feedback
Submit feedback, bug reports, feature requests, or share SDLC patterns you've discovered. Privacy-first — always asks before scanning.
供给资产档案
编程与开发 Agent
代码审查、仓库分析、测试、CI、GitHub、DevOps 与开发工作流 Skill。
场景
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add BaseInfinity/claude-sdlc-harness --skill feedback
维护状态
新鲜
今天有推送
风险
需审查
许可证不清晰
GitHub 质量
44
58/100 质量 · 65/100 信任
覆盖标签
审查说明
许可证不清晰 · Dependency or permission surface needs review
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
44 个 GitHub Stars
仓库活跃度
44 个 Star,6 个 Fork
维护状态
今天有推送
许可证
未知
安装
npx skills add BaseInfinity/claude-sdlc-harness --skill feedback
安装安全性
标准软件包或运行时安装路径
权限范围
secrets or environment access, shell or command execution
Agent 结果
暂未有 Agent 结果数据
文档
README/SKILL.md 上下文充分
风险摘要
生产前审查
- Repository license is unknown; this creates ambiguity about usage rights for the skill and its content.
- 许可证不清晰
- Low GitHub adoption signal
- Quality score needs review
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 许可证不清晰
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- 工作流自动化 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Move data between tools
适用 Agent
安装决策
- 命令
- npx skills add BaseInfinity/claude-sdlc-harness --skill feedback
- 策略
- 阻止
- 人工审查
- 是
信任与风险
- 信任
- 57/100
- 审计
- 71/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is unknown; this creates ambiguity about usage rights for the skill and its content.
- 暂未有 OpenAgentSkill 使用反馈数据
Agent 安全 v2
31/100 · 避免自动安装
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
高
Shell 或命令执行
Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
高
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- 高风险权限提示:Shell or command execution, Secrets or environment access
- 许可证不清晰
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install baseinfinity-feedbackAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20feedback%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20feedback%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/baseinfinity-feedback/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use feedback in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20feedback%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/baseinfinity-feedback/install
Install command: npx skills add BaseInfinity/claude-sdlc-harness --skill feedback
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/baseinfinity-feedback/install
LLM 文本格式
/api/skills/baseinfinity-feedback/install?format=text
寻找替代方案
/api/skills/search?q=feedback&limit=3
Agent 提示词
Use feedback for this task. Review https://www.openagentskill.com/api/skills/baseinfinity-feedback/install, then install with: npx skills add BaseInfinity/claude-sdlc-harness --skill feedbackRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Agent 决策面板
Needs validation for Workflow automation
在将它加入 Agent 工作流前先人工审查仓库。
栈中角色
需要验证
主要匹配
工作流自动化
信任标签
需要人工审查
安装路径
命令已就绪
适用场景
- 工作流自动化 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 58/100 质量档案
先审查
- Low GitHub adoption signal
- Repository license is unknown; this creates ambiguity about usage rights for the skill and its content.
- 暂未有 OpenAgentSkill 使用反馈数据
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次工作流自动化任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub 采用度
检查44 个 GitHub Stars
Star/Fork 活跃度
检查44 个 Star,6 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过今天有推送
许可证清晰度
检查未知
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- Repository license is unknown; this creates ambiguity about usage rights for the skill and its content.
- 许可证不清晰
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 44 GitHub stars
- Stars/forks activity: 44 stars, 6 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
Choose a stronger alternative or inspect the source manually before any install attempt.
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Verify behavior
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
工作流匹配
加入完整工作流
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
MoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Cua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
概览
--- name: feedback description: Submit feedback, bug reports, feature requests, or share SDLC patterns you've discovered. Privacy-first — always asks before scanning. argument-hint: "[optional: bug | feature | pattern | improvement]" effort: medium --- # Feedback — Community Contribution Loop
## Task $ARGUMENTS
## Purpose
Help users contribute back to the SDLC wizard: bug reports, feature requests, pattern sharing, and SDLC improvements. Privacy-first — never scan without explicit permission.
## Privacy & Permission (MANDATORY)
**NEVER scan the user's repo without explicit consent.** Always ask first:
> "I can scan your SDLC setup to identify what you've customized vs wizard defaults. This helps me create a more specific report. May I scan? (Only file names and SDLC config are read — no source code, secrets, or business logic.)"
**What IS scanned (with permission):** - SDLC.md, TESTING.md, CLAUDE.md structure (not content details) - Hook file names and which hooks are active - Skill names and which skills exist - .claude/settings.json hook configuration (not allowedTools or secrets)
**What is NEVER scanned:** - Source code files - .env files, secrets, credentials - Business logic or proprietary code - Git history or commit messages
## Feedback Types
### Bug Report 1. Ask user to describe the issue 2. With permission, check which wizard version is installed (`SDLC.md` metadata) 3. Check if hooks are properly configured 4. Create a GitHub issue with reproduction steps
### Feature Request 1. Ask user what they want 2. With permission, check if a similar capability already exists in their setup 3. Create a GitHub issue with the request and context
### Pattern Sharing 1. Ask user what pattern they've discovered (custom hook, modified philosophy, test approach) 2. With permission, diff their SDLC setup against wizard defaults to identify customizations 3. Ask: "Which of these customizations worked well for you?" 4. Create a GitHub issue describing the pattern and evidence it works
### SDLC Improvement 1. Ask what could be better about the SDLC workflow 2. With permission, check which SDLC steps they use most/least 3. Create a GitHub issue with the improvement suggestion
## Creating the Issue
Use `gh issue create` on the wizard repo:
```bash gh issue create \ --repo BaseInfinity/claude-sdlc-harness \ --title "[feedback-type]: Brief description" \ --body "$(cat <<'EOF' ## Feedback Type bug / feature / pattern / improvement
## Description [User's description]
## Context - Wizard version: [from SDLC.md metadata] - Setup type: [detected stack if permission granted]
## Evidence (if pattern sharing) [What the user customized and why it worked]
--- Submitted via `/feedback` skill EOF )" ```
## Rules
- **Privacy first** — always ask before scanning anything - **Opt-in only** — if user declines scan, still create the issue with whatever they tell you manually - **No source code** — never include source code snippets in issues - **Be specific** — vague issues waste maintainer time. Ask clarifying questions - **Check for duplicates** — `gh issue list --repo BaseInfinity/claude-sdlc-harness --search "keywords"` before creating
技术详情
- 版本
- 1.0.0
- 许可证
- Unknown
- 最近更新
- 2026年8月23日
- 发布时间
- 2026年8月23日
决策摘要
需要验证
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 feedback 准备的场景化草稿,可手动发布到 X。
A practical pick for a repeatable workflow: feedback: Submit feedback, bug reports, feature requests, or share SDLC patterns you've discovered. Privacy-first — always asks befor... 44 stars https://www.openagentskill.com/skills/baseinfinity-feedback?ref=x
可选:带安装命令的回复
Listing + install path for feedback: https://www.openagentskill.com/skills/baseinfinity-feedback?ref=x Install: npx skills add BaseInfinity/claude-sdlc-harness --skill feedback
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- BaseInfinity
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 BaseInfinity,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/baseinfinity-feedback)
[](https://www.openagentskill.com/skills/baseinfinity-feedback)
[](https://www.openagentskill.com/skills/baseinfinity-feedback/audit)
[](https://www.openagentskill.com/skills/baseinfinity-feedback)作者
BaseInfinity
@baseinfinity
平台适配
健康信号
- GitHub Stars
- 44
- 质量评分
- 35/100
- 最近 GitHub 推送
- 2026年8月23日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 0
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
Do not auto-install
- GitHub 采用度44 个 GitHub Stars检查
- Star/Fork 活跃度44 个 Star,6 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护今天有推送通过
- 许可证清晰度未知检查
- README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
- 依赖与运行时风险command execution surface, credential or environment access检查
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