BD sleep
睡觉技能。执行睡觉流程：将当前 session 中未完成的事项记录到 preview 文件，通过 Gateway API reset session。醒来时 hook 自动读取并注入未完成事项到新 session 上下文。触发方式：Agent 自行判断适合入睡时调用，强制入睡用 /sleep。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
IntegrationInfrastructureAI and agentstype and topics are labelled automatically from the skill text
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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Implicit keys need to be on a single line at line 7, column 1: > Install: `clawhub install openclaw-sleep` ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 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 (sleep) differs from the folder (openclaw-sleep)
- 100Tools and files. No external tools needed
- 100Steps. 22 steps
- 100Execution cost. Instruction body is 616 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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 147: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 22 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.
External checks
ClawHub: suspicious
The skill matches its stated sleep-and-resume purpose, but it gives a persistent hook and autonomous reset flow enough sensitive authority that users should review it before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026