AF gladia-audio-intelligence
Configure and use Gladia audio intelligence features: speaker diarization, translation, sentiment analysis, named entity recognition (NER), PII redaction, subtitles (SRT/VTT), summarization, chapterization, custom vocabulary, and audio-to-LLM. Use when the user asks about any audio intelligence feature, enabling features on pre-recorded or live transcription, understanding which features are available in each mode, or combining multiple features. Always prefer the official SDK; fall back to raw REST only when SDK cannot satisfy the requirement.
Configure and use Gladia audio intelligence features: speaker diarization, translation, sentiment analysis, named entity recognition (NER), PII redaction…
As a process F 44/100 · Will not run — References files that are not bundled: ../gladia-sdk-integration/SKILL.md, ../gladia-pre-recorded-transcription/SKILL.md, ../gladia-live-transcription/SKILL.md
How to improve
- The text references files that are not there: add them or drop the references.
- 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
- warning
missing-refreference to a missing file: ../gladia-sdk-integration/SKILL.md - warning
missing-refreference to a missing file: ../gladia-pre-recorded-transcription/SKILL.md - warning
missing-refreference to a missing file: ../gladia-live-transcription/SKILL.md - warning
missing-refreference to a missing file: ../gladia-troubleshooting/SKILL.md
Process rating: all ten parameters 44/100
- 0Tools and files. 4 referenced file(s) missing: ../gladia-sdk-integration/SKILL.md, ../gladia-pre-recorded-transcription/SKILL.md, ../gladia-live-transcription/SKILL.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 50Failures and branches. 0 branches, has a failure section
- 70When it triggers. States when to use, but not when not to
- 85Steps. 27 steps, 2 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1940 tokens
- 100Running it twice. No mutating operations
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
- +2Single-language instructions
- +3Description length 550: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 27 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.