AD email-schedule
从 macOS 邮件应用检索邮件，并根据邮件中的事件信息创建提醒事项。支持按时间范围（今天、昨天到今天、未读）检索邮件，自动提取会议、活动等时间信息，在事件发生前2小时设置提醒。Use when: (1) 用户要求查看指定范围的邮件并创建提醒, (2) 需要从邮件中提取日程并设置提醒, (3) 自动识别邮件中的会议时间并添加到提醒事项。
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: 从 macOS 邮件应用检索邮件，并根据邮件中的事件信息创建提醒事项。支持按时间范围（今天、昨天到今天、未读）检索邮件，自动提取会议… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 43/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 493 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
- +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 169: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (5 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.
External checks
ClawHub: clean
This skill does what it advertises: it reads selected local macOS Mail data and creates local reminders from detected event times.
LLM: benign (high) · VirusTotal: · 29 May 2026