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dglijin-oss

奇门遁甲排盘技能

by dglijin-oss · GitHub ↗ · v3.0.1 · MIT-0
cross-platform ✓ Security Clean
200
Downloads
0
Stars
1
Active Installs
2
Versions
Install in OpenClaw
/install qimen-pan-skill
Description
奇门遁甲排盘技能。支持阴阳遁、局数、八门九星八神落宫、断卦解盘自动化分析。
Usage Guidance
This package looks coherent with its stated purpose: it provides local Python code to compute 奇门遁甲排盘 and a convenience backup script. Before running: (1) inspect the full scripts/qimen_pan_v2.py (the provided file is large and partially truncated here) to confirm there are no unexpected network calls or subprocess executions; (2) run in a sandbox or with a non-privileged account if you are unsure; (3) the backup.sh will create files under $HOME/.openclaw/skills/qimen-pan-skill/backup — confirm that path and permissions are acceptable; (4) ensure you use Python 3.8+ and review any third-party imports (this skill claims none). If you see any lines performing network I/O, environment reads, or exec/curl calls in the remainder of qimen_pan_v2.py, suspend installation and re-evaluate.
Capability Analysis
Type: OpenClaw Skill Name: qimen-pan-skill Version: 3.0.1 The qimen-pan-skill bundle is a legitimate tool for Qi Men Dun Jia divination. The Python scripts (qimen_pan.py and qimen_pan_v2.py) perform complex astronomical and calendar calculations using only standard libraries, with no network or suspicious system access. The backup shell script (backup.sh) manages local file copies within the skill's own directory and contains no evidence of malicious intent or data exfiltration.
Capability Assessment
Purpose & Capability
Name/description (奇门遁甲排盘) match the provided files and runtime instructions: the package contains Python implementations of lunar/calendar/jieqi/排盘 algorithms and a CLI. No unrelated credentials, binaries, or services are requested.
Instruction Scope
SKILL.md instructs running local Python scripts (scripts/qimen_pan_v2.py). The visible code implements date/time, lunar and jieqi calculations, and formatting. The instructions do not ask the agent to read unrelated system files, network endpoints, or broad context beyond user-supplied date/city/question parameters.
Install Mechanism
No install spec; skill is instruction-only and contains bundled Python scripts. There are no download/install steps from external hosts in the metadata. Bundled code will be executed if the user runs the scripts locally.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code shown uses only local data structures and optional city→longitude mapping; nothing requests secrets or unrelated system credentials.
Persistence & Privilege
Skill metadata does not set always:true and does not request system-wide configuration changes. The included backup.sh writes backups under $HOME/.openclaw/skills/qimen-pan-skill which is limited to the skill's directory (file writes are local and explicit).
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install qimen-pan-skill
  3. After installation, invoke the skill by name or use /qimen-pan-skill
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.0.1
精简 SKILL.md 文档
v3.0.0
v3.0 - Complete analysis and pattern detection
Metadata
Slug qimen-pan-skill
Version 3.0.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 2
Frequently Asked Questions

What is 奇门遁甲排盘技能?

奇门遁甲排盘技能。支持阴阳遁、局数、八门九星八神落宫、断卦解盘自动化分析。 It is an AI Agent Skill for Claude Code / OpenClaw, with 200 downloads so far.

How do I install 奇门遁甲排盘技能?

Run "/install qimen-pan-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 奇门遁甲排盘技能 free?

Yes, 奇门遁甲排盘技能 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 奇门遁甲排盘技能 support?

奇门遁甲排盘技能 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 奇门遁甲排盘技能?

It is built and maintained by dglijin-oss (@dglijin-oss); the current version is v3.0.1.

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