feedback-loop
Feedback Loop - Collect, analyze, and act on user feedback for continuous agent improvement
Skill by RenLimin
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/renlimin-feedback-loop
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About
Use cases: agent-building
Reviews
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Install scripts
- None found
- Runs as
- Node.js package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/feedback-loop
What's inside
- Skill name
feedback-loop- Description
- Feedback Loop - Collect, analyze, and act on user feedback for continuous agent improvement
- License
- MIT
- Instructions
- 293 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (14)
- SKILL.md
- _meta.json
- cli.js · bin/
- analysis.json · data/
- feedback.json · data/
- suggestions.json · data/
- package.json
- analyzer.js · src/
- collector.js · src/
- index.js · src/
- storage.js · src/
- suggester.js · src/
- tracker.js · src/
- run.js · test/
SKILL.md (first lines)
# Feedback Loop Skill
反馈循环器 - 一个完整的反馈收集、分析和改进跟踪系统,用于 OpenClaw 代理的持续优化。
## 功能概述
### 核心功能
1. **反馈收集(Feedback Collection)**
- 显式反馈:用户主动评分、评论
- 隐式反馈:从交互模式自动检测(完成、重试、放弃等)
- 自动检测:基于会话模式智能识别反馈信号
2. **反馈分析(Feedback Analysis)**
- 聚类分析:按类别、情感、评分分组
- 趋势分析:时间序列趋势检测
- 情感分析:正/负/中性情感分布
- 模式检测:识别 recurring issues、行为模式等
3. **改进建议生成(Improvement Suggestions)**
- 基于分析结果自动生成可执行的改进建议
- 优先级排序(high/medium/low)
- 包含具体 action items 和预期影响
4. **效果跟踪(Effect Tracking)**
- 跟踪建议实施进度
- 测量实施前后的影响
- 生成综合报告
## 安装
```bash
# 通过 ClawHub 安装(推荐)
clawhub install feedback-loop
# 或手动安装
cd ~/.openclaw/workspace/skills/feedback-loop
npm install
npm link
```
## 使用方法
### CLI 命令
#### 1. 提供反馈(provide)
**显式反馈:**
```bash
feedback-loop provide --type explicit --rating 5 --comment "Excellent response!" --category accuracy
```
**隐式反馈:**
```bash
feedback-loop provide --type implicit --signal completion --sessionId sess123
feedback-loop provide --type implicit --signal retry --metrics '{"retryCount": 3}'
```
**参数说明:**
- `--type`: feedback 类型(explicit 或 implicit)
- `--rating`: 评分(1-5, thumbs_up, thumbs_down)
- `--comment`: 可选评论
- `--category`: 反馈类别(accuracy, speed, helpfulness 等)
- `--signal`: 隐式信号类型(completion, retry, abandon, correction 等)
- `--sessionId`: 会话标识符
- `--metrics`: JSON 格式的性能指标
- `--context`: JSON 格式的上下文信息
#### 2. 分析反馈(analyze)
```bash
# 分析最近一周的反馈
feedback-loop analyze --range week
# 只分析显式反馈
feedback-loop analyze --explicit-only
# 分析最近一个月的数据,输出 JSON
feedback-loop analyze --range month --output json
```
**参数说明:**
- `--range`: 时间范围(day, week, month, all)
- `--explicit-only`: 仅分析显式反馈
- `--output`: 输出格式(json, pretty)
#### 3. 生成建议(suggest)
```bash
# 生成最多 5 条建议
feedback-loop suggest --max 5
# 专注于特定类别
feedback-loop suggest --focus quality --max 10
```
**参数说明:**
- `--max`: 最大建议数量
- `--focus`: 专注的类别
- `--output`: 输出格式
#### 4. 跟踪进度(track)
```bash
# 跟踪建议实施进度
feedback-loop track fb_123456 --phase implementation --status in_progress
# 标记为已完成
feedback-loop track fb_123456 --phase deployed --status completed --notes "Successfully implemented"
```
**参数说明:**
- `--phase`: 实施阶段(planning, implementation, testing, deployed)
- `--status`: 状态(in_progress, completed, blocked)
- `--notes`: 附加说明
- `--metrics`: JSON 格式的进度指标
#### 5. 查看统计(stats)From RenLimin/openclaw-workspace, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 9, 2026 (5 months ago)
- Last release
- Apr 4, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/RenLimin/openclaw-workspace
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
feedback-loop skill. Agent Mart. https://agentmart.dev/skills/renlimin-feedback-loop (last updated 2026-10-24)