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Agent Skill · 研究检索

auto-dev(自动开发)

auto-dev 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。

auto-dev 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,权限为需要联网;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 55,255。

总安装 489周安装 21GitHub Stars 公开资料未说明下载 171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:auto-dev(自动开发)
来源仓库:https://github.com/grnfromdark/autodevskill
仓库路径:skills/auto-dev
安装命令:
npx skills add https://github.com/grnfromdark/autodevskill --skill auto-dev
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/grnfromdark/autodevskill --skill auto-dev

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。

auto-dev 用于查找、检索和筛选相关信息。适用于根据关键词、任务场景或来源线索快速定位候选结果的场景。支持 Codex、Claude、Cursor、Gemini CLI 等宿主环境。通过 npx skills add 命令从指定 GitHub 仓库安装。使用前需确认权限范围、维护状态及是否触发联网或文件操作。

来源仓库内路径:skills/auto-dev

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/grnfromdark/autodevskill --skill auto-dev;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

    它需要需要联网,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

auto-dev 怎么安装?

在终端执行 npx skills add https://github.com/grnfromdark/autodevskill --skill auto-dev。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

auto-dev 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。

auto-dev 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

auto-dev 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。

auto-dev 用的人多吗?

公开数据是累计安装 489 次,近一周安装 21 次,下载 171 次。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。

auto-dev 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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

  • 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

  • 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
auto-dev

自动开发 · 本页

489—需要联网未明确未通过

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

Autodev Pipeline Generator

Overview

This skill generates a complete Autodev automated development pipeline from a structured todolist.md file. The output is a self-contained directory that runs autodev.sh to drive Claude Code through a gated, TDD-enforced, card-by-card development workflow — fully automated, no human in the loop.

Trigger phrases: "帮我生成 xxx 的 autodev 文件", "create autodev for", "generate autodev pipeline"

What is Autodev?

Autodev is a spec-anchored, gate-guarded, TDD-enforced automated development methodology. It:

  1. Splits a task list into sequential Task Cards (one AI session per card)
  2. Enforces TDD 5-step closure per card (RED → GREEN → SPEC → LINT → GATE)
  3. Runs automated gate checks between phases
  4. Auto-repairs test failures (up to 10 retries per card)
  5. Tracks progress in a state file for resumable execution
  6. Independent acceptance verification per card (separate AI verifies ACs)
  7. AI mutual review for high-risk decisions (SPEC-DECISION / AI-REVIEW / AI-GATE 三级)
  8. Decision audit trail (decisions.jsonl) for cross-card traceability
  9. Pipeline completion summary — auto-generates structured report: what was implemented, files changed, decisions made, test results
  10. Bug Hunt phase — multi-round bug scanning + fixing after development: independent auditor finds P0/P1/P2 bugs, developer AI fixes with regression tests, loops until clean (up to 15 rounds)

Checklist

You MUST complete these steps in order:

  1. Read the todolist — understand groups, tasks, phases, dependencies, test commands
  2. Gather project context — identify spec doc, source files, test paths, key constraints
  3. Design the pipeline — map todolist groups → phases → cards, define gate checks
  4. Generate all files — autodev.sh, system_prompt.md, gate_check.sh, cards/*.md, phase_gate.md, state, decisions.jsonl
  5. Verify — dry-run the script, confirm all card files exist, paths resolve correctly

Step 1: Read the Todolist

Read the todolist.md file completely. Extract:

ItemWhat to look for
GroupsTop-level sections (Group 1, Group 2...) — these become Phases
TasksIndividual numbered items within groups — these become Cards (or get merged into Cards)
DependenciesWhich tasks depend on others — determines Card ordering
Execution phasesIf the todolist defines phases (Phase A, B, C...) — use them directly
Test commandsHow to run tests — becomes the test verification step
Key constraintsBackward compatibility, safety rules, P1 fixes — become system_prompt constraints
Source filesWhich files are being modified — becomes Card "read existing code" sections
Spec/design docsReferenced design documents — becomes the "single source of truth"

Step 2: Gather Project Context

Resolve context autonomously (no human confirmation in runtime):

1. What is the spec/design document path?
   → This is the "single source of truth" referenced by all cards

2. What is the test command?
   → e.g., "python3 -m pytest tests/test_foo.py -q" or "npm test"

3. Are there any interactive/manual tests that must be excluded?
   → CRITICAL: Scan the test directories for tests that require interactive input
     (stdin prompts, private keys, manual confirmation, GUI interaction, network
     services that won't be available in CI). These MUST be excluded from the test
     command via --ignore or path filtering.
   → Common patterns to look for:
     - input(), getpass(), prompt(), readline() calls in test files
     - Tests under directories named: live/, manual/, interactive/, e2e/, integration/
     - Tests that connect to external wallets, require API keys at runtime, or need
       running services
   → Add --ignore flags for each such directory/file. The generated test command must
     be fully non-interactive and able to run unattended.

4. What are the core source files being modified?
   → Listed in system_prompt as "project files"

5. What are the project-specific constraints?
   → e.g., "backward compatible", "no breaking changes", "量纲一致性"

6. Where should the Autodev directory live?
   → Convention: Autodev/{project_name}/

7. If anything is unclear, how should ambiguity be resolved?
   → Infer from repo evidence (todolist, spec, tests, git history, existing patterns),
     choose the most conservative backward-compatible option, and record assumptions in
     system_prompt.md ("Assumptions & Defaults"). Do NOT block for user confirmation.

Step 3: Design the Pipeline

Mapping Groups to Phases

Each Group in the todolist becomes a Phase. Each Phase ends with a GATE.

Group 1 → Phase A → GATE:A
Group 2 → Phase B → GATE:B
...
Last Group → Phase N → GATE:FINAL

Mapping Tasks to Cards

Merge small related tasks into single Cards. Keep complex tasks as their own Card. Target: 2-5 tasks per Card, 3-7 Cards per Phase.

Heuristics for merging:

  • Same source file → merge
  • Sequential dependency with no external dependency → merge
  • Total estimated complexity < 1 Claude session → merge

Heuristics for splitting:

  • Different source files → separate
  • Independent testable unit → separate
  • High complexity (e.g., "MC simulation core") → own Card

Card ID scheme

Use {Phase}.{Sequence} format:

  • Alphanumeric phases: A.1, A.2, B.1, C.1
  • Numeric phases: 0.1, 0.2, 1.1, 2.1

Adding verification Cards

Add a verification Card at the end of each Phase (before the GATE) that:

  • Runs all tests for that phase
  • Checks test coverage against the todolist
  • Runs full regression

Gate checks

Design gate_check.sh with:

  • Universal checks (always include):

- Unit tests pass - Full regression tests pass - SPEC-DECISION audit (grep for AI decisions)

  • Project-specific checks (customize):

- Backward compatibility verification - Contract/interface checks - Config consistency - Import validation

Step 4: Generate All Files

Directory Structure

Autodev/{project_name}/
├── autodev.sh              # Main pipeline script
├── system_prompt.md        # AI session prompt
├── gate_check.sh           # Automated gate checks
├── state                   # Progress tracker (empty file)
├── decisions.jsonl         # Decision audit trail (empty file, runtime populated)
├── logs/                   # Runtime logs (empty dir)
├── bug_reports/            # Bug Hunt reports per round (runtime populated)
└── cards/
    ├── {A.1}.md            # Task cards
    ├── {A.2}.md
    ├── ...
    └── phase_gate.md       # Phase gate audit template

summary.md is a runtime artifact. Do NOT pre-create it during scaffolding.

File Templates

Generate each file using the corresponding template reference. Read the template, customize all {PLACEHOLDER} values for the project, and write the complete file.

FileTemplate ReferenceDescription
autodev.shreferences/autodev-template.mdMain pipeline script with card execution, testing, AC verification, Bug Hunt
system_prompt.mdreferences/system-prompt-template.mdAI session prompt with TDD flow, decision protocol, safety rules
cards/{ID}.mdreferences/card-template.mdTask card with context, tasks, acceptance criteria
gate_check.shreferences/gate-check-template.mdAutomated gate checks (tests, audit, coverage)
cards/phase_gate.mdreferences/phase-gate-template.mdPhase gate audit template for AI auditor

IMPORTANT: Do NOT use templates literally. Generate FULL files with all {PLACEHOLDER} values replaced for the specific project. The autodev.sh template shows the *structure* -- the actual output must be a complete, runnable bash script with all functions expanded.

Step 5: Verify

After generating all files:

  1. chmod +x autodev.sh gate_check.sh
  2. Run ./autodev.sh --dry-run — verify all steps listed correctly
  3. Run ./autodev.sh --status — verify display works
  4. Run ./autodev.sh --help — verify help text
  5. Verify all card files exist: ls cards/
  6. Verify state file is empty: cat state
  7. Verify decisions.jsonl exists and is empty: test -f decisions.jsonl && [! -s decisions.jsonl]
  8. Verify summary.md does NOT exist yet (it's auto-generated at runtime)
  9. Verify generated files contain no unresolved placeholders/stubs:

- ! rg -n '\{(PROJECT|SPEC|TODOLIST|TEST_CMD|ALL_STEPS_CONTENT|FIRST_CARD_ID|SOURCE_DIRS|AUTODEV_PATH|AUTODEV_DIR|ENV_PREFIX|ADDITIONAL_FILES|RELEVANT|EXISTING_FILES|ACCEPTANCE_CRITERION|CARD_TITLE|CARD_ID|ALLOWED_PATHS|FORBIDDEN_PATHS|TASKS_WITH)[^}]*\}' autodev.sh gate_check.sh system_prompt.md cards/*.md - Note: {REVIEWER_ROLE} in system_prompt.md is a runtime placeholder (filled by AI during AI-REVIEW execution), not a generation-time placeholder — do NOT flag it. - ! rg -n 'show_help\(\) \{\.\.\. \}|show_status\(\) \{\.\.\. \}' autodev.sh

Key Principles

  1. Todolist is the source of truth — every Card traces back to todolist tasks
  2. P1/P2 fixes become constraints — embed audit corrections into Card acceptance criteria
  3. Test command is sacred — must match what the todolist specifies
  4. Test command must be non-interactive — the generated test command must run fully unattended with no stdin prompts. Scan the test directory for interactive tests (input(), getpass(), wallet prompts, manual e2e) and add --ignore flags to exclude them. A test command that hangs waiting for input will block the entire pipeline.
  5. Backward compatibility — if todolist mentions fallback/compatibility, enforce in gate checks
  6. No gold-plating — Cards only implement what the todolist describes
  7. Each Card is self-contained — reads its own context, doesn't assume prior Card output was read

Generator Self-Check

After generating all files, verify these cross-cutting concerns:

  1. system_prompt.md contains the full 3-level decision protocol (copy from template verbatim)
  2. Reviewer role table is customized for the project (add/remove roles as needed; severity levels BLOCK/WARN/SUGGEST are universal — never modify)
  3. gate_check.sh includes decisions.jsonl audit checks
  4. phase_gate.md includes decision audit as step 5
  5. All fix prompts include: test output verbatim, spec/todolist references, "no extra changes", backward compatibility reminder
  6. decisions.jsonl path flows correctly: config var → build_prompt() injects DECISIONS_FILE: → Card AI reads it from prompt

平台分布

Codex

35.26%
按下载量换算60

Claude

29.05%
按下载量换算50

Cursor

18.81%
按下载量换算32

Gemini CLI

8.62%
按下载量换算15

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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