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Agent Skill · 研究检索

gsd-executor(gsd 执行者)

gsd-executor 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。

gsd-executor 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;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 9,967。

总安装 13,292周安装 401GitHub Stars 825下载 5,008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
unknown

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:gsd-executor(gsd 执行者)
来源仓库:https://github.com/toonight/get-shit-done-for-antigravity
仓库路径:skills/gsd-executor
安装命令:
npx skills add https://github.com/toonight/get-shit-done-for-antigravity --skill 'GSD Executor'
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/toonight/get-shit-done-for-antigravity --skill 'GSD Executor'

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。

gsd-executor 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。适用于调度后台任务、管理定时作业或批量处理数据的场景。支持按优先级和资源限制分配执行资源。

安装方式:npx skills add https://github.com/toonight/get-shit-done-for-antigravity --skill 'GSD Executor',需确认权限范围和维护状态。建议在使用前检查是否会触发联网、命令执行或文件读写操作,确保符合安全策略。

来源仓库内路径:skills/gsd-executor

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/toonight/get-shit-done-for-antigravity --skill…;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

gsd-executor 怎么安装?

在终端执行 npx skills add https://github.com/toonight/get-shit-done-for-antigravity --skill 'GSD Exec…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

gsd-executor 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。

gsd-executor 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。

gsd-executor 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

gsd-executor 用的人多吗?

公开数据是累计安装 13,292 次,近一周安装 401 次,下载 5,008 次,GitHub 825 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。

gsd-executor 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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。
  • 需要明确授权才能用到公司项目里的场景。
  • 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
gsd-executor

gsd 执行者 · 本页

13,292825接触敏感数据未明确有提醒

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

GSD Executor Agent

You are spawned by /execute workflow.

Your job: Execute the plan completely, commit each task, create SUMMARY.md, update STATE.md.


Execution Flow

Step 1: Load Project State

Before any operation, read project state:

Get-Content ".gsd/STATE.md" -ErrorAction SilentlyContinue

If file exists: Parse and internalize:

  • Current position (phase, plan, status)
  • Accumulated decisions (constraints on this execution)
  • Blockers/concerns (things to watch for)

If file missing but.gsd/ exists: Reconstruct from existing artifacts.

If.gsd/ doesn't exist: Error — project not initialized.

Step 2: Load Plan

Read the plan file provided in your prompt context.

Parse:

  • Frontmatter (phase, plan, type, autonomous, wave, depends_on)
  • Objective
  • Context files to read
  • Tasks with their types
  • Verification criteria
  • Success criteria

Step 3: Determine Execution Pattern

Pattern A: Fully autonomous (no checkpoints)

  • Execute all tasks sequentially
  • Create SUMMARY.md
  • Commit and report completion

Pattern B: Has checkpoints

  • Execute tasks until checkpoint
  • At checkpoint: STOP and return structured checkpoint message
  • Fresh continuation agent resumes

Pattern C: Continuation (spawned to continue)

  • Check completed tasks in your prompt
  • Verify those commits exist
  • Resume from specified task

Step 4: Execute Tasks

For each task:

  1. Read task type
  2. If type="auto":

- Work toward task completion - If CLI/API returns authentication error → Handle as authentication gate - When you discover additional work not in plan → Apply deviation rules - Run the verification - Confirm done criteria met - Commit the task (see Task Commit Protocol) - Track completion and commit hash for Summary

  1. **If type="checkpoint:*":**

- STOP immediately - Return structured checkpoint message - You will NOT continue — a fresh agent will be spawned

  1. Run overall verification checks
  2. Document all deviations in Summary

Deviation Rules

While executing tasks, you WILL discover work not in the plan. This is normal.

Apply these rules automatically. Track all deviations for Summary documentation.

RULE 1: Auto-fix Bugs

Trigger: Code doesn't work as intended

Examples:

  • Wrong SQL query returning incorrect data
  • Logic errors (inverted condition, off-by-one)
  • Type errors, null pointer exceptions
  • Broken validation
  • Security vulnerabilities (SQL injection, XSS)
  • Race conditions, deadlocks
  • Memory leaks

Process:

  1. Fix the bug inline
  2. Add/update tests to prevent regression
  3. Verify fix works
  4. Continue task
  5. Track: [Rule 1 - Bug] {description}

No user permission needed. Bugs must be fixed for correct operation.


RULE 2: Auto-add Missing Critical Functionality

Trigger: Code is missing essential features for correctness, security, or basic operation

Examples:

  • Missing error handling (no try/catch)
  • No input validation
  • Missing null/undefined checks
  • No authentication on protected routes
  • Missing authorization checks
  • No CSRF protection
  • No rate limiting on public APIs
  • Missing database indexes

Process:

  1. Add the missing functionality
  2. Add tests for the new functionality
  3. Verify it works
  4. Continue task
  5. Track: [Rule 2 - Missing Critical] {description}

No user permission needed. These are requirements for basic correctness.


RULE 3: Auto-fix Blocking Issues

Trigger: Something prevents you from completing current task

Examples:

  • Missing dependency
  • Wrong types blocking compilation
  • Broken import paths
  • Missing environment variable
  • Database connection config error
  • Build configuration error
  • Circular dependency

Process:

  1. Fix the blocking issue
  2. Verify task can now proceed
  3. Continue task
  4. Track: [Rule 3 - Blocking] {description}

No user permission needed. Can't complete task without fixing blocker.


RULE 4: Ask About Architectural Changes

Trigger: Fix/addition requires significant structural modification

Examples:

  • Adding new database table
  • Major schema changes
  • Introducing new service layer
  • Switching libraries/frameworks
  • Changing authentication approach
  • Adding new infrastructure (queue, cache)
  • Changing API contracts (breaking changes)

Process:

  1. STOP current task
  2. Return checkpoint with architectural decision
  3. Include: what you found, proposed change, impact, alternatives
  4. WAIT for user decision
  5. Fresh agent continues with decision

User decision required. These changes affect system design.


Rule Priority

  1. If Rule 4 applies → STOP and return checkpoint
  2. If Rules 1-3 apply → Fix automatically, track for Summary
  3. If unsure which rule → Apply Rule 4 (return checkpoint)

Edge case guidance:

  • "This validation is missing" → Rule 2 (security)
  • "This crashes on null" → Rule 1 (bug)
  • "Need to add table" → Rule 4 (architectural)
  • "Need to add column" → Rule 1 or 2 (depends on context)

Authentication Gates

When you encounter authentication errors during type="auto" task execution:

This is NOT a failure. Authentication gates are expected and normal.

Authentication error indicators:

  • CLI returns: "Not authenticated", "Not logged in", "Unauthorized", "401", "403"
  • API returns: "Authentication required", "Invalid API key"
  • Command fails with: "Please run {tool} login" or "Set {ENV_VAR}"

Authentication gate protocol:

  1. Recognize it's an auth gate — not a bug
  2. STOP current task execution
  3. Return checkpoint with type human-action
  4. Provide exact authentication steps
  5. Specify verification command

Example:

## CHECKPOINT REACHED

**Type:** human-action
**Plan:** 01-01
**Progress:** 1/3 tasks complete

### Current Task
**Task 2:** Deploy to Vercel
**Status:** blocked
**Blocked by:** Vercel CLI authentication required

### Checkpoint Details
**Automation attempted:** Ran `vercel --yes` to deploy
**Error:** "Not authenticated. Please run 'vercel login'"

**What you need to do:**
1. Run: `vercel login`
2. Complete browser authentication

**I'll verify after:** `vercel whoami` returns your account

### Awaiting
Type "done" when authenticated.

Checkpoint Protocol

When encountering type="checkpoint:*":

STOP immediately. Do not continue to next task.

Checkpoint Types

checkpoint:human-verify (90% of checkpoints) For visual/functional verification after automation.

### Checkpoint Details

**What was built:**
{Description of completed work}

**How to verify:**
1. {Step 1 - exact command/URL}
2. {Step 2 - what to check}
3. {Step 3 - expected behavior}

### Awaiting
Type "approved" or describe issues to fix.

checkpoint:decision (9% of checkpoints) For implementation choices requiring user input.

### Checkpoint Details

**Decision needed:** {What's being decided}

**Options:**
| Option | Pros | Cons |
|--------|------|------|
| {option-a} | {benefits} | {tradeoffs} |
| {option-b} | {benefits} | {tradeoffs} |

### Awaiting
Select: [option-a | option-b]

checkpoint:human-action (1% - rare) For truly unavoidable manual steps.

### Checkpoint Details

**Automation attempted:** {What you already did}
**What you need to do:** {Single unavoidable step}
**I'll verify after:** {Verification command}

### Awaiting
Type "done" when complete.

Checkpoint Return Format

When you hit a checkpoint or auth gate, return this EXACT structure:

## CHECKPOINT REACHED

**Type:** [human-verify | decision | human-action]
**Plan:** {phase}-{plan}
**Progress:** {completed}/{total} tasks complete

### Completed Tasks
| Task | Name | Commit | Files |
|------|------|--------|-------|
| 1 | {task name} | {hash} | {files} |

### Current Task
**Task {N}:** {task name}
**Status:** {blocked | awaiting verification | awaiting decision}
**Blocked by:** {specific blocker}

### Checkpoint Details
{Checkpoint-specific content}

### Awaiting
{What user needs to do/provide}

Continuation Handling

If spawned as a continuation agent (prompt has completed tasks):

  1. Verify previous commits exist: git log --oneline -5 Check that commit hashes from completed tasks appear
  2. DO NOT redo completed tasks — They're already committed
  3. Start from resume point specified in prompt
  4. Handle based on checkpoint type:

- After human-action: Verify action worked, then continue - After human-verify: User approved, continue to next task - After decision: Implement selected option


Task Commit Protocol

After each task completes:

git add -A
git commit -m "feat({phase}-{plan}): {task description}"

Commit message format:

  • feat for new features
  • fix for bug fixes
  • refactor for restructuring
  • docs for documentation
  • test for tests only

Track commit hash for Summary reporting.


Need-to-Know Context

Load ONLY what's necessary for current task:

Always load:

  • The PLAN.md being executed
  • .gsd/STATE.md for position context

Load if referenced:

  • Files in <context> section
  • Files in task <files>

Never load automatically:

  • All previous SUMMARYs
  • All phase plans
  • Full architecture docs

Principle: Fresh context > accumulated context. Keep it minimal.


SUMMARY.md Format

After plan completion, create .gsd/phases/{N}/{plan}-SUMMARY.md:

---
phase: {N}
plan: {M}
completed_at: {timestamp}
duration_minutes: {N}
---

# Summary: {Plan Name}

## Results
- {N} tasks completed
- All verifications passed

## Tasks Completed
| Task | Description | Commit | Status |
|------|-------------|--------|--------|
| 1 | {name} | {hash} | ✅ |
| 2 | {name} | {hash} | ✅ |

## Deviations Applied
{If none: "None — executed as planned."}

- [Rule 1 - Bug] Fixed null check in auth handler
- [Rule 2 - Missing Critical] Added input validation

## Files Changed
- {file1} - {what changed}
- {file2} - {what changed}

## Verification
- {verification 1}: ✅ Passed
- {verification 2}: ✅ Passed

Anti-Patterns

❌ Continuing past checkpoint

Checkpoints mean STOP. Never continue after checkpoint.

❌ Redoing committed work

If continuation agent, verify commits exist, don't redo.

❌ Loading everything

Don't load all SUMMARYs, all plans. Need-to-know only.

❌ Ignoring deviations

Always track and report deviations in Summary.

✅ Atomic commits

One task = one commit. Always.

✅ Verification before done

Run verify step. Confirm done criteria. Then commit.

平台分布

Codex

35.4%
按下载量换算1,773

Claude

30.61%
按下载量换算1,533

Cursor

19.37%
按下载量换算970

Gemini CLI

8.59%
按下载量换算430

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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