Almanac Creator
v3.0.2Daily Chinese Almanac Image Generator - Create traditional Huangli calendar images with zodiac fortune, fengshui tips, auspicious timing, and dressing advice...
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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 (daily Huangli image generator) match the files and instructions. The repository contains image-generation scripts, layout/config docs, and uses Pillow and lunar-python for calendar calculations—these are expected for the stated purpose. No unrelated cloud credentials, system-level binaries, or network-exfiltration-only components are requested.
Instruction Scope
Runtime instructions focus on preparing calendar data and generating/saving PNGs, and recommend (optionally) fetching calendar data from public APIs (e.g., qingyunke, sojson, lwl12). They do not instruct reading unrelated secrets or modifying other skills. Notes: some docs/snippets show a hardcoded user workspace path (C:/Users/liuyan/.openclaw/...) and example code shows optional requests to third‑party APIs—both are functional but worth checking for your environment and trust preferences.
Install Mechanism
This is an instruction-only skill with included Python scripts (no install spec). Dependencies are typical (Pillow, lunar-python). No downloads from arbitrary URLs or archive extraction are present in the metadata. You should still install Python packages from PyPI in a controlled environment.
Credentials
The skill declares no required environment variables or credentials. It optionally supports an output env var (OPENCLAW_OUTPUT) per the logs/config; this is reasonable. No high‑privilege or unrelated secrets are requested. The code does reference system font paths (e.g., C:/Windows/Fonts/simhei.ttf) and writes image outputs to local directories, which is expected.
Persistence & Privilege
always:false and user-invocable:true (normal). The skill does not request to be force-enabled, nor does it modify other skills or global agent settings according to the provided files.
Assessment
This package appears to do what it claims (generate Huangli images). Before installing or running: 1) Run it in a sandbox or virtualenv and review/lock Python dependencies (Pillow, lunar-python). 2) Verify and prefer trusted data sources — the docs recommend public third‑party APIs (e.g., qingyunke); those can return unverified content. If you don't want network calls, disable/inspect any get_almanac_data() implementation. 3) Inspect files that contain hardcoded paths (e.g., C:/Users/liuyan/.openclaw/...) and change output directories to a safe location. 4) Confirm date-range accuracy for your use case (some helper files contain 2026-specific jieqi mappings while the skill claims broader 1900–2100 support). 5) If you plan automation (scheduled tasks), ensure the scheduled commands and working directories point to safe locations. If you want, I can point out the exact lines/files with hardcoded paths or external-API calls to review further.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.