SKILLEMALL.ai

BD local-mail-digest

面向广大用户的本地邮件摘要与待办提取技能组件(零依赖、数据不出电脑)。把一批邮件变成结构化摘要(优先级/项目分组/待办/截止日),供 Python、Codex、Claude、WorkBuddy、Hermes、OpenClaw 等宿主调用。**主路径零配置**:宿主已接通邮箱连接器(如 WorkBuddy agent-mail/qq-mail)时,自动拉取邮件转 JSON 后本技能 `--input` 消费,用户无需任何授权码/IMAP 配置;自托管用户可选 IMAP 直连(配一次授权码)。输出 HTML/Markdown/JSON。

ClawHub Agent Skills author: XiaoqiangDev v0.1.0 MIT-0 5 files body ≈ 538 tokens Open the sourceclawhub.ai analyzed 3 d ago

面向广大用户的本地邮件摘要与待办提取技能组件(零依赖、数据不出电脑)。把一批邮件变成结构化摘要(优先级/项目分组/待办/截止日),供 Python、Codex、Claude、WorkBuddy、Hermes、OpenClaw 等宿主调用。主路径零配置:宿主已接通邮箱连接器(如 WorkBuddy…

As a process D 46/100 · 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
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 538 tokens
  • 100Running it twice. No mutating operations

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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 269: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.

External checks

ClawHub: suspicious
This email-digest skill is mostly purpose-aligned, but its privacy claims understate optional network paths that can send email-derived content off the computer.
LLM: suspicious (high) · 12 Aug 2026