AD bingo-email
统一邮件管理技能，用于读取、发送、回复、转发邮件，以及管理草稿箱和文件夹。 当用户提到"读邮件"、"发邮件"、"回复"、"草稿箱"、"未读邮件"、"收件箱"、 "邮箱"等任何与电子邮件相关的操作时，使用此技能。替代 himalaya CLI， 全部使用 Python 脚本操作任意 IMAP/SMTP 邮箱（腾讯企业邮箱、QQ邮箱、 126/163 网易邮箱、Gmail、Outlook 等）。 适用于邮件分类整理、批量处理、自动回复草稿生成等场景。 支持 126/163 邮箱的 IMAP ID (RFC 2971) 要求。
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 · 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 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. 1 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 31 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2214 tokens
- 100Progress reporting. Reports progress
- low 11 top-level sections: this looks like several domains in one skill
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
- -219 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 263: enough signal without eating the budget
- +4Structure: 40 headings
- +3Step-by-step instructions: 31 items
- +4Has examples (21 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.