SKILLEMALL.ai

AC feishu-video-message

飞书视频发送器 — 当需要在飞书聊天中发送/展示视频时使用(包括把 OpenViking 等远端视频 preview_url 投递到飞书)。上传视频并以媒体消息发送,自动抽取首帧作为封面、探测时长,聊天中可直接播放。用 --url 传远端视频地址、用 --receive-id 传当前聊天标识(上下文原值如 chat:oc_xxx 即可)。| Feishu Video Message — Use when sending/showing a video in a Feishu chat. Upload & send via Feishu OpenAPI with auto cover & duration; pass --url for remote video and --receive-id for the current chat id.

ClawHub Agent Skills author: vivila v1.0.2 MIT-0 4 files body ≈ 734 tokens Open the sourceclawhub.ai analyzed 23 h ago

飞书视频发送器 — 当需要在飞书聊天中发送/展示视频时使用(包括把 OpenViking 等远端视频 previewurl 投递到飞书)。上传视频并以媒体消息发送,自动抽取首帧作为封面、探测时长,聊天中可直接播放。用 --url 传远端视频地址、用 --receive-id 传当前聊天标识(上下文原值如…

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ProcedureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
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 · 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 58/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 18 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 734 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
    • +2Single-language instructions
    • +3Description length 376: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 18 items
    • +4Has examples (1 code blocks)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    This skill appears intended to send videos to Feishu, but it gives an agent broad ability to fetch or read video content and send it to caller-supplied Feishu destinations without clear recipient or source safeguards.
    LLM: suspicious (medium) · VirusTotal: · 30 Jun 2026