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test1123123

作者 a6191187 · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ 安全检测通过
147
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install test1-232qe11
功能描述
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
安全使用建议
This skill is internally consistent with its purpose: it creates local .learnings/ logs, emits short hook reminders, detects simple error patterns from tool output, and scaffolds new skills from learnings. Before installing or enabling hooks: 1) Inspect the scripts (activator.sh, error-detector.sh, extract-skill.sh) yourself and ensure you’re comfortable with their behavior; they run locally and will write files. 2) Do not enable the PostToolUse hook unless you trust the environment, because it inspects CLAUDE_TOOL_OUTPUT (potentially sensitive). 3) Follow the skill's own advice: never log secrets, tokens, full private files, or raw transcripts unless you explicitly want them stored. 4) If you enable hooks, prefer project-level or matcher-restricted configuration (only trigger on error-related prompts) to reduce accidental injection of sensitive or noisy content into every session. 5) If unsure, keep the skill user-invocable only (don’t enable automatic hooks) and test in an isolated workspace first.
功能分析
Type: OpenClaw Skill Name: test1-232qe11 Version: 1.0.3 The skill bundle is a legitimate utility designed to help an AI agent track errors, learnings, and feature requests in a structured markdown format. It includes shell scripts (activator.sh, error-detector.sh, extract-skill.sh) that provide automation for logging and scaffolding new skills, with appropriate security checks such as path traversal validation in extract-skill.sh. The instructions in SKILL.md explicitly warn the agent against logging sensitive data like secrets or private keys, and the overall logic is consistent with the stated purpose of self-improvement without any evidence of malicious intent or data exfiltration.
能力评估
Purpose & Capability
The name/description (self-improvement / capture learnings and errors) matches the included artifacts: scripts to remind about learnings (activator.sh), detect command errors (error-detector.sh), and scaffold new skills from learnings (extract-skill.sh). All actions (creating .learnings/, writing markdown logs, scaffolding ./skills/<name>/) are coherent with the stated purpose.
Instruction Scope
SKILL.md stays mostly within scope: it instructs creating .learnings/ logs, wiring optional hooks, and promoting high-value items to workspace files. It explicitly warns not to log secrets and to prefer redaction. One operational note: enabling the hook causes workspace files to be injected into sessions (intentional for OpenClaw) — that can influence model outputs (prompt injection risk) and should be enabled only in trusted environments. Also, error-detector.sh reads the CLAUDE_TOOL_OUTPUT environment variable (expected for the hook) — the doc warns treating that content as sensitive but scripts do not automatically redact outputs beyond pattern matching.
Install Mechanism
There is no packaged install step in the registry entry (instruction-only), and the SKILL.md suggests manual installation or cloning from a GitHub repo. The included scripts are local and do not download or execute remote archives. No high-risk download/extract behavior is present in the provided files.
Credentials
The skill does not declare required environment variables, credentials, or config paths. The only runtime env used in scripts is CLAUDE_TOOL_OUTPUT (used by error-detector.sh), which is reasonable for a PostToolUse hook. No unrelated secrets or cloud credentials are requested.
Persistence & Privilege
always:false (default) and agent-autonomous invocation is allowed (platform default). The skill recommends installing hooks and placing files under ~/.openclaw/workspace which will persist and be injected into sessions — this is part of its design but elevates the impact of any mistaken or malicious workspace content. Enable hooks only if you trust the source and review workspace files before promoting content into global workspace files.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install test1-232qe11
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /test1-232qe11 触发
  4. 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
v1.0.3
Self-Improvement skill rewritten for OpenClaw and continuous project learning. - Major rewrite: Redesigned from sandbox/poetry skill to a logging and improvement workflow for agents and coding assistants. - Added self-contained initialization of `.learnings/` directory and markdown logs: `LEARNINGS.md`, `ERRORS.md`, `FEATURE_REQUESTS.md`. - Provided usage guidance and action tables for logging errors, learnings, and feature requests. - Included OpenClaw integration details, workspace layout, hook setup, and inter-session learning sharing. - Documented promotion of important learnings to workspace-level memory and instructions for other agent environments. - Added clear markdown logging templates for learnings and errors.
v1.0.2
- 新增沙盒测试 Skill,支持以三行打油诗总结用户给出的非技术话题。 - 明确输出固定结构,方便查看和验证 Skill 是否加载。 - 仅用于娱乐或 Skill 演示,不涉及任何充电业务或用户敏感信息。
元数据
Slug test1-232qe11
版本 1.0.3
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

test1123123 是什么?

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 147 次。

如何安装 test1123123?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install test1-232qe11」即可一键安装,无需额外配置。

test1123123 是免费的吗?

是的,test1123123 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

test1123123 支持哪些平台?

test1123123 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 test1123123?

由 a6191187(@a6191187)开发并维护,当前版本 v1.0.3。

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