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AD ezviz-audio-broadcast

萤石语音广播技能。支持本地音频文件上传或文本转语音，实现语音内容下发到设备播放。 Use when: 需要向萤石设备发送语音通知、广播、提醒等音频内容。 ⚠️ 安全要求：必须设置 EZVIZ_APP_KEY 和 EZVIZ_APP_SECRET 环境变量，使用最小权限凭证。

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 4 files body ≈ 3 821 tokens Open the sourcegithub.com↗ analyzed 2 d ago

萤石语音广播技能。支持本地音频文件上传或文本转语音，实现语音内容下发到设备播放。 Use when: 需要向萤石设备发送语音通知、广播、提醒等音频内容。 ⚠️ 安全要求：必须设置 EZVIZAPPKEY 和 EZVIZAPPSECRET 环境变量，使用最小权限凭证。

As a process D 39/100 · 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
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
D
39/100
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

The same skill appears in 1 more place: openclaw-master-skills

How to improve

    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: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 39/100

    • 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. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (ezviz-audio-broadcast) differs from the folder (ezviz-open-camera-broadcast)
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 100Steps. 107 steps
    • 100Execution cost. Instruction body is 3821 tokens
    • low 20 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
    • -298 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 138: enough signal without eating the budget
    • +4Structure: 43 headings
    • +3Step-by-step instructions: 107 items
    • +4Has examples (26 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.