测试用例生成器
v1.1.0Automated test case generation from project documents. This skill should be used when generating structured test cases from requirements documents, API speci...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (automated test-case generation) matches the included artifacts: SKILL.md specifies parsing documents, image analysis, path coverage, and Excel output; references contain templates and an Excel-format guide; a helper script for PDF image extraction (expected for image analysis) is provided. Note: the repository provides guidance and a helper script but does not include a packaged Excel-generator binary — generation is intended to be performed by the agent environment (using openpyxl as documented). This is consistent with an instruction-only skill.
Instruction Scope
SKILL.md instructs the agent to parse user-provided docs, extract embedded images (via the included script), produce analysis reports and Excel files, and follow staged checklists that require user confirmations. The instructions reference only project-local files and the included script; they do not direct the agent to read unrelated system paths, access external endpoints, or exfiltrate secrets. Environment variables mentioned are only optional parameters for image extraction (MIN_WIDTH, MIN_HEIGHT, MIN_SIZE).
Install Mechanism
There is no install spec — the skill is instruction-only with one helper script included. The script depends on PyMuPDF (fitz) and the documentation references openpyxl; these are normal Python dependencies and no external download or obscure installer is used. No archives or remote URLs are fetched by the skill itself.
Credentials
The skill requests no credentials and declares no required environment variables. The only environment usage is optional configuration for the extraction script (MIN_WIDTH, MIN_HEIGHT, MIN_SIZE), which is proportional to image extraction. No hidden env vars or credential-like variables are present.
Persistence & Privilege
The skill is not forced-always and does not request persistent system privileges. It does not modify other skills or global agent settings. It writes extracted images to a local output directory (by design) but otherwise does not request elevated privileges.
Assessment
This skill appears coherent and non‑malicious. Before installing: (1) Review the included scripts (scripts/extract_pdf_images.py) — it only reads the supplied PDF and writes images to a local images/ directory; no network activity or credential use is present. (2) Ensure the agent/runtime has Python and the optional dependencies (PyMuPDF for image extraction, openpyxl if you want automated Excel writing). (3) Be mindful of what documents you feed the skill: extracted images and generated Excel files are written locally and may contain PII or sensitive diagrams. If you're concerned, run the skill in an isolated environment or with non-sensitive sample documents first. (4) Note that Excel generation is specified by guidelines and examples (references/excel_format.md) but full implementation is expected to run in the agent environment — confirm your runtime will implement the Excel creation as intended. Overall, no secrets or network endpoints are requested by the skill; it follows the documented workflow and checklists.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.