BC token-cost-optimizer
OpenClaw Token 成本优化与 API 用量控制专家。当用户提到 token 消耗过高、API 费用上涨、 模型调用太贵、上下文太长、死循环、定时任务频率、多 Agent 重复请求、模型路由、 或任何与降低 OpenClaw 运行成本相关的话题时，立即使用此 Skill。 也适用于用户说"帮我省钱"、"优化配置"、"检查一下有没有浪费"等场景。
As a process C 51/100 · Has gaps — 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: 2. 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 51/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 6 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 394 tokens
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 178: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 6 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: suspicious
This appears to be a cost-optimization helper, but it needs Review because it can guide deletion of local workspace or memory data without clear safeguards.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026