: line 23
Run them and fix any test-level issues
“Common” is measured: kept by at least 6 in 10 of the 154 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
Test Generation
Generate tests using the Clawness test-writer agent.
Steps
- Target — If $ARGUMENTS specifies a file or function, test that. Otherwise, find recently changed files without corresponding tests.
- Delegate to test-writer — Send the target code to the
test-writersub-agent. It will:- Read existing tests to match the project's style
- Plan test cases covering happy path, edge cases, errors, boundaries
- Write the test file(s)
- Run them and fix any test-level issues
- Report — Show what was tested, any bugs discovered by the tests, and the test file location.
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.