Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add weizeW/mingli-skills --skill qimen-dunjiagit clone --depth 1 https://github.com/weizeW/mingli-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/weizew/mingli-skills/qimen-dunjia)<a href="https://agentmods.dev/skills/weizew/mingli-skills/qimen-dunjia"><img src="https://agentmods.dev/badge/skills/weizew/mingli-skills/qimen-dunjia/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/weizew/mingli-skills/qimen-dunjia"><img src="https://agentmods.dev/badge/skills/weizew/mingli-skills/qimen-dunjia.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.06641 |
| Opus 5.5 | $0.00014 | $0.02656 |
| Sonnet 5.5 | $0.00007 | $0.01328 |
| Haiku 4.5 | $0.00004 | $0.00664 |
Grade A, and why
qimen-duanjua scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
40 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- ARCHITECTURE.md 3.7 KB
- data/dipan_18ju.json 2.2 KB
- data/dizhi_gong.json 610 B
- data/duanjua_knowledge.json 22 KB
- data/futou.json 1.1 KB
- data/geju_xiangyi.json 18 KB
- data/jieqi_jushu.json 2.3 KB
- data/jiugong_xiangyi.json 6.7 KB
- data/jixing.json 1.0 KB
- data/kongwang.json 874 B
- data/masing.json 630 B
- data/menpo.json 942 B
- data/rumu.json 717 B
- data/sanqi_xiangyi.json 6.5 KB
- data/shigan_keying_81.json 19 KB
- data/wubuyushi.json 967 B
- data/wuxing.json 1.6 KB
- data/yuandan.json 3.5 KB
- duanjua-skill.md 19 KB
- KNOWN_ISSUES.md 3.8 KB
- research/奇门遁甲-三个知识点深挖调研.md 21 KB
- research/奇门遁甲-主客判断冲突场景调研.md 11 KB
- research/奇门遁甲-具名格局与象意系统调研.md 22 KB
- research/奇门遁甲-内外盘与远近快慢调研.md 7.5 KB
- research/奇门遁甲-地支冲合与值符值使调研.md 18 KB
- research/奇门遁甲-多用神与值符值使深挖调研.md 18 KB
- research/奇门遁甲-实战断卦案例调研-婚姻健康失物类.md 16 KB
- research/奇门遁甲-实战断卦验证案例调研.md 13 KB
- research/奇门遁甲-断卦判定规则调研.md 13 KB
- research/奇门遁甲-旬首落宫地支关系与日时冲权重深挖调研.md 16 KB
- research/奇门遁甲-旺凶减凶vs更凶-专题调研.md 15 KB
- research/奇门遁甲-格局门权重与月令旺衰深挖调研.md 18 KB
- research/奇门遁甲-横看首重大局原则深挖调研.md 15 KB
- research/奇门遁甲-综合判断与吉凶权重调研.md 11 KB
- research/术数体系量化权重全景调研.md 11 KB
- research/调研规则修正清单.md 8.0 KB
- scripts/analyze_traces.py 3.5 KB runs code
- scripts/qimen.py 19 KB runs code
- scripts/trace.py 2.6 KB runs code
- scripts/verify.py 13 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 464 lines · 36 tokens per session scan A f7d58559e41d
qimen-duanjua is a skill published in the GitHub repository weizeW/mingli-skills (99 stars, last pushed 7mo ago), with no licence file. It adds 36 tokens to every session and 6,641 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
qimen-duanjua compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| qimen-duanjuaweizeW/mingli-skills | Skill | 99 | 7mo ago | none | A | 36 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |