AC nest-devices
Control Nest smart home devices (thermostat, cameras, doorbell) via the Device Access API. Use when asked to check or adjust home temperature, view camera feeds, check who's at the door, monitor rooms, or set up temperature schedules.
As a process C 56/100 · Has gaps — 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 · 4
✓ No critical or high findings
Medium and low: 4
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low Exfiltration
exfil-webhook-urlscripts/nest-webhook.py:233Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)url = f'https://api.telegram.org/bot{TELEGRAM_BOT_TOKEN}/sendPhoto'placeholder -
low Exfiltration
exfil-webhook-urlscripts/nest-webhook.py:263Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)url = f'https://api.telegram.org/bot{TELEGRAM_BOT_TOKEN}/sendMessage'placeholder -
low Dangerous commands
cmd-background-processSKILL.md:258Starts a background / autostarted processsudo systemctl enable --now nest-webhook cloudflared-nest
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low Obfuscation
obf-base64-blobSKILL.md:279Long base64-looking blob (quoted — discussed, not commanded)-d '{"message":{"data":"eyJy…XN0quoted
Files scanned: 4. 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 56/100
- 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. 14 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 20 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2245 tokens
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
- -4Absolute local paths (C:\Users, /home/…): not portable
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 234: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 20 items
- +4Has examples (17 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.