SKILLEMALL.ai

AD smtp-mail-sender

通用 SMTP 邮件发送工具。通过命令行脚本发送纯文本或 HTML 邮件,支持多收件人、多附件。首次使用时需交互式配置邮箱地址和密码/授权码,凭据持久化存储在 Windows 注册表中。内置常见邮箱服务商 SMTP 服务器自动匹配(电信、189、139、163、QQ、126、Outlook、Gmail 等)。触发场景:发邮件、发送报告、邮件通知、邮件提醒、定时发送邮件、批量发送邮件、send email、notify、email report、邮件附件、HTML邮件。

ClawHub Agent Skills author: Antarctic-penguin971 v1.0.0 MIT-0 3 files body ≈ 1 047 tokens Open the sourceclawhub.ai analyzed 2 d ago

通用 SMTP 邮件发送工具。通过命令行脚本发送纯文本或 HTML 邮件,支持多收件人、多附件。首次使用时需交互式配置邮箱地址和密码/授权码,凭据持久化存储在 Windows 注册表中。内置常见邮箱服务商 SMTP 服务器自动匹配(电信、189、139、163、QQ、126、Outlook、Gmail…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureOutlookGmailSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
D
43/100
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: 3. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

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. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1047 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 236: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (11 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
This skill is a real SMTP email sender, but it stores reusable mailbox credentials persistently and can send local files outward, so it needs review before installation.
LLM: suspicious (high) · 17 Jul 2026