AC dining
Dining OS v2.1——硬核膳食决策引擎。当用户面临"今天吃什么/做什么饭/点什么外卖"的决策困境时立即触发。覆盖场景：为1-N人规划下厨/堂食/外卖菜单、家庭/商务/同学聚餐方案设计、减脂增肌健身餐规划、厨艺展示选菜、露营/火锅/全素等特殊场景。核心能力：约束满足优化（忌口/过敏/健康红线）、快速盲选与深度定制双轨路由、四专家联合评审、渐进式口味画像记忆。不触发：用户仅在询问菜谱做法步骤、食材知识普及、营养学理论，而没有"帮我决定/推荐/规划"的决策意图时。
Dining OS…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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 · 0
✓ No critical or high findings
Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 30 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1345 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
- +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
- +5Description quotes 2 example trigger phrases
- +3Description length 236: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 30 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (7 of 7)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.
External checks
ClawHub: clean
This is a meal-planning skill with no executable code or exfiltration behavior, but it may summarize dietary and health details into reusable profile text.
LLM: benign (high) · VirusTotal: · 29 May 2026