call-scrub — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited call-scrub (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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 activityWhen 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.
FATAL + exit 2. Read-only; nothing is written.ELEVENLABS_API_KEY or --api-key). No Python packages.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.