BF 周公解梦 (ZhouGong Dream Analysis)
基于传统周公解梦和现代心理学的双语解梦系统。支持格式化梦境输入、交互式引导提问、双版本解读（传统版+科学版）、智能吉凶建议。使用场景：梦境解读、运势咨询、心理安慰、文化娱乐。SEO关键词：dream analysis, dream interpretation, dream meaning, Chinese dream analysis, Zhou Gong dream analysis, 周公解梦, 解梦, 梦见, 梦到, 梦境解析。
As a process F 31/100 · Will not run — References files that are not bundled: references/dream_dictionary.md, references/feng_shui_guide.md, references/psychology_reference.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/dream_dictionary.md - warning
missing-refreference to a missing file: references/feng_shui_guide.md - warning
missing-refreference to a missing file: references/psychology_reference.md
Process rating: all ten parameters 31/100
- 0Tools and files. 3 referenced file(s) missing: references/dream_dictionary.md, references/feng_shui_guide.md, references/psychology_reference.md
- 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 (周公解梦 (ZhouGong Dream Analysis)) differs from the folder (zhougong-dream-analysis)
- 100Steps. 52 steps
- 100Execution cost. Instruction body is 1353 tokens
- 100Running it twice. No mutating operations
- low 13 top-level sections: this looks like several domains in one skill
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
- -223 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 220: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 52 items
- +4Has examples (5 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.