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在 OpenClaw 中安装
/install skill-experience-layer
功能描述
Pre-call experience checking + error-driven learning + layered experience storage. Avoid repeating mistakes, get smarter every time. Pre-integrated with self...
安全使用建议
This skill's core idea is reasonable (store per-skill experience and consult it before calls), but there are contradictory and under-specified instructions you should clear up before installing. Ask the author to: (1) explicitly list which files the skill will read and which it will write (and add them to requires/configPaths), (2) resolve the contradiction about writing to MEMORY.md vs the 'never writes core root files' statement, (3) describe exactly how capability-evolver is triggered and require human approval for high-risk automatic changes, (4) show the backup/rollback implementation, and (5) confirm whether self-improving/corrections.md is considered a skill-owned file. Until those are clarified, run this skill in a sandboxed agent with limited filesystem permissions and do not grant it write access to global root files (MEMORY.md, IDENTITY.md, .env, etc.).
功能分析
Type: OpenClaw Skill
Name: skill-experience-layer
Version: 1.0.0
The skill-experience-layer bundle provides a framework for an AI agent to manage its own learning and memory by logging mistakes and best practices to local JSON files. The instructions in SKILL.md focus on self-improvement workflows, such as updating files in 'memory/experiences/' and 'self-improving/corrections.md', and include explicit safety boundaries that restrict access to sensitive system directories and core configuration files. No malicious code, data exfiltration, or harmful prompt-injection patterns were identified.
能力评估
Purpose & Capability
The described capability (keeping per-skill JSON experience files, reading them before calls, recording mistakes, and invoking an evolver) is coherent with the name and description. However the SKILL.md assumes integration with other skills (self-improving, capability-evolver) without declaring those dependencies or required permissions, which is an omission that reduces clarity.
Instruction Scope
The instructions tell the agent to create and update files (memory/experiences/{skill}.json and self-improving/corrections.md) and to 'promote key lessons to long-term memory in MEMORY.md' — yet the 'Safety Boundaries' claim the skill 'Never touches' core root files and 'reads but does not write' them. That is a direct contradiction. Also 'read before every invocation' and automatic triggering of capability-evolver could cause broad, repeated file reads/writes and autonomous changes without a clear, implementable approval mechanism.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so there is no installer or remote download risk.
Credentials
No environment variables, binaries, or credentials are requested (which matches a local file-based memory approach). That said, the skill implicitly requires filesystem write/read permission for memory/experiences/, self-improving/, and possibly MEMORY.md — these expected file accesses are not explicitly declared in requires.configPaths, and the policy/limits around which files may be modified are inconsistent in the doc.
Persistence & Privilege
always is false (good). Autonomous invocation is allowed (the platform default). The skill claims it will perform automatic evolution and backups and will trigger capability-evolver when mistakes repeat — this could grant the skill effective ongoing influence over agent behavior if the agent follows the instructions, so confirm human-approval steps and backup/rollback mechanisms before enabling automatic changes.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install skill-experience-layer - 安装完成后，直接呼叫该 Skill 的名称或使用
/skill-experience-layer触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of skill-experience-layer:
- Adds per-skill, layered experience memory with pre-call mistake checking and error-driven learning.
- Automatically records mistakes and best practices for each skill to avoid repeating errors.
- Integrates with self-improving and capability-evolver for continuous, automated improvement.
- Designed to fit existing memory hierarchy and supports preventive learning before skill invocation.
- Ensures safe operation: only modifies experience files; never touches core or sensitive system files.
元数据
常见问题
Skill Experience Layer 是什么？
Pre-call experience checking + error-driven learning + layered experience storage. Avoid repeating mistakes, get smarter every time. Pre-integrated with self... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 221 次。
如何安装 Skill Experience Layer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install skill-experience-layer」即可一键安装，无需额外配置。
Skill Experience Layer 是免费的吗？
是的，Skill Experience Layer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Skill Experience Layer 支持哪些平台？
Skill Experience Layer 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（linux, darwin, win32）。
谁开发了 Skill Experience Layer？
由 jilanfang（@jilanfang）开发并维护，当前版本 v1.0.0。
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