autodev

autodev is a skill for Claude Code, Codex from ZhangShenao/harness9. It costs 25 tokens per session (1,094 once invoked), scanned A, original, MIT.

A workflow for turning a feature request into implemented code. It first clarifies the request, writes a specification for approval, then assigns the implementation to a development sub-agent and merges it into the current branch.

In plain words
What is it for?
Use it to clarify feature scope, define acceptance tests, list files, run required checks, create an isolated Git worktree, and coordinate implementation.
Why use it?
It reduces misunderstandings about what to build, how to test it, and which files may change before implementation starts.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions AGENTS.md.

Good fit Use it to clarify feature scope, define acceptance tests, list files, run…

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Install with agentmods
npx agentmods add skills/zhangshenao/harness9/autodev
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ZhangShenao/harness9 --skill autodev
Clone the repo
git clone --depth 1 https://github.com/ZhangShenao/harness9

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for autodev

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhangshenao/harness9/autodev.svg)](https://agentmods.dev/skills/zhangshenao/harness9/autodev)
Your own site
<a href="https://agentmods.dev/skills/zhangshenao/harness9/autodev"><img src="https://agentmods.dev/badge/skills/zhangshenao/harness9/autodev.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,094 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.01094
Opus 5 $0.00013 $0.00547
Sonnet 5 $0.00005 $0.00219
Haiku 4.5 $0.00003 $0.00109

Measured 7d ago against content hash 99b1a15a190b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

autodev scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/autodev/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/autodev — Feature Auto-Development Workflow

当用户输入 /autodev <功能描述> 时,你按以下三个阶段工作。


Phase 1: 需求澄清

首先用 read_file 读取 AGENTS.md,了解项目当前模块、架构和规范(重点:第 4 节项目结构、第 5 节开发流程)。

然后向用户提 2-3 个关键澄清问题,每次只问一个

  1. 功能边界:明确实现什么、不实现什么
  2. 验收标准:什么样的测试证明功能完成(单元测试?eval 用例?)
  3. 影响范围:新增文件为主还是修改已有模块

2-3 轮澄清后直接进入 Phase 2,不要过度追问。


Phase 2: Spec 生成与确认

以如下格式生成并展示 spec:

## Feature Spec: <标题>

### 功能描述
<简洁描述该功能做什么>

### 实现范围
新增文件:
- internal/<pkg>/<file>.go
- internal/<pkg>/<file>_test.go

修改文件:
- cmd/harness9/main.go(如需注册新工具)

### 验收标准
- [ ] go build ./... 通过
- [ ] go test ./... 通过
- [ ] (如涉及 Agent 行为)internal/evals/dataset/ 新增 eval 用例

### 不在范围内
- <明确列出不做的事>

展示完成后,输出以下提示,不要调用任何工具,直接结束本轮回复(TUI 会自动等待用户输入):

请确认 spec(输入「确认」继续实现),或告知需要修改的地方。

如果用户要求修改,更新 spec 后重新展示,再次等待确认。 只有用户明确输入「确认」后才进入 Phase 3。


Phase 3: 前置检查 + 委派实现

3.1 前置检查

依次用 bash 执行以下检查,任一失败则停下来告知用户并等待修复:

# 检查 Go 已安装(项目要求 1.25+)
go version
# 检查 git 可用
git --version

如果 SANDBOX_ENABLED=true,还需检查 Go 镜像是否配置:

echo "SANDBOX_IMAGE=${SANDBOX_IMAGE:-未设置}"
# 若未设置或不含 golang,提示用户在 .env 中添加:
# SANDBOX_IMAGE=golang:1.25-bookworm

3.2 创建 git worktree

从 spec 标题生成 slug(全小写,空格替换为 -,去掉非 ASCII 字母数字字符),然后执行: 示例:"Add WebSocket 支持""add-websocket-"(中文字符去掉)→ 可简化为 "add-websocket-support"

git worktree add .autodev/<slug> -b feature/autodev-<slug>

用 bash 获取绝对路径:

readlink -f .autodev/<slug>

3.3 委派 dev sub-agent

调用 task 工具委派 dev sub-agent:

task("dev", "以下是需要实现的 Feature Spec:\n\n<spec 全文>\n\n工作目录(git worktree 绝对路径):<worktreePath>")

3.4 处理结果

成功(sub-agent 返回 AUTODEV_RESULT: SUCCESS):

从 sub-agent 返回结果中提取 BRANCH: <branch-name>,然后执行合并:

# 将 feature 分支合并到当前分支
git merge feature/autodev-<slug>

若合并成功:

  1. 展示:「✓ 已合并到当前分支:feature/autodev-」
  2. 清理 worktree:git worktree remove .autodev/<slug>

若合并产生冲突:

  1. 展示冲突文件列表
  2. 保留 worktree:「存在合并冲突,worktree 保留在 .autodev/,请手动解决冲突」
  3. 告知用户解决后执行:git worktree remove .autodev/<slug> --force

Read the full file on GitHub · 132 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 132 lines · 25 tokens per session scan A 99b1a15a190b

Subscribe to this mod's changes

autodev is a skill published in the GitHub repository ZhangShenao/harness9 (138 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 1,094 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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