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).
🕐 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
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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Dangerous commands
cmd-cron-mentionscripts/bigtimer.py:208Mentions 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-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown 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.