SKILLEMALL.ai

AB alibabacloud-media-diagnostics

Diagnose playback and streaming problems in user-provided media files and URLs (m3u8 / HTTP / RTMP / RTSP / SRT): moov atom position, codec compatibility (H.265/HEVC, AAC-HE, 10-bit), container issues, HLS playlist and TS segment integrity, bitrate/frame-rate anomalies, audio-video sync, and live latency factors such as B-frames and GOP size. Use when the user reports a video that will not play, shows a black or green screen, stutters or buffers, or asks for an HLS playlist, TS segment, or live stream latency check. Read-only. No credentials and no cloud API calls. Triggers: "video file won't play", "video black screen or green screen", "moov atom position issue", "HLS m3u8 playlist check", "HLS segment corrupted", "live stream latency or stutter", "TS segment analysis", "video codec compatibility", "media file format diagnosis", "B-frame or GOP structure analysis".

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 14 files body ≈ 3 905 tokens Open the sourceclawhub.ai analyzed 2 d ago

Diagnose playback and streaming problems in user-provided media files and URLs (m3u8 / HTTP / RTMP / RTSP / SRT): moov atom position, codec compatibility…

As a process B 75/100 · Nearly there — weak spots: result and completion

AnalyzerMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
B
75/100
Nearly there
Result and completion w 14
0
Tools and files w 18
60
When it triggers w 12
70
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: 14. 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 75/100

    • 0Result and completion. Does not say what the result is
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 43 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3905 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 11 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 878: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • -31 of 4 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 10 example trigger phrases
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 43 items
    • +4Has examples (9 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: clean
    This skill is a read-only media diagnostic helper; it inspects user-provided files, URLs, and referenced HLS segments, but I found no hidden writes, credential use, persistence, or exfiltration.
    LLM: benign (high) · VirusTotal: · 27 Aug 2026