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Install in OpenClaw
/install prompt-optimizer-100
Description
基于需求分级，自动重构提示词，从角色、背景、任务、约束、示例五维度优化并智能路由执行，支持多 Agent 并行。
Usage Guidance
This skill appears to do what it says (inject prompt-optimization rules and provide routing templates), but it will modify your OpenClaw workspace by appending rules to ~/.openclaw/workspace/memory/agent-notes.md and suggests restarting the gateway. Before installing: 1) Verify the package source (the repository/homepage in files point to placeholder URLs); prefer installing from a trusted registry entry. 2) Inspect rules/prompt-optimization.md yourself to ensure you agree with the injected behavior. 3) Note the installer makes a timestamped backup of your memory file, but keep your own backup if you rely on custom rules. 4) Confirm Feishu/OpenClaw config and plugin expectations (the skill checks streaming/card settings); no credentials are requested by the skill, but platform-level Feishu plugins may require tokens elsewhere. If you’re unsure about altering agent memory permanently, run the installation steps manually (review the file before appending) rather than using the automatic installer.
Capability Analysis
Type: OpenClaw Skill
Name: prompt-optimizer-100
Version: 1.0.1
The skill bundle is a legitimate prompt optimization system designed to categorize and refine user inputs within the OpenClaw environment. The installation and verification scripts (scripts/install.sh, scripts/verify.sh) perform standard environment checks, backups, and configuration updates without any signs of malicious execution or data exfiltration. The core logic in rules/prompt-optimization.md provides structured instructions for the agent to improve prompt quality based on task complexity (L1-L4) and does not contain any harmful prompt injection or unauthorized access attempts.
Capability Assessment
Purpose & Capability
Name/description (prompt optimization, agent routing) match the included rules, templates, and scripts. The skill injects prompt-optimization rules into OpenClaw memory and uses agent routing/feishu integration as described. Minor inconsistency: top-level registry metadata stated "No install spec — instruction-only", yet the package includes skill.json with an install section and install/verify scripts — this is explainable (packaged install helper present) but worth noting.
Instruction Scope
SKILL.md and scripts explicitly instruct writing/merging rules into ~/.openclaw/workspace/memory/agent-notes.md, backing up the original, and restarting the Gateway. The scripts also query OpenClaw config (channels.feishu.*) and list agents. There are no instructions to read unrelated user files, shell history, or to transmit data to external endpoints. The scope is appropriate for a rule-injection skill, but it does make persistent changes to agent behavior by editing your memory file.
Install Mechanism
No network download of arbitrary binaries is embedded in the package; install.sh and verify.sh are local scripts that call the platform (openclaw) and copy/append a rules file. Manual install suggests git clone from a GitHub URL (placeholder 'your-repo'). The install approach is low-to-moderate risk but depends on trusting the package source; the script does create backups before merging.
Credentials
The skill requests no environment variables or external credentials. skill.json lists dependencies on memory-core and feishu-plugin which align with the described Feishu streaming/cards integration; the scripts only read OpenClaw config keys and agent listings. No unrelated secrets or excessive credentials are requested.
Persistence & Privilege
The skill writes into the user's OpenClaw memory file and suggests restarting the gateway, which gives it a persistent effect on agent behavior. always is false (good). The package can therefore alter future agent responses until the user removes those rules — this is expected for a rules-injection skill but is a material privilege you should accept explicitly.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install prompt-optimizer-100 - After installation, invoke the skill by name or use
/prompt-optimizer-100 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- 修正自动安装命令，slug 由 prompt-optimizer 更新为 prompt-optimizer-100。
- 安装指引中新增备注，明确 clawhub.ai 上 slug 与安装参数需一致。
- 其余功能、规则和文档内容保持不变。
v1.0.0
- Major update: Rebuilt for fully automated, professional-grade prompt optimization with new OpenClaw/Feishu multi-agent support.
- Added detailed Chinese documentation: covers installation, usage scenarios, demand tiering, agent routing, output templates, config requirements, and test/verification instructions.
- Replaced Node.js implementation and script-based approach with a rules-driven workflow (“PromptPilot 工程化 Prompt 优化体系”).
- Introduced "需求分级" (L1–L4) logic, role configuration, and merge mode for incremental rule updates.
- Added self-checklist and validation scripts for deployment reliability.
- Removed previous Node.js and references files; all logic now resides in markdown rule files and simpler test scripts.
Metadata
Frequently Asked Questions
What is prompt-optimizer?
基于需求分级，自动重构提示词，从角色、背景、任务、约束、示例五维度优化并智能路由执行，支持多 Agent 并行。 It is an AI Agent Skill for Claude Code / OpenClaw, with 283 downloads so far.
How do I install prompt-optimizer?
Run "/install prompt-optimizer-100" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is prompt-optimizer free?
Yes, prompt-optimizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does prompt-optimizer support?
prompt-optimizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created prompt-optimizer?
It is built and maintained by liyu9 (@liyu9); the current version is v1.0.1.
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