AD openclaw-agent-onboarding
OpenClaw 个人 AgentOS 初始化向导 / Bootstrapper。Use when a user wants to initialize, diagnose, upgrade, repair, or health-check a new or existing OpenClaw setup; install baseline skills; add web search and skill discovery; set up HOT/WARM/COLD memory; create an Obsidian-friendly Markdown knowledge base; configure Agent teams; establish self-evolution workflows; reduce context pollution; or bootstrap OpenClaw into a personal AgentOS. 触发词：OpenClaw 初始化、AgentOS 启动器、新用户引导、安装必要 skill、搭建三层记忆、个人知识库、Obsidian、Agent 团队、自进化、健康检查、一键修复、一键升级、上下文污染治理。
As a process D 48/100 · Unfinished process — 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 · 0
✓ No critical or high findings
Files scanned: 14. 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 48/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 11 mutating operations with no state check
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Failures and branches. 5 branches
- 85Steps. 11 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2031 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
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 534: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (20 code blocks)
- +4Reference files are cited in the instructions (8 of 8)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.