SKILLEMALL.ai

BD zhouyi-benjing-oracle

以《周易》本经原著为底,系统收集并逐一拆解市面上几乎所有可获取的同类 divination agents / skills / 程序, 汲取百家之长,取其精华,去其糟粕,最终打磨成这一套更准确、更完整、更好用的周易系统。它把同类产品里 最成熟的交互、百科式组织、起卦体验和规则呈现方式整合进来,同时去掉卦序错误、原文截断、白话混原文、 未校验命理乱炖和伪精确排盘,让《周易》回到原著,也把产品做到更像市面上值得长期留下来的那一个。 Built on the original Zhouyi text, this skill was forged by systematically collecting and dissecting virtually every comparable divination agent, skill, and app we could access, absorbing the best ideas across the field while stripping away the noise. We kept the strongest UX, encyclopedia structure, casting flow, and rule presentation, and removed the usual flaws: wrong hexagram mappings, truncated canon, paraphrase mixed into scripture, unverified metaphysics mashups, and fake precision. The result is a cleaner, stronger, and more enduring I Ching product.

ClawHub Agent Skills author: yixiao1032-publish v1.0.0 MIT-0 18 files · 1 script body ≈ 434 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
49/100
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.
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: 15. 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")
  • note frontmatter-key unknown frontmatter key "clawhub-slug"

Process rating: all ten parameters 49/100

  • 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 (zhouyi-benjing-oracle) differs from the folder (fortuneteller)
  • 100Tools and files. No external tools needed
  • 100Steps. 34 steps
  • 100Execution cost. Instruction body is 434 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
  • -31 of 3 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 780: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This is a local Zhouyi/I Ching divination skill with a purpose-aligned recent-reading history, but users should know questions are saved in browser storage.
LLM: benign (high) · VirusTotal: · 29 May 2026