AB even-g2-bridge
Connect Even Realities G2 smart glasses to OpenClaw via Cloudflare Worker. Deploys a bridge that routes G2 voice commands to your OpenClaw Gateway — same agent, same memory, same tools, just voice instead of typing. Supports short conversations (direct reply on glasses), long tasks (background processing with Telegram delivery), and image generation (DALL-E → Telegram). Use when: setting up G2 glasses with OpenClaw, deploying the G2 bridge worker, or troubleshooting G2 ↔ OpenClaw connectivity.
As a process B 68/100 · Nearly there — weak spots: result and completion, when it triggers, running it twice
How to improve
- 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
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low Exfiltration
exfil-webhook-urlscripts/worker.js:185Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)await fetch(`https://api.telegram.org/bot${env.TELEGRAM_BOT_TOKEN}/sendPhoto`, {placeholder -
low Exfiltration
exfil-webhook-urlscripts/worker.js:202Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)await fetch(`https://api.telegram.org/bot${env.TELEGRAM_BOT_TOKEN}/sendMessage`, {placeholder
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 68/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 34 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1108 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +2Single-language instructions
- +3Description length 498: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 34 items
- +4Has examples (7 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.