AF golgent-lifestyle-discovery
Help AI agents discover relevant lifestyle options for users across shopping, dining, local services, travel, and everyday decisions. Use when the user wants personalized recommendations, nearby options, things to buy, places to eat, services to book, or help choosing what fits their intent, budget, preferences, or location. Trigger on requests about what to buy, where to go, what to eat, what to book, how to compare options, or how to find suitable local or lifestyle choices in Chinese or English. 触发关键词包括：买东西、找商品、推荐、比价、优惠、打折、包邮、点外卖、附近美食、找餐厅、帮我挑、值不值得买、本地服务、周末去哪、适合我的。
As a process F 45/100 · Will not run — References files that are not bundled: click_url
How to improve
- The text references files that are not there: add them or drop the references.
- 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 · 0
✓ No critical or high findings
Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: click_url
Process rating: all ten parameters 45/100
- 0Tools and files. 1 referenced file(s) missing: click_url
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 3 mutating operations with no state check
- 60Failures and branches. 2 branches
- 70When it triggers. States when to use, but not when not to
- 100Steps. 26 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 948 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
- +1No license
- +2Single-language instructions
- +3Description length 573: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 26 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.