BC DaDaScribe advanced speech-to-text transcription and translations
Transcribe audio and video with the DaDaScribe AI service (YouTube URLs, direct links, or local files). Supports 100+ languages, speaker diarization with named speakers, translation to up to 5 languages, and returns .txt transcripts plus .srt subtitles. Use whenever the user asks to transcribe, caption, subtitle, or translate speech from YouTube, podcasts, meetings, interviews, videos, or audio/video files via DaDaScribe or the dadascribe API.
Transcribe audio and video with the DaDaScribe AI service (YouTube URLs, direct links, or local files).
As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
How to improve
- 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 · 1
✓ No critical or high findings
Medium and low: 1
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medium Exfiltration
net-credential-useSKILL.md:192Credential used in a network call (verify the destination is the intended service)w = ScribeAPIWrapper(os.environ["DADASCRIBE_API_KEY"])
Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
name-longname is longer than 64 chars - warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens)
Process rating: all ten parameters 52/100
- 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. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (DaDaScribe advanced speech-to-text transcription and translations) differs from the folder (dadascribe)
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 23 steps
- 100Execution cost. Instruction body is 1934 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 447: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (10 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.