SKILLEMALL.ai

AC preflight-caption-track-before-client-handoff

Preflights each caption track against the destination delivery profile before client handoff. Use when a WebVTT (.vtt), SRT (.srt), or TTML/IMSC (.ttml or .xml) track is frozen for delivery, a client asks whether it is valid, conformant, clean, or ready to deliver, a platform gate needs reading-speed evidence, or the user says before handoff, ready for delivery, or check 20 CPS or 17 CPS. Not for generating, translating, or burning captions into video.

ClawHub Agent Skills author: PowMCP v1.0.0 MIT-0 4 files body ≈ 3 371 tokens Open the sourceclawhub.ai analyzed 2 d ago

Preflights each caption track against the destination delivery profile before client handoff.

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Result and completion w 14
40
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 57/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 40Result and completion. Does not say what the result is
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 32 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3371 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • low 10 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
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 456: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 32 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    This skill is a bounded caption-file preflight workflow that uses a disclosed PowMCP checker, with install and data-sharing caveats users should understand.
    LLM: benign (high) · VirusTotal: · 10 Sept 2026