SKILLEMALL.ai

BF comprehensive-divination-skill

算卦综合 Skill,提供小六壬、六爻纳甲、梅花易数、大六壬四种算卦方法。含智能路由(根据问题自动推荐方法)、基础知识库(天干地支、阴阳五行、八卦、六亲)、以及可独立调用的 Python 计算脚本。所有涉时方法已升级为基于 zhdate 的精确农历/节气/干支计算。触发关键词:算、占卜、卜卦、算算、测算、求测、预测、小六壬、六爻、梅花易数、大六壬、马前课、掐指、摇卦、铜钱卦、起卦、断卦。

ClawHub Agent Skills author: Sprint-yy v1.0.1 MIT-0 30 files body ≈ 2 703 tokens Open the sourceclawhub.ai analyzed 3 d ago

算卦综合 Skill,提供小六壬、六爻纳甲、梅花易数、大六壬四种算卦方法。含智能路由(根据问题自动推荐方法)、基础知识库(天干地支、阴阳五行、八卦、六亲)、以及可独立调用的 Python 计算脚本。所有涉时方法已升级为基于 zhdate…

As a process F 35/100 · Will not run — References files that are not bundled: scripts/_geo_cache.json, references/<method>/

ProcedureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/_geo_cache.json, references/<method>/
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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. The text references files that are not there: add them or drop the references.
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: 29. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/_geo_cache.json
  • warning missing-ref reference to a missing file: references/<method>/
  • note frontmatter-key unknown frontmatter key "critical_instructions"
  • note frontmatter-key unknown frontmatter key "description_en"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/_geo_cache.json, references/<method>/
  • 0Tools and files. 2 referenced file(s) missing: scripts/_geo_cache.json, references/<method>/
  • 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
  • 100Steps. 91 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2703 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
  • -227 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 195: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 91 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 5 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This divination skill is coherent and disclosed, with the main user considerations being optional city geocoding, local caching, and broad trigger words.
LLM: benign (high) · VirusTotal: · 16 Jun 2026