八字排盘技能
v2.0.1八字命理排盘技能。支持四柱八字排盘、十神计算、大运排法、五行统计、格局判断、用神选取、流年推算、详细断语。
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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, SKILL.md usage examples, and the bundled scripts/bazi_pan.py all align: the package provides four-pillar calculations, ten-god mapping, big luck (大运), five-element statistics, pattern (格局) judgement, 用神 selection, and flow-year (流年) prediction. No unrelated credentials, binaries, or system paths are requested.
Instruction Scope
SKILL.md instructs the agent (or user) to run the included Python script with explicit CLI arguments (--date, --hour, --gender, --liu-nian, --json). The instructions do not ask the agent to read arbitrary files, examine environment variables, or transmit data externally. They are narrowly scoped to running the local script and formatting its output.
Install Mechanism
No install specification is provided (instruction-only install), and a local script file is bundled. This is low-risk: nothing is downloaded or written during install by the skill manifest itself. The SKILL.md shows an optional git clone URL (GitHub) for source reference, which is expected and not used automatically by the skill.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The bundled Python code (visible portions) only performs date/time and astrological computations and local CLI parsing; there is no justification for extra secrets or system access.
Persistence & Privilege
The skill does not request always:true and is user-invocable. It does not attempt to modify other skills or system-wide settings in the provided materials. Normal autonomous invocation (disable-model-invocation:false) is the platform default and acceptable here.
Assessment
This skill appears to do only local Bazi calculations and is coherent with its description. If you plan to install it: (1) review the full scripts/bazi_pan.py source (the provided file was truncated in the manifest) to confirm there are no hidden network calls or unexpected file I/O; (2) prefer running it in a sandbox or inspect the repository at the referenced GitHub URL before granting persistent/autonomous permissions; (3) be alert if future versions start requesting environment variables, network access, or installation steps that download code from arbitrary URLs — those would be red flags.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.