SKILLEMALL.ai

BC chinese-year-lookup

中国历史年份查询与转换技能。(1)年份转换:用户输入公元纪年(如1234年)、中国朝代年号纪年(如绍定六年、康熙元年)、或干支纪年(如甲子年)时,自动转换为其他纪年方式,并查询该年中国与世界重要历史事件。(2)皇帝查询:用户发送中国古代皇帝名字(如秦始皇、汉武帝、唐太宗、康熙皇帝),即可查询该皇帝在位期间使用的全部年号,对应公元年份和干支年份,并概括其功绩与历史地位。(3)历史事件查询:用户发送中国历史重要事件名称(如盘庚迁殷、张骞出使西域、白登之围、玄武门之变、商鞅变法等),即可查询该事件的具体年代和事件简介。触发词:'某年发生了什么'、'某皇帝年号'、'某帝在位'、'某皇帝功绩'、'某历史事件'、'某事件发生在哪年'等。

ClawHub Agent Skills author: ltap266 v1.3.0 MIT-0 6 files body ≈ 555 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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
C
53/100
Has gaps
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: 6. 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")

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. 50 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 555 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 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 316: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 50 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

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

External checks

ClawHub: clean
This skill appears to be a legitimate Chinese historical year conversion and lookup tool, with only ordinary privacy and accidental-activation considerations.
LLM: benign (high) · VirusTotal: benign · 28 May 2026