SKILLEMALL.ai

AD time-calc

通过 7 个原子操作完成日期时间的计算与解析:获取当前时间、日期元信息查询、相对星期查找、 日期时间加减、日期时间差值、时区转换、Unix 时间戳互转。 两类触发场景:(1) 用户直接提问时间问题,如当前日期、星期几、日期加减、日期差值、 时区换算、时间戳转换、闰年判断、第几周等。 (2) 用户请求中包含可解析为具体日期的相对时间表达(明天、下周三、3天后等), 此时先将其解析为具体日期,再继续执行后续任务。 所有时间计算通过执行 shell 命令完成,不依赖心算。

ClawHub Agent Skills author: LiaoYk v1.0.0 MIT-0 5 files body ≈ 916 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
46/100
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: 5. 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 46/100

  • 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
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 21 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 916 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 235: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This is a date and time helper that openly uses local date or PowerShell commands, with no evidence of hidden data access, networking, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026