SKILLEMALL.ai

AC bazi

四柱八字命理分析。通过交互式步骤收集出生信息(姓名、曾用名、阳历/农历生日、时辰、性别、出生地), 排出四柱八字,参照经典命理典籍(穷通宝典、三命通会、滴天髓、渊海子平、子平真诠等)进行专业分析。 Use this skill whenever the user asks for 八字、四柱、命理、算命、Bazi、fortune telling、 birth chart analysis, or wants to know about their 八字命盘、运势、大运、流年. Triggers: "算八字", "看八字", "批八字", "排八字", "四柱", "命盘", "算命", "帮我看看八字", "我想算八字", "分析八字", "排盘", "bazi", "bazi analysis", "fortune telling", "birth chart", "算一卦", "看运势", "命运分析". 即使只是提到"算命"、"八字"而没有明确说要用skill,也应该使用此skill。

ClawHub Agent Skills author: X-RayLuan v1.0.1 MIT-0 7 files body ≈ 1 536 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
C
55/100
Has gaps
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

    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 · 0

    ✓ No critical or high findings

    Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 55/100

    • 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
    • 40Consistency. Frontmatter name (bazi) differs from the folder (xray-bazi)
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 94 steps
    • 100Execution cost. Instruction body is 1536 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 452: enough signal without eating the budget
    • +4Structure: 32 headings
    • +3Step-by-step instructions: 94 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: suspicious
    This Bazi skill is mostly purpose-aligned, but it asks for identifying birth details and can call an external calendar API without a clear privacy or consent step.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026