BC zhongguo-nongli-huangli-jixiong
Chinese Almanac (黄历) · Lunar Calendar (农历) · Auspicious / Inauspicious Days (吉凶查询) — A comprehensive Huangli Inquiry, Nongli Date Converter, and Jixiong Fortune Day tool. Query today's Chinese almanac (今天黄历怎么样), check daily forbidden and recommended activities (今日宜忌), convert Gregorian to Chinese lunar calendar (公历转农历), select auspicious dates for weddings (结婚吉日), moving houses (搬家吉日), business openings (开业吉日), and construction starts (开工吉日). Filter good vs bad days (吉日凶日筛选) across date ranges with keyword matching (甲子日等关键词搜索). Includes detailed auspicious deities (吉神), inauspicious spirits (凶煞), directional taboos (冲煞), hourly fortune (时辰吉凶), and the complete Huangdao-Heidao twelve deities system. Free tier with manual reset on 429 rate limit. 黄历查询、老黄历、今日黄历宜忌、吉凶查询、农历查询全能工具。查今天黄历怎么样、今天宜忌什么、农历几号、公历转农历、搬家结婚开业开工择日、吉日凶日筛选、每日宜忌、黄道吉日。支持单日查询、区间批量筛选、甲子日等关键词搜索。免费额度，429手动重置不限次。
As a process C 53/100 · Has gaps — 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.
- 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: 6. 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") - note
frontmatter-keyunknown frontmatter key "summary" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "repository" - note
frontmatter-keyunknown frontmatter key "publisher" - note
frontmatter-keyunknown frontmatter key "required_env" - note
frontmatter-keyunknown frontmatter key "outbound_hosts" - note
frontmatter-keyunknown frontmatter key "keywords" - note
frontmatter-keyunknown frontmatter key "topics"
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 539 tokens
- 100Running it twice. No mutating operations
- low 10 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)
- +3Description length 880: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -41 reference files, but SKILL.md never points to them: the model will not open them
- -31 of 3 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +4Structure: 14 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (3 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.