blackbox-state
Skill0 starsChanged 18 days agoNo licenceView on GitHub
内部実装を見ず、振る舞いが過去の履歴に依存する対象からテストケースを機械的に導くブラックボックス技法群。 test-catalog の手法カタログの一部。状態遷移テスト(State Transition、0-switch/N-switch、禁止仕様からの許可/禁止列導出)、 CRUD/エンティティライフサイクルテスト(CRUD/Entity Lifecycle、操作間の整合、削除後の参照) を検証したい、または割り当てたいときに使う。通常は test-catalog スキルの索引経由で 手法が選定された後にこのスキルを直接参照する。
In this repository63 other files it gives its agents.
- ai-nondeterministicSkill
- blackbox-cause-effectSkill
- blackbox-coveringSkill
- blackbox-partitionSkill
- commit-flowSkill
- diff-reviewSkill
- experience-checklistSkill
- experience-exploratorySkill
- experience-scenarioSkill
- flakiness-concurrencySkill
- flakiness-externalSkill
- flakiness-valueSkill
- formal-verificationSkill
- generative-fuzzingSkill
- generative-propertySkill
- gh-ci-investigateSkill
- good-test-principlesSkill
- ledger-flowSkill
- levels-operationalSkill
- levels-serviceSkill
- levelsSkill
- levels-systemSkill
- loopeng-extractSkill
- loopeng-formalizeSkill
- loopeng-gherkinSkill
- loop-engineeringSkill
- loopeng-modelcheckSkill
- loopeng-smtSkill
- loopeng-tracecheckSkill
- micro-commitSkill
- mutation-testingSkill
- nonfunctional-attributesSkill
- nonfunctional-perfSkill
- nonfunctional-resilienceSkill
- oracle-differentialSkill
- oracle-model-basedSkill
- oracle-past-outputSkill
- oracle-relationalSkill
- pr-createSkill
- process-staticSkill
- rebase-flowSkill
- reset-flowSkill
- review-feedbackSkill
- strategy-allocationSkill
- strategy-operationsSkill
- tdd-cycleSkill
- tdd-green-strategySkill
- test-catalogSkill
- test-design-qualitySkill
- test-designSkill
- test-doublesSkill
- test-extractSkill
- testing-principlesSkill
- test-structure-anatomySkill
- test-structure-lifecycleSkill
- test-target-designSkill
- test-targetedSkill
- test-verifySkill
- using-hymmeSkill
- verifiabilitySkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “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.
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.

