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小米小爱音箱语音指令桥接。截取小爱音箱的语音消息，转换为 AI 助手指令，并通过 TTS 回复。支持触发词过滤、自动去重、后台监听。适用于通过小爱音箱语音控制 OpenClaw 助手、智能家居联动、语音任务执行等场景。

modbender/skill-library-mcp Agent Skills author: modbender MIT 7 files body ≈ 1 701 tokens Open the sourcegithub.com↗ analyzed 2 d ago

小米小爱音箱语音指令桥接。截取小爱音箱的语音消息，转换为 AI 助手指令，并通过 TTS 回复。支持触发词过滤、自动去重、后台监听。适用于通过小爱音箱语音控制 OpenClaw 助手、智能家居联动、语音任务执行等场景。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureGitHubSoftware 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
83/100
safety, quality, tests
Safety 60%
91
Quality 40%
70
Run on models
none yet
Process rating
D
46/100
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 · 9

✓ No critical or high findings

Medium and low: 9
  • low Obfuscation obf-base64-blob scripts/.mi.json:1
    Long base64-looking blob (quoted — discussed, not commanded)
    {"mina":{"deviceId":"andr…b63","userId":"2277466353","passToken":"V1:p…7jW/Ryrd…KIB
    quoted
  • low Secrets in code secret-high-entropy-token scripts/.mi.json:1
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    {"mina":{"deviceId":"andr…b63","userId":"2277466353","passToken":"V1:p…7jW/Ryrd…KIB
    quoted
  • low Secrets in code secret-password-literal scripts/.mi.json:1
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    {"mina":{"deviceId":"andr…b63","userId":"2277466353","passToken":"V1:p…7jW/Ryrd…KIB
    quoted
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:35
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…RGE/Xb9Q…6gL+44VX…gsb+wp77Zg==",
    detector
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:44
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…9dM/mwVgvbZJaSNaRk+bshk…Kbz+IoId…W0Q==",
    quoted
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:74
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…SDq+2kAA…MOe/+5cdoEdg==",
    quoted
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:121
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…FrF+LTRo…W3g==",
    quoted
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:130
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…A6j+hAmM…GbS+kf5c…csw==",
    quoted
  • low Exfiltration read-dotenv SKILL.md:42
    Reads a .env file
    cp .env.example .env

Files scanned: 7. 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")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 100Steps. 17 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1701 tokens
  • 100Running it twice. No mutating operations
  • low 12 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 109: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

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