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Install in OpenClaw
/install quality-boost
Description
通过9条严格规则系统评估并量化大模型回答质量，防止幻觉、跑偏、冗长和遗漏，确保准确、简洁、合规的输出。
Usage Guidance
This skill is an instruction-only prompt/template pack and appears to do what it says. Before applying it globally: (1) review the system-inject content — injecting it will prepend a system prompt that affects all agent responses; (2) back up ~/.openclaw/config.json before making changes so you can revert; (3) prefer manual invocation or session-level use first (use the quick-apply templates) to confirm the behavior meets your needs before enabling autoApply/system injection; (4) never paste the templates into external services unless you intend those services to adopt the rules. No credentials or external downloads are required.
Capability Assessment
Purpose & Capability
Name/description (improving LLM answer quality) matches the provided materials: 9 rules, templates, quick-apply snippets, and a system-prompt file. The skill requires no binaries, env vars, or external services — all requested resources are consistent with a prompt/policy helper.
Instruction Scope
SKILL.md and supporting files are a set of prompts and templates to be applied to conversations. They remain within the stated scope, but include an explicit 'system injection' template and instructions for adding a system prompt. That changes agent behavior globally if applied; it's expected for this purpose but broadens the skill's runtime impact (affects all future responses when injected).
Install Mechanism
No install spec or external downloads — instruction-only. No code files to execute, and the regex scanner had nothing to analyze, so no installation risk was found.
Credentials
No environment variables, credentials, or unrelated config paths are requested. The only file path referenced is ~/.openclaw/config.json and a skill file under ~/.openclaw/skills — proportional to the stated goal of optionally persisting behavior.
Persistence & Privilege
The skill does not force 'always: true', but it provides instructions to modify the user's OpenClaw config (systemPrompt prepend and an autoApply example). Writing to the agent's own config to persist a system prompt is coherent for this skill, but it is a persistent change that will affect future agent behavior until the user reverts it.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install quality-boost - After installation, invoke the skill by name or use
/quality-boost - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
质量评估版：质量检测工具、评分标准、A/B测试方法、持续优化建议
Metadata
Frequently Asked Questions
What is Quality Boost - 大模型回答质量提升器?
通过9条严格规则系统评估并量化大模型回答质量，防止幻觉、跑偏、冗长和遗漏，确保准确、简洁、合规的输出。 It is an AI Agent Skill for Claude Code / OpenClaw, with 100 downloads so far.
How do I install Quality Boost - 大模型回答质量提升器?
Run "/install quality-boost" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Quality Boost - 大模型回答质量提升器 free?
Yes, Quality Boost - 大模型回答质量提升器 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Quality Boost - 大模型回答质量提升器 support?
Quality Boost - 大模型回答质量提升器 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Quality Boost - 大模型回答质量提升器?
It is built and maintained by jjx (@jx-76); the current version is v1.0.0.
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