Call scrub

Skill iansteitz1-eng/aria-skills/call-scrub

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Install

npx -y skills add iansteitz1-eng/aria-skills --skill call-scrub

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What its author says it does

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Pull and analyze your ElevenLabs Conversational-AI voice calls — list recent conversations, or scrub one transcript to surface every tool the agent called, the result it got, errors, and timing. The fast way to debug "why did that call misbehave" without replaying audio. BYOK (your own ElevenLabs API key); read-only; stdlib only. Use when the user says "scrub that call", "what happened on the call", "pull the call transcript", "debug the voice call", "what tools fired".

SKILL.md

1.7 KB, as published. Nobody here has run it

call-scrub

Debug a voice call by reading what actually happened — tool calls, results, errors — not by re-listening.

export ELEVENLABS_API_KEY=...                          # BYOK (your key)
python3 call_scrub.py                                  # list recent conversations
python3 call_scrub.py --agent-id agent_xxx --limit 20  # filter to one agent
python3 call_scrub.py --conversation-id conv_xxx       # scrub one call's tool activity

Why

When a Conversational-AI call goes sideways, the audio doesn't tell you which tool returned an error or where it timed out. This reads the transcript via the EL API and lays out every CALL and its -> result, flagging anything that looks like an error/fail/timeout (⚠). We built it debugging our own voice stack; it's the first thing to reach for after a bad call.

Behavior

Default / --list: recent conversations (started, id, msgs, duration, status).
--conversation-id: the full tool-call/result trail + an error count.
No API key → clear FATAL + exit 2. Read-only; nothing is written.

Requires

An ElevenLabs API key (env ELEVENLABS_API_KEY or --api-key). No Python packages.