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generate-model-ready-test-cases-cn

v1.0.0

生成标准化、模型可直接消费的自动化测试用例 JSON 套件。用于 Codex 需要根据需求文档、原型图、页面说明、接口文档、用户故事、缺陷描述或自然语言需求，产出可直接交给其他模型或自动化代理执行的测试用例时；尤其适用于 Web UI、API、端到端流程、回归、冒烟和验收场景。

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by@deathknightorg
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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Benign
high confidence
✓
Purpose & Capability
Name/description ask for generating structured JSON test suites; required files are a schema, a playbook, an agent prompt, and a local JSON validator — all directly relevant. No unrelated env vars, binaries, or installs are requested.
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Instruction Scope
SKILL.md limits actions to reading provided docs, normalizing input, producing JSON, and optionally running the bundled validator on a local file. It instructs use of placeholders for secrets and to disable destructive operations — no instructions to read arbitrary system files, exfiltrate data, or call external endpoints beyond user-provided targets.
✓
Install Mechanism
No install spec or remote downloads. The only executable is a small included Python validator script (reads JSON, validates structure, prints results). No network/remote install behavior is present.
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Credentials
Skill declares no required env vars or credentials. SKILL.md recommends placeholder patterns ({{env...}}, {{secret...}}) but does not require access to real secrets. This is proportionate for generating test-case templates.
✓
Persistence & Privilege
always:false and normal autonomous invocation are set. The skill does not request persistent system changes or modify other skill settings. Autonomous invocation is expected for skills and not itself a problem here.
Assessment
This skill appears coherent and limited to generating structured JSON test suites. Before installing: (1) confirm you trust the skill source (no homepage provided), (2) review the included references and the validator script locally — the Python validator only reads and checks JSON and does not perform network calls, (3) ensure you do not ask the skill to include real secrets or production destructive actions in generated tests (it recommends placeholders and disabling risky cases), and (4) if you are concerned about an agent autonomously executing generated tests against production systems, restrict model/skill invocation or review outputs before execution.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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