BD jiebang-cron-task
AI Agent定时任务管理工具 - 通过自然语言创建、查询、完成、删除定时任务，查看执行日志和使用预设模板。支持Cron表达式、失败重试、模板快捷创建。当用户提到定时任务、cron、提醒、打卡、盯盘、定时执行、周期任务、任务调度等需求时使用此技能。
AI Agent定时任务管理工具 - 通过自然语言创建、查询、完成、删除定时任务，查看执行日志和使用预设模板。支持Cron表达式、失败重试、模板快捷创建。当用户提到定时任务、cron、提醒、打卡、盯盘、定时执行、周期任务、任务调度等需求时使用此技能。
As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
How to improve
- 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: 4. 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")
Process rating: all ten parameters 48/100
- 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
- 30Running it twice. 3 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 16 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 608 tokens
- low The response is described with custom markup (3 tags): a typed call is more reliable
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 125: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 16 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: clean
The skill is a disclosed external cron/reminder manager, with notable but purpose-aligned risks around remote task changes and local API key storage.
LLM: benign (medium) · VirusTotal: · 19 Jun 2026