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Agent Skill · 研究检索

openspec-implementation(OpenSpec 实现)

openspec-implementation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

openspec-implementation 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 11,201。

总安装 11,568周安装 482GitHub Stars 8下载 3,856核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openspec-implementation(OpenSpec 实现)
来源仓库:https://github.com/forztf/open-skilled-sdd
仓库路径:skills/openspec-implementation
安装命令:
npx skills add https://github.com/forztf/open-skilled-sdd --skill openspec-implementation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/forztf/open-skilled-sdd --skill openspec-implementation

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

openspec-implementation 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从 open-skilled-sdd 仓库安装该技能。

安装前需确认权限范围、维护状态,以及是否会触发联网或文件操作。建议结合原始 README 继续核验具体实现逻辑和使用方式。

来源仓库内路径:skills/openspec-implementation

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/forztf/open-skilled-sdd --skill openspec-imple…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

openspec-implementation 怎么安装?

在终端执行 npx skills add https://github.com/forztf/open-skilled-sdd --skill openspec-implementation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

openspec-implementation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

openspec-implementation 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

openspec-implementation 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

openspec-implementation 用的人多吗?

公开数据是累计安装 11,568 次,近一周安装 482 次,下载 3,856 次,GitHub 8 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

openspec-implementation 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
openspec-implementation

OpenSpec 实现 · 本页

11,5688接触敏感数据MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Specification Implementation

Systematically implements approved spec proposals by executing tasks sequentially with proper testing and validation.

Quick Start

Implementation follows a read → execute → test → validate cycle for each task:

  1. Read the full proposal and task list
  2. Execute tasks one at a time, in order
  3. Test each completed task
  4. Mark complete only after verification

Critical rule: Use TodoWrite to track progress. Never skip tasks or mark incomplete work as done.

Workflow

Copy this checklist and track progress:

Implementation Progress:
- [ ] Step 1: Load and understand the proposal
- [ ] Step 2: Set up TodoWrite task tracking
- [ ] Step 3: Execute tasks sequentially
- [ ] Step 4: Test and validate each task
- [ ] Step 5: Update living specifications (if applicable)
- [ ] Step 6: Mark proposal as implementation-complete

Step 1: Load and understand the proposal

Before starting, read all context:

# Read the proposal
cat spec/changes/{change-id}/proposal.md

# Read all tasks
cat spec/changes/{change-id}/tasks.md

# Read spec deltas to understand requirements
find spec/changes/{change-id}/specs -name "*.md" -exec cat {} \;

Understand:

  • Why this change is needed (from proposal.md)
  • What the expected outcomes are
  • Which specs will be affected
  • What the acceptance criteria are (from scenarios)

Step 2: Set up TodoWrite task tracking

Load tasks from tasks.md into TodoWrite before starting work:

**Pattern**:
Read tasks.md → Extract numbered list → Create TodoWrite entries

**Example**:
If tasks.md contains:
1. Create database migration
2. Implement API endpoint
3. Add tests
4. Update documentation

Then create TodoWrite with:
- content: "Create database migration", status: "in_progress"
- content: "Implement API endpoint", status: "pending"
- content: "Add tests", status: "pending"
- content: "Update documentation", status: "pending"

Why this matters: TodoWrite gives the user visibility into progress and ensures nothing gets skipped.

Step 3: Execute tasks sequentially

Work through tasks one at a time, in order:

For each task:
1. Mark as "in_progress" in TodoWrite
2. Execute the work
3. Test the work
4. Only mark "completed" after verification

NEVER skip ahead or batch multiple tasks before testing.

Task execution pattern:

## Task: {Task Description}

**What**: [Brief explanation of what this task does]

**Implementation**:
[Code changes, file edits, commands run]

**Verification**:
[How to verify this task is complete]
- [ ] Code compiles/runs
- [ ] Tests pass
- [ ] Meets requirement scenarios

**Status**: ✓ Complete / ✗ Blocked / ⚠ Partial

Step 4: Test and validate each task

After each task, verify it works:

For code tasks:

# Run relevant tests
npm test # or pytest, cargo test, etc.

# Run linter
npm run lint

# Check types (if applicable)
npm run type-check

For database tasks:

# Verify migration runs
npm run db:migrate

# Check schema matches expected
npm run db:schema

For API tasks:

# Test endpoint manually
curl -X POST http://localhost:3000/api/endpoint \
  -H "Content-Type: application/json" \
  -d '{"test": "data"}'

# Or run integration tests
npm run test:integration

Only mark task complete after all verifications pass.

Step 5: Update living specifications (if applicable)

During implementation, if you discover the spec deltas need updates:

  1. Document the discovery in proposal.md or a notes file
  2. Do NOT modify spec deltas during implementation
  3. After implementation completes, consider whether spec needs adjustment

Note: Spec deltas are merged during archiving (Step 6), not during implementation.

Step 6: Mark proposal as implementation-complete

After all tasks are complete:

# Create a completion marker
echo "Implementation completed: $(date)" > spec/changes/{change-id}/IMPLEMENTED

Tell the user:

## Implementation Complete

**Change**: {change-id}
**Tasks completed**: {count}
**Tests**: All passing

**Next step**: Archive this change to merge spec deltas into living documentation.
Say "openspec archive {change-id}" or "archive this change" when ready.

Best Practices

Pattern 1: Blocked Tasks

If a task cannot be completed:

**Mark as blocked**:
- Keep status as "in_progress" (NOT "completed")
- Document the blocker clearly
- Create a new task for resolving the blocker
- Inform the user immediately

**Example**:
Task: "Implement payment processing"
Blocker: "Missing API credentials for payment gateway"
Action: Create new task "Obtain payment gateway credentials"

Pattern 2: Task Dependencies

If tasks have dependencies, verify prerequisites before starting:

# Example: Database migration must run before API code
# Check migration status
npm run db:status

# Only proceed with API task if migration succeeded

Pattern 3: Incremental Testing

Test incrementally, not at the end:

Good:

Task 1: Create model → Test model → Mark complete
Task 2: Create API → Test API → Mark complete
Task 3: Add validation → Test validation → Mark complete

Bad:

Task 1, 2, 3 → Implement all → Test everything → Debug failures

Pattern 4: Living Documentation

Keep README, API docs, and comments up to date as you go:

When adding a new API endpoint, also:
- Update API documentation
- Add example request/response
- Update OpenAPI/Swagger spec
- Add inline code comments

Advanced Topics

Parallel work: If tasks are truly independent (e.g., separate modules), you can work on them in parallel, but each must be tested independently.

Integration points: When task dependencies exist, use integration tests to verify the connection works.

Rollback strategy: For risky changes, create rollback tasks before deploying.

Common Patterns

Pattern 1: Database + API + UI

Typical order:

  1. Database schema/migration
  2. Data access layer (models)
  3. Business logic layer (services)
  4. API endpoints (controllers)
  5. UI integration
  6. End-to-end tests

Pattern 2: Feature Flags

For gradual rollouts:

  1. Implement feature behind flag
  2. Test with flag enabled
  3. Deploy with flag disabled
  4. Enable flag incrementally
  5. Remove flag after full rollout

Pattern 3: Breaking Changes

For API breaking changes:

  1. Implement new version (v2)
  2. Keep old version (v1) working
  3. Add deprecation warnings to v1
  4. Migrate users to v2
  5. Remove v1 (separate task/proposal)

Anti-Patterns to Avoid

Don't:

  • Skip testing individual tasks
  • Mark tasks complete before verification
  • Ignore failing tests ("I'll fix it later")
  • Batch multiple tasks before testing
  • Modify living specs during implementation
  • Work out of order (dependencies break)

Do:

  • Test each task immediately
  • Fix failing tests before proceeding
  • Update TodoWrite in real-time
  • Document blockers clearly
  • Communicate progress to user
  • Keep commits atomic and descriptive

Troubleshooting

Issue: Tests failing after task completion

Solution:

1. Do NOT mark task complete
2. Debug the failure
3. Fix the code
4. Re-run tests
5. Only mark complete after pass

Issue: Task is too large

Solution:

1. Break into subtasks
2. Update TodoWrite with subtasks
3. Complete subtasks sequentially
4. Mark parent task complete after all subtasks done

Issue: Dependency not met

Solution:

1. Pause current task
2. Complete dependency first
3. Test dependency
4. Resume original task

Reference Materials


Token budget: This SKILL.md is approximately 430 lines, under the 500-line recommended limit.

平台分布

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31.03%
按下载量换算1,197

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22.34%
按下载量换算861

Antigravity

19.73%
按下载量换算761

Codex

12.68%
按下载量换算489

Gemini CLI

8.94%
按下载量换算345

windsurf

3.92%
按下载量换算151

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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