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BF send-email

邮件发送工具。配置 SMTP 发件人后，通过脚本发送纯文本或 HTML 邮件，支持附件、抄送、密送。在需要发送邮件通知、报告、自动化邮件时触发。

ClawHub Agent Skills author: flyingtimes v2.5.0 9 files body ≈ 3 061 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 28/100 · Will not run — References files that are not bundled: /path/to/image.png, path, /path/to/screenshot1.png

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
99
Quality 40%
54
Run on models
none yet
Process rating
F
28/100
Will not run
References files that are not bundled: /path/to/image.png, path, /path/to/screenshot1.png
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-cron-mention SKILL.md:465
    Mentions editing / listing crontab
    crontab -e

Files scanned: 9. 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")
  • warning missing-ref reference to a missing file: /path/to/image.png
  • warning missing-ref reference to a missing file: path
  • warning missing-ref reference to a missing file: /path/to/screenshot1.png
  • warning missing-ref reference to a missing file: /path/to/screenshot2.png
  • warning missing-ref reference to a missing file: /path/to/ai-demo.png
  • warning missing-ref reference to a missing file: /path/to/new-feature.png
  • warning missing-ref reference to a missing file: path/to/image.png
  • warning missing-ref reference to a missing file: url

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: /path/to/image.png, path, /path/to/screenshot1.png
  • 0Tools and files. 8 referenced file(s) missing: /path/to/image.png, path, /path/to/screenshot1.png
  • 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. 11 mutating operations with no state check
  • 40Consistency. Frontmatter name (send-email) differs from the folder (send-email-tool)
  • 100Steps. 87 steps
  • 100Execution cost. Instruction body is 3061 tokens
  • low 10 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)
  • +3Description length 72: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -228 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 42 headings
  • +3Step-by-step instructions: 87 items
  • +4Has examples (35 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: suspicious
This email skill appears purpose-built rather than malicious, but it should be reviewed because it can persist email credentials in easily reversible local files and can email local files or images externally.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026