Bazi Analysis
v1.0.2Professional Bazi / Four Pillars consultation skill for birth date and time analysis. Use when the user wants a polished Bazi report with four pillars, day m...
⭐ 1· 794·2 current·2 all-time
byLi Xin@spyfree
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 describe a Bazi consultation tool and the included Python script (scripts/bazi_chart.py) implements exactly that: building four pillars, five-element counts, luck cycles and producing markdown/JSON output. There are no unrelated requirements (no cloud APIs, no extraneous credentials).
Instruction Scope
SKILL.md restricts inputs to birth date/time/gender and instructs running the local script to produce reports; it does not ask the agent to read other system files, environment variables, or transmit data externally. Output style and scope boundaries (no medical/legal/financial advice) are explicitly stated.
Install Mechanism
There is no install spec (instruction-only), which is low-risk, but the Python script imports the third-party library 'lunar_python' without declaring dependencies in the metadata. Users will need to install that package (e.g., pip install lunar_python) before running; the lack of a declared dependency is an incoherence to be aware of but not malicious.
Credentials
The skill requires no environment variables, no credentials, and accesses only the explicit inputs (date/time/gender). No sensitive system paths or unrelated secrets are requested.
Persistence & Privilege
Skill is not always-enabled and uses normal agent invocation. It does not attempt to modify other skills or system-wide settings and does not request persistent or elevated privileges.
Assessment
This skill appears coherent and implements the described Bazi report. Things to consider before installing: (1) you must install the Python dependency 'lunar_python' yourself (the skill metadata does not list dependencies); verify that package's source (PyPI or its repository) if you care about provenance. (2) The script runs locally and only needs birth date/time/gender — it does not contact external services or request secrets. (3) If you plan to allow autonomous invocation by an agent, note it can run the script with any input you or the agent supply; limit access if you don't want unattended runs. If any of these are concerning, inspect the script and the lunar_python package source before use.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.