SKILLEMALL.ai

BD bazi-engine

四柱八字命理分析智能体。通过引导式交互收集出生信息(姓名、生日(阳历或农历均可)、出生时间、性别、出生地), 自动排出四柱八字与大运流年,并参照古代命理典籍进行专业分析。输出必须标注古籍出处,保证可追溯、可检验。 适用场景:用户想算八字、看命盘、测运势、查合婚、补五行、看神煞、看流年,或提到"算命/四柱/命理/bazi/fortune"。 即使只提"算命""八字"而未明确说用 skill,也应启用本 skill。 本 Skill 采用双许可:代码 MIT / 数据 CC BY-NC-SA 4.0(详见仓库 LICENSE / LICENSE-DATA)。

ClawHub Hermes author: 阮小贰 v1.3.6 MIT-0 52 files body ≈ 1 678 tokens Open the sourceclawhub.ai analyzed 2 d ago

四柱八字命理分析智能体。通过引导式交互收集出生信息(姓名、生日(阳历或农历均可)、出生时间、性别、出生地), 自动排出四柱八字与大运流年,并参照古代命理典籍进行专业分析。输出必须标注古籍出处,保证可追溯、可检验。…

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
99
Quality 40%
63
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token tools/build_ui.py:68
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    background:url("data:image/png;base64,iVBO…Hn0/FnEz…mk6/mEu+lUe6…viU
    detector

Files scanned: 51. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 281 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill

Process rating: all ten parameters 41/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (bazi-engine) differs from the folder (baizi-engine)
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 100Steps. 72 steps
  • 100Execution cost. Instruction body is 1678 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 280: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 72 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This is a disclosed Bazi fortune-telling skill, but it needs review because it collects sensitive birth/profile data and includes some under-scoped high-impact guidance and UI safety issues.
LLM: suspicious (high) · 24 Aug 2026