SKILLEMALL.ai

BC email-skill

|-。SMTP邮件发送自动化,支持多供应商、附件、HTML模板与TLS加密。基于SMTP协议的邮件发送自动化Skill,支持Gmail、Outlook、QQ邮箱等主流服务商。Use when 用户需要邮件技能相关功能时使用。不适用于超出本技能能力范围的复杂需求。适用于独立开发者、企业团队和自动化工作流场景。

ClawHub Hermes author: 天轰穿 v1.0.1 MIT-0 2 files body ≈ 2 502 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceGmailOutlookInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
C
51/100
Has gaps
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
This is a copy of a skill from another catalog; the rating counts the canonical one: email-skill (ClawHub)

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Block scalar header includes extra characters: |-。SMTP邮件发送自动化,支持多供应商、附件、HTML模板与TLS加密。基于SMTP协议的邮件发送自动化Skill,支持Gmail、Outlook、QQ邮箱等主流服务商。Use at line 10, column 16: description: |-。SMTP邮件发送自动化,支持多供应商、附件、HTML模板与TLS加密。基于SMTP协议的邮件发送自动化Skill,支持Gmai… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-long-hermes description is 154 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "summary_zh"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 51/100

  • 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
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 73 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2502 tokens
  • low 18 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
  • +2Single-language instructions
  • +3Description length 154: enough signal without eating the budget
  • +4Structure: 53 headings
  • +3Step-by-step instructions: 73 items
  • +4Has examples (8 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This SMTP email skill is mostly aligned with sending email, but it requests broad agent tools and lacks clear safeguards before transmitting recipients, message bodies, credentials, and attachments externally.
LLM: suspicious (high) · 10 Aug 2026