AC agent-optimization-expert
Agent 优化专家 — 自动诊断和修复 Agent 执行问题（Cron 失败、工具报错、工作流中断、性能退化）， 兼容 OpenClaw 和 Hermes Agent，自带持续自我进化能力。 Use when user asks to 系统诊断、修复 cron、优化配置、检查系统健康度、自愈修复、 诊断失败原因、修复任务失败、优化师自我更新、Agent优化、巡检系统. 不适用于业务逻辑问题排查、飞书内容编辑、数据查询类任务.
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 10. 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 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 33 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1307 tokens
- 100Progress reporting. Reports progress
- low 10 top-level sections: this looks like several domains in one skill
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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 215: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (6 of 6)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.
External checks
ClawHub: suspicious
This maintenance skill is not malicious, but it asks for broad automated repair and self-update authority that should be reviewed before installation.
LLM: suspicious (high) · VirusTotal: · 28 May 2026