SKILLEMALL.ai

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.

ClawHub Agent Skills author: Gladia v1.0.1 MIT-0 4 files body ≈ 1 940 tokens Open the sourceclawhub.ai analyzed 28 h ago

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

IntegrationAI and agentsWriting and documentsMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
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
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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

  • warning missing-ref reference to a missing file: ../gladia-sdk-integration/SKILL.md
  • warning missing-ref reference to a missing file: ../gladia-pre-recorded-transcription/SKILL.md
  • warning missing-ref reference to a missing file: ../gladia-live-transcription/SKILL.md
  • warning missing-ref reference to a missing file: ../gladia-troubleshooting/SKILL.md

Process rating: all ten parameters 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
  • 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.

External checks

ClawHub: clean
This documentation-only Gladia skill is purpose-aligned, but users should treat audio and transcripts as sensitive data sent to a third-party service.
LLM: benign (high) · VirusTotal: · 8 Jun 2026