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CB google-voice-caller

Automate Google Voice calls with AI-generated voice (TTS) or local audio injection.

ClawHub Agent Skills author: joe12801 v1.2.0 MIT-0 5 files · 2 scripts body ≈ 516 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Automate Google Voice calls with AI-generated voice (TTS) or local audio injection.

As a process B 65/100 · Nearly there — weak spots: result and completion, failures and branches, progress reporting

GeneratorPlaywrightAI and agentstype 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
C
84/100
safety, quality, tests
Safety 60%
99
Quality 40%
62
Run on models
none yet
Process rating
B
65/100
Nearly there
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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.
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-privilege lib/engine.js:15
    Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
    '--no-sandbox', '--disable-setuid-sandbox',
    detectorcode literal

Files scanned: 5. 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")
  • note frontmatter-key unknown frontmatter key "invocations"

Process rating: all ten parameters 65/100

  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 516 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)
  • +3Description length 83: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -213 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 16 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
The skill's code matches its stated purpose (automating Google Voice calls using a headless browser and local audio), but there are several mismatches and operational risks—undeclared dependencies, an explicit requirement to drop a Google cookies JSON (credential material) into the skill directory, and autonomous call/record capability—so you should be cautious before installing or granting it acc
LLM: suspicious (medium) · 23 Mar 2026