SKILLEMALL.ai

AA meeting-to-text

Create a fully local speaker-separated .txt transcript from a meeting recording, meeting screen recording, speech audio, or local video/audio file. Use this whenever the user wants to transcribe a local recording into plain text, generate a meeting transcript, convert audio or video to txt, or explicitly asks to distinguish speakers with default labels like 说话人1, 说话人2, etc. Trigger even if the user only provides an input file path and an output path and says things like "转文字", "做逐字稿", "会议录音转 txt", or "区分发言人".

ClawHub Agent Skills author: henrCh1 v1.0.0 MIT-0 6 files body ≈ 796 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process A 80/100 · Runs to the end — weak spots: result and completion, running it twice

GeneratorMedia and videoInfrastructuretype 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
A
80/100
Runs to the end
Result and completion w 14
0
Running it twice w 4
30
Inputs and preconditions w 11
70
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: 5. 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 80/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 3 mutating operations with no state check
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 30 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 796 tokens
    • 100Progress reporting. Reports progress

    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 514: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 30 items
    • +4Has examples (2 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: suspicious
    This skill mostly matches a local meeting-transcription purpose, but it may quietly download a speaker model despite claiming to be fully local.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026