BC openclaw-voice-gpt-realtime
Make real phone calls through your OpenClaw agent via OpenAI's Realtime API. ~200-300ms latency, natural voice, IVR navigation, voicemail detection.
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Exfiltration
net-credential-usesrc/server.ts:266Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)const wsUrl = `${this.config.publicUrl.replace(/^http/, "ws")}/voice/realtime-stream/${encodeURIComponent(callId)}/${token}`;quoted -
low Exfiltration
net-credential-usesrc/server.ts:335Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)const wsUrl = `${this.config.publicUrl.replace(/^http/, "ws")}/voice/realtime-stream/${encodeURIComponent(callId)}/${token}`;quoted
Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 12 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 636 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
- +1No license
- +2Single-language instructions
- +3Description length 148: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.
External checks
ClawHub: suspicious
This is a coherent real phone-calling skill, but it deserves review because it can dial arbitrary real numbers, incur charges, and logs sensitive call prompts without a clear per-call confirmation boundary.
LLM: suspicious (medium) · VirusTotal: benign · 28 May 2026