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BC truetime-cn

中文优先的精确时间处理：当前时间、相对/绝对偏移、跨时区、夏令时、农历干支、中国法定节假日（含调休补班）、24 节气。长会话规划必备——任何涉及"现在""明天""X 天后""截止日""会议时间""农历某节"的请求都应该用这个 skill，因为系统注入的日期没有时分秒、不会随对话推进而更新、不知道中国节假日和调休、不会做日历月运算、容易在 DST 上算错。LLM的内置时间常识在跨时区与日历月计算上不可靠；遇到任何时间敏感的决策（订机票、安排会议、设定截止、长任务进度核对）都先调本 skill 拿事实，再做判断。

ClawHub Agent Skills author: Yu-mt v1.0.0 MIT-0 13 files body ≈ 1 071 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
94
Quality 40%
76
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token vendor/cnlunar/config.py:18
    High-entropy token-like string (may be an id, hash or a credential)
    the1…ist = ('木', '木', '火', '火', '土', '土', '金', '金', '水', '水')
  • low Secrets in code secret-high-entropy-token vendor/cnlunar/config.py:20
    High-entropy token-like string (may be an id, hash or a credential)
    the1…ist = ('水', '土', '木', '木', '土', '火', '火', '土', '金', '金', '土', '水')
  • low Secrets in code secret-high-entropy-token vendor/cnlunar/config.py:23
    High-entropy token-like string (may be an id, hash or a credential)
    theH…ist = ('海中金', '炉中火', '大林木', '路旁土', '剑锋金', '山头火', '涧下水', '城头土', '白蜡金', '杨柳木', '井泉水',
  • low Secrets in code secret-high-entropy-token vendor/cnlunar/lunar.py:423
    High-entropy token-like string (may be an id, hash or a credential)
    return theH…ist[the6…dex(self…har) // 2]
  • low Secrets in code secret-high-entropy-token vendor/cnlunar/lunar.py:428
    High-entropy token-like string (may be an id, hash or a credential)
    '属' + the1…ist[self.dayHeavenNum],
  • low Secrets in code secret-high-entropy-token vendor/cnlunar/lunar.py:430
    High-entropy token-like string (may be an id, hash or a credential)
    '属' + the1…ist[self.dayEarthNum],

Files scanned: 12. 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 51/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 38 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1071 tokens
  • 100Running it twice. No mutating operations
  • low 12 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
  • +2Single-language instructions
  • +3Description length 257: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (2 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

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

External checks

ClawHub: clean
This skill is a local time-calculation helper with broad activation guidance, but its behavior is disclosed, purpose-aligned, and does not show hidden data access or persistence.
LLM: benign (high) · VirusTotal: · 29 May 2026