AC auwomo-task
任务管理：查看任务上下文、记录进展、创建主线/子线、生成汇报。 Triggers: 任务, 进展, 记录, 汇报, 主线, 子线, 待办, 日报, 周报, context, record, report, progress, 做了, 完成了, 修了, 搞定了, 推进了, 今天做的, 帮我记, 写进任务, 工作内容, 今日进展. NOT for: 消息发送(use auwomo-message), 提醒配置(暂不支持).
As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 54/100
- 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
- 30Running it twice. 5 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 9 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 457 tokens
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
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 211: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 9 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (6 of 6)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.
External checks
ClawHub: suspicious
This skill is for Feishu task management, but it can automatically read team work data and write persistent task records from broad or ambiguous prompts without enough confirmation.
LLM: suspicious (high) · 25 May 2026