BD liuyao-divination
专业六爻纳甲筮法排盘与解卦。自动起卦排盘，十步完整流程（第零步排盘→审题取用神→判定旺衰→追踪动变→伏神分析→世应关系→六神兽取象→应期推断→综合断语→智能体审查→HTML报告）。 使用场景：六爻占卜、金钱卦、纳甲筮法、周易预测、起卦解卦。
As a process D 38/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 23. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 9163 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 38/100
- 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 (liuyao-divination) differs from the folder (liuyao-divination-power)
- 40Execution cost. Instruction body is 9163 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 72 steps
- 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
- -2121 emoji in the instructions: noise for the model
- -33 of 5 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 120: enough signal without eating the budget
- +4Structure: 30 headings
- +3Step-by-step instructions: 72 items
- +4Has examples (22 code blocks)
- +4Reference files are cited in the instructions (13 of 13)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.
External checks
ClawHub: suspicious
The skill has a coherent divination/reporting purpose, but it needs Review because it runs local commands, persists detailed user reports, installs an unpinned package, and mishandles untrusted text in command and HTML paths.
LLM: suspicious (high) · 8 Sept 2026