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BD quiet-mail - Email for AI Agents

✅ Unlimited sending - No 25/day limit like ClawMail ✅ No verification - Instant signup, no Twitter required ✅ Simple API - Create agent, send email, done ✅ Free forever - No hidden costs, no usage ...

modbender/skill-library-mcp Agent Skills author: modbender MIT 27 files · 3 scripts body ≈ 2 253 tokens Open the sourcegithub.com↗ analyzed 2 d ago

✅ Unlimited sending - No 25/day limit like ClawMail ✅ No verification - Instant signup, no Twitter required ✅ Simple API - Create agent, send email, done ✅…

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype 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
80/100
safety, quality, tests
Safety 60%
94
Quality 40%
60
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-password-literal app/models.py:15
    Hard-coded password / key literal (may be an example)
    api_key = Column(String(128), unique=True, nullable=False, index=True)  # qmail_xxx
  • low Exfiltration read-dotenv README.md:43
    Reads a .env file
    cp .env.example .env
  • low Dangerous commands cmd-background-process README.md:156
    Starts a background / autostarted process
    sudo systemctl enable quiet-mail-api
  • low Secrets in code secret-password-literal test_send_email_direct.py:18
    Hard-coded password / key literal (may be an example) (test fixture / example file)
    password="TG4I…V8m",
    fixture
  • low Secrets in code secret-high-entropy-token test_testbot_smtp.py:18
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    password="LxTW…R0o",
    fixturequoted
  • low Secrets in code secret-password-literal test_testbot_smtp.py:18
    Hard-coded password / key literal (may be an example) (test fixture / example file)
    password="LxTW…R0o",
    fixture

Files scanned: 25. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 44/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 18 mutating operations with no state check
  • 40Consistency. Frontmatter name (quiet-mail - Email for AI Agents) differs from the folder (quietmail)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 26 steps
  • 100Execution cost. Instruction body is 2253 tokens
  • low 16 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
  • -5TODO / placeholder text left in the skill
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 200: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.