SKILLEMALL.ai

BD bigtimer

🕐 BigTimer · 定时任务管家 — 定时任务·定时消息推送·任务管家·定时推送·定时提醒·定时报告统一管理(cron 调度 + 消息推送,飞书/多端)。OpenClaw 环境自动走 openclaw cron + message send,DSH 环境自动走 crontab + 飞书 webhook。支持定时任务增删改查、立即执行、调度条目生成,biga/eyes/bigfocus/listform 等技能的定时消息推送可统一接入。触发词:定时任务、定时消息推送、消息推送、任务管家、定时推送、定时提醒、定时报告、定时扫描。| Scheduled tasks & message push manager — cron jobs, scheduled message push, task manager, auto push to Feishu/multi-channel, dual-env (OpenClaw/DSH).

ClawHub Agent Skills author: kobenfang v1.0.1 MIT-0 3 files body ≈ 611 tokens Open the sourceclawhub.ai analyzed 3 d ago

🕐 BigTimer · 定时任务管家 — 定时任务·定时消息推送·任务管家·定时推送·定时提醒·定时报告统一管理(cron 调度 + 消息推送,飞书/多端)。OpenClaw 环境自动走 openclaw cron + message send,DSH 环境自动走 crontab + 飞书…

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
74
Run on models
none yet
Process rating
D
45/100
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-cron-mention scripts/bigtimer.py:208
    Mentions editing / listing crontab (detector / deny-list definition; string literal in code, not executed)
    return {"ok": True, "removed": args.name, "tip": "需手动移除系统调度条目(crontab -e / openclaw cron remove)"}
    detectorcode literal

Files scanned: 3. 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")
  • note frontmatter-key unknown frontmatter key "triggers"

Process rating: all ten parameters 45/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 4 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 611 tokens
  • 100Progress reporting. Reports progress

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 420: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 4 items
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
This skill is a disclosed scheduler, but it needs Review because it can save recurring shell commands to cron and forward command output to messaging or webhook destinations.
LLM: suspicious (high) · 4 Sept 2026