BD onboarding
OpenClaw Diary 日记系统安装向导。引导用户完成日记系统的初始化设置，包括人设选择、用户身份建立、存储配置和授权管理。 **立即触发当**：用户说「setup my journal」「初始化日记」「配置日记系统」「journal setup」「开始设置日记」。 **主动触发当**：用户首次尝试使用 diary skill 但配置文件不存在时，主动提示「看起来你还没有初始化日记系统，要现在设置吗？」 完成 5 个阶段的设置：人设选择、用户身份建立（可选）、存储配置、授权收集、生成配置文件。 **核心特性**： - 智能授权合并：如果导入和存储使用相同平台（如飞书），只需授权一次 - 渐进式引导：5 个阶段，可选步骤可跳过 - 人设一致性：INTJ/ENFP 风格贯穿全程 - 纯文本交互：完全适配 Telegram/WhatsApp/Discord 等消息平台
As a process D 41/100 · Unfinished process — 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.
- 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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Secrets in code
secret-high-entropy-tokenimporters/feishu_importer.md:59High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)使用 `mcp_…ent` 读取文档内容。
quoted -
low Secrets in code
secret-high-entropy-tokenimporters/feishu_importer.md:327High-entropy token-like string (may be an id, hash or a credential)content_result = mcp_…ent({
Files scanned: 6. 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 41/100
- 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
- 40Consistency. Frontmatter name (onboarding) differs from the folder (openclaw-diary-setup)
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 59 steps
- 100Execution cost. Instruction body is 2759 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
- +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 392: enough signal without eating the budget
- +4Structure: 46 headings
- +3Step-by-step instructions: 59 items
- +4Has examples (52 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.