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企业直播 / LiveSaaS 控播 Skill。支持通过 `bytedlive` CLI 操作直播间（创建/配置/状态）、评论、系统消息、观众管控，以及 OpenAPI 兜底调用。覆盖场景包括：直播间生命周期管理、直播数据与观众画像分析、商品卡片运营（上架/讲解）、营销互动工具（卡券）与连麦协同控制、媒资库运维及账号/权益信息查询。触发词：企业直播、控播、直播间、ActivityId、评论、弹幕、禁言、拉黑、踢人、商品卡片、直播数据、观众画像、火山引擎 livesaas。

ClawHub Agent Skills author: volcVneOmniStreamBot v1.0.0 MIT-0 7 files body ≈ 4 671 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

企业直播 / LiveSaaS 控播 Skill。支持通过 bytedlive CLI 操作直播间（创建/配置/状态）、评论、系统消息、观众管控，以及 OpenAPI…

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentsMarketingtype 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
90/100
safety, quality, tests
Safety 60%
95
Quality 40%
82
Run on models
none yet
Process rating
D
47/100
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

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token references/data/openapiActionVersions.json:147
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "Anal…eV2": {
      quoted
    • low Secrets in code secret-high-entropy-token references/data/openapiActionVersions.json:172
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "title": "Anal…eV2 - 获取直播间不同观看时长的人数",
      quoted
    • low Secrets in code secret-high-entropy-token references/data/openapiActionVersions.json:5572
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "List…IV2": {
      quoted
    • low Secrets in code secret-high-entropy-token references/data/openapiActionVersions.json:5614
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "title": "List…IV2 - 获取直播间问卷数据信息",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:354
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | **直播数据与画像** | `Anal…eV2` / `GetAccountUserTrackData` | 获取观看时长分布与观众画像详情 |
      table

    Files scanned: 7. 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 47/100

    • 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. 11 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
    • 70Execution cost. Instruction body is 4671 tokens
    • 100Steps. 49 steps
    • 100Consistency. Name and required fields are in place
    • low 14 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
    • -219 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 239: enough signal without eating the budget
    • +4Structure: 38 headings
    • +3Step-by-step instructions: 49 items
    • +4Has examples (18 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: suspicious
    This skill mostly matches its livestream-control purpose, but it automatically installs/uses tools and reports usage metadata before doing the user’s task, so it should go through Review before installation.
    LLM: suspicious (high) · VirusTotal: · 9 Jul 2026