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Xiucheng Self Improving Bwm
by
blueworldmarketing
· GitHub ↗
· v1.0.0
· MIT-0
69
Downloads
0
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1
Active Installs
1
Versions
Install in OpenClaw
/install xiucheng-self-improving-bwm
Description
Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.
Usage Guidance
This package looks like a simple local analyzer/logger, but there are several mismatches you should resolve before installing: (1) Verify the source and owner (homepage/repo and ownerId mismatch). (2) Confirm where it will write files — the code uses /root/.openclaw/workspace (not the ./ defaults in SKILL.md). If you don't want it touching /root, change the workspace path. (3) SKILL.md promises 'automatic analysis after each session' but the code provides only a manual API/CLI — if you expect automatic hooking into your agent lifecycle, you'll need to implement or review that integration. (4) Be aware it will create/append improvement_log.md and can modify SOUL.md (agent personality). Test the skill in an isolated environment or sandbox, inspect and (if needed) patch the workspace path, and review the GitHub repo history/owner before granting it access to any production agent.
Capability Analysis
Type: OpenClaw Skill
Name: xiucheng-self-improving-bwm
Version: 1.0.0
The skill bundle implements a simple feedback logging and analysis system for agent performance improvement. The Python code (self_improving.py) uses basic keyword heuristics to analyze conversation quality and logs insights to a local markdown file within the OpenClaw workspace, with no evidence of network activity, data exfiltration, or malicious instructions.
Capability Assessment
Purpose & Capability
The name/description match a conversation-quality analyzer and the included Python implements analysis, logging, reporting and SOUL.md suggestions — so the core capability aligns. However, SKILL.md claims 'automatic analyzes conversations after each session' while the Python exposes only a manual API/CLI and no session hook; SKILL.md lists default config paths (./improvement_log.md, ./SOUL.md) but the code hardcodes workspace='/root/.openclaw/workspace'. Also the _meta.json ownerId differs from the registry ownerId, which is a metadata mismatch that deserves verification.
Instruction Scope
SKILL.md asserts automatic per-session analysis and integration with a 'memory-manager', but the code does not read conversation history, does not call any agent APIs, and does not integrate with a memory-manager — it only analyzes text passed into analyze_conversation and reads/writes files in the workspace. The code does not access environment variables or network, but it does create/modify improvement_log.md and SOUL.md in the workspace which can change persisted agent personality/data.
Install Mechanism
No install spec and no remote downloads — the skill is instruction-only with a bundled Python file. That lowers supply-chain risk; nothing is fetched from external URLs during install.
Credentials
The skill requests no credentials or env vars, which is proportional. However, it uses a hardcoded workspace path (/root/.openclaw/workspace) and will create/append files there (improvement_log.md) and read/write SOUL.md. While expected for a learning/logging tool, this persistence means it can modify agent personality/configuration files — be aware and check the path and file ownership before use.
Persistence & Privilege
always:false and no special privileges requested. The skill persists data to the agent workspace and can update SOUL.md (personality anchor), which is within the claimed scope but has a broad behavioral impact on future agent responses; it does not modify other skills or global system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install xiucheng-self-improving-bwm - After installation, invoke the skill by name or use
/xiucheng-self-improving-bwm - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the self-improving agent skill.
- Analyzes conversation quality and identifies improvement opportunities.
- Tracks and logs areas for enhancement and insights learned.
- Automatically generates weekly improvement reports.
- Optimizes response strategies based on ongoing analysis.
- Simple installation and integration with memory management and agent personalities.
Metadata
Frequently Asked Questions
What is Xiucheng Self Improving Bwm?
Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies. It is an AI Agent Skill for Claude Code / OpenClaw, with 69 downloads so far.
How do I install Xiucheng Self Improving Bwm?
Run "/install xiucheng-self-improving-bwm" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Xiucheng Self Improving Bwm free?
Yes, Xiucheng Self Improving Bwm is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Xiucheng Self Improving Bwm support?
Xiucheng Self Improving Bwm is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Xiucheng Self Improving Bwm?
It is built and maintained by blueworldmarketing (@blueworldmarketing); the current version is v1.0.0.
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