AD openclaw-continuous-work
全面优化 OpenClaw 对话体验并强化任务闭环执行。Use when user asks to 优化, 工作, 项目, 持续工作, 不要停, 继续做, 继续工作, 或希望助手接收指令后持续推进直到完成。Also use when the user asks for complete optimization tasks rather than partial fixes.
As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
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: 28. 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 47/100
- 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
- 40Consistency. Frontmatter name (openclaw-continuous-work) differs from the folder (openclawcontinuouswork)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 40 steps
- 100Execution cost. Instruction body is 479 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (3 tags): a typed call is more reliable
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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 189: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 40 items
- +4Reference files are cited in the instructions (13 of 14)
- +3All 8 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.
External checks
ClawHub: suspicious
This skill is transparent about continuous optimization work, but it grants broad file-change and keep-working behavior under broad triggers without clear user confirmation gates.
LLM: suspicious (high) · VirusTotal: · 29 May 2026