SKILLEMALL.ai

AC assemblyai-transcribe

Transcribe, diarise, translate, post-process, and structure audio/video with AssemblyAI. Use this skill when the user wants AssemblyAI specifically, needs high-quality speech-to-text from a local file or URL, wants speaker labels or named speakers, language detection, subtitles, paragraph/sentence exports, topic/entity/sentiment extraction, Speech Understanding, or agent-friendly transcript output as Markdown or normalised JSON for downstream AI workflows.

ClawHub Agent Skills author: TobeyRebecca v1.0.0 MIT-0 20 files body ≈ 2 190 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice

ProcedureMedia and videoAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: assemblyai-transcribe (ClawHub)

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: 20. 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 63/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (assemblyai-transcribe) differs from the folder (toby-audio-transcribe)
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 90 steps
    • 100Failures and branches. 4 branches, has a failure section
    • 100Execution cost. Instruction body is 2190 tokens
    • low 15 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +3Description length 460: enough signal without eating the budget
    • +4Structure: 28 headings
    • +3Step-by-step instructions: 90 items
    • +3Output format is stated explicitly
    • +4Has examples (10 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: suspicious
    This skill does relevant transcription work, but users should review it because sensitive media and transcripts default to a SkillBoss/HeyBossAI API path while the documentation presents the workflow as AssemblyAI-focused.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026