SKILLEMALL.ai

AB byteplus-mediakit-video-highlights

Create and query BytePlus/MediaKit video highlight editing tasks with the video-highlights-llm tool, focused on preset-based football highlight reels. Use when the user asks to generate, submit, or query highlight edits from one or more HTTP/HTTPS video URLs, optionally with preset (football), scoring_prompt, analysis_prompt, callbacks, or one or more target durations.

ClawHub Agent Skills author: BpVneBot v1.0.0 MIT-0 8 files body ≈ 1 694 tokens Open the sourceclawhub.ai analyzed 2 d ago

Create and query BytePlus/MediaKit video highlight editing tasks with the video-highlights-llm tool, focused on preset-based football highlight reels.

As a process B 65/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
B
65/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 0. 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 65/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 2 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 33 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 5 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1694 tokens
    • 100Progress reporting. Reports progress
    • low No test case covers injection arriving through data

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 371: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 33 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This skill is a focused BytePlus MediaKit helper that submits or queries football highlight jobs using disclosed credentials and API calls.
    LLM: benign (high) · VirusTotal: · 20 Jul 2026