AC wayve
The operating system for solopreneurs who use AI agents. Wayve helps you discover what to automate next, gives your agent permanent memory, and protects the 7 life pillars that make it all worth it. Use this skill when users mention weekly planning, time audits, automations, agent routines, life pillars, business strategy, wrap up, fresh start, morning brief, or want to get more out of their AI agent — even if they don't explicitly say "Wayve."
As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 3
✓ No critical or high findings
Medium and low: 3
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low Exfiltration
exfil-webhook-urlreferences/automations.md:86Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)3. Get your chat_id via `https://api.telegram.org/bot<TOKEN>/getUpdates`
placeholder -
low Exfiltration
exfil-webhook-urlreferences/automations.md:97Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)wayve automations create morning_brief --cron "30 7 * * *" --timezone Europe/Amsterdam --channel discord --delivery-config '{"webhook_url":"https://discord.com/api/webhooks/..."}' --jsonplaceholder -
low Exfiltration
exfil-webhook-urlreferences/automations.md:105Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)wayve automations create morning_brief --cron "30 7 * * *" --timezone Europe/Amsterdam --channel slack --delivery-config '{"webhook_url":"https://hooks.slack.com/services/..."}' --jsonplaceholder
Files scanned: 16. 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 61/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 18 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 100Steps. 73 steps
- 100Failures and branches. 8 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3684 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 13 top-level sections: this looks like several domains in one skill
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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 448: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 73 items
- +4Reference files are cited in the instructions (14 of 14)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.