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BF multi-account-mail-agent

通用多账户 IMAP/SMTP 邮箱代理。用于检查邮箱、列出账号、搜索邮件、读取邮件正文/链接/附件、下载附件、生成回复草稿、转发邮件、显式发送邮件、标记已读/未读、移动邮件，以及按关键词和截止时间生成邮件巡检摘要。支持默认账号、指定账号和跨账号操作；从某账号读取的邮件应继续使用同一账号处理回复、转发和草稿发送，避免账号交叉。触发关键词：多账户邮箱智能体、邮箱智能体、检查邮箱、查看邮箱、搜索邮件、读取邮件、邮件附件、回复草稿、转发邮件、发送邮件、截止时间邮件、邮件巡检。

ClawHub Agent Skills author: hejunhui-73 v1.0.1 MIT-0 22 files body ≈ 1 103 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

通用多账户 IMAP/SMTP…

As a process F 28/100 · Will not run — References files that are not bundled: scripts/mail_config.json, scripts/digest_config.py

ProcedureAI and agentsSoftware developmenttype 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
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
F
28/100
Will not run
References files that are not bundled: scripts/mail_config.json, scripts/digest_config.py
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 · 0

✓ No critical or high findings

Files scanned: 21. 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: scripts/mail_config.json
  • warning missing-ref reference to a missing file: scripts/digest_config.py
  • note frontmatter-key unknown frontmatter key "name_cn"
  • note frontmatter-key unknown frontmatter key "description_cn"

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: scripts/mail_config.json, scripts/digest_config.py
  • 0Tools and files. 2 referenced file(s) missing: scripts/mail_config.json, scripts/digest_config.py
  • 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. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (multi-account-mail-agent) differs from the folder (mama)
  • 100Steps. 22 steps
  • 100Execution cost. Instruction body is 1103 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
  • -38 of 11 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 237: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
The skill is a coherent mail assistant, but it handles mailbox credentials and has review-worthy control gaps around executable config files and immediate mail sending.
LLM: suspicious (high) · 23 Jul 2026