AC xiaoyaoclaw-context-budget
OpenClaw context check / context optimization (Context Budget). Core goal = context optimization: reads the models currently enabled in this installation, reads each model's published context window from its vendor's official source, and proposes a window = 60% of the vendor spec. It writes nothing until the user confirms; then it patches only the window field and reports the result. This skill never runs automatically and creates no scheduled jobs. Use ONLY when the user explicitly asks, with one of these exact intents: 上下文检查 / 上下文优化 / 检查一下模型上下文 / 把上下文窗口配一下 / 设置上下文窗口, or in English: context window check, configure context window, context optimization. Do NOT activate on generic talk about context, memory, prompts, or token usage. 中文：按「厂商标称窗口 × 60%」设置已启用模型的上下文窗口；流程 = 检测（只读）→ 决策（用户回一个数字）→ 执行（确认后写入）。 不做：maxTokens 等其它参数、压缩阈值（保持系统默认）、未在用模型的默认配置、自动/定时运行、修改历史与审计留痕。
OpenClaw context check / context optimization (Context Budget).
As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting
How to improve
- 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
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low Secrets in code
secret-high-entropy-tokenREADME.en.md:15High-entropy token-like string (may be an id, hash or a credential)[[
- +3Description length 871: 120–800 characters recommended
- +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
- +2Single-language instructions
- +4Structure: 13 headings
- +3Step-by-step instructions: 36 items
- +4Has examples (2 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.