SKILLEMALL.ai
GitHub ↗ RU Sign in

BF whisper-transcriber

Offline speech-to-text (ASR) using whisper.cpp (whisper-cli) + ffmpeg. Supports batch transcription, timestamps, SRT/TXT/JSON outputs, and model download. Cross-platform: macOS/Linux; Windows via WSL2 (recommended).

ClawHub Agent Skills author: vvusu v1.0.0 11 files · 4 scripts body ≈ 326 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 35/100 · Will not run — References files that are not bundled: scripts/install.ps1, assets/models/

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
99
Quality 40%
56
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/install.ps1, assets/models/
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-execpolicy-bypass scripts/install.sh:120
    Runs PowerShell with execution policy bypassed (detector / deny-list definition)
    err "Detected Windows shell. Please run: powershell -ExecutionPolicy Bypass -File '$SKILL_DIR/scripts/install.ps1'"
    detector

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/install.ps1
  • warning missing-ref reference to a missing file: assets/models/

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/install.ps1, assets/models/
  • 0Tools and files. 2 referenced file(s) missing: scripts/install.ps1, assets/models/
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 326 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
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • -31 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 215: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: clean
This is a coherent local speech-to-text skill; its main risks are disclosed model downloads, local package installation, and handling sensitive audio transcripts.
LLM: benign (high) · VirusTotal: · 29 May 2026