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# Contributing to PicoClaw
Thank you for your interest in contributing to PicoClaw! This project is a community-driven effort to build the lightweight and versatile personal AI assistant. We welcome contributions of all kinds: bug fixes, features, documentation, translations, and testing.
PicoClaw itself was substantially developed with AI assistance — we embrace this approach and have built our contribution process around it.
## Table of Contents
- [Code of Conduct](#code-of-conduct)
- [Ways to Contribute](#ways-to-contribute)
- [Getting Started](#getting-started)
- [Development Setup](#development-setup)
- [Making Changes](#making-changes)
- [AI-Assisted Contributions](#ai-assisted-contributions)
- [Pull Request Process](#pull-request-process)
- [Branch Strategy](#branch-strategy)
- [Code Review](#code-review)
- [Communication](#communication)
---
## Code of Conduct
We are committed to maintaining a welcoming and respectful community. Be kind, constructive, and assume good faith. Harassment or discrimination of any kind will not be tolerated.
---
## Ways to Contribute
- **Bug reports** — Open an issue using the bug report template.
- **Feature requests** — Open an issue using the feature request template; discuss before implementing.
- **Code** — Fix bugs or implement features. See the workflow below.
- **Documentation** — Improve READMEs, docs, inline comments, or translations.
- **Testing** — Run PicoClaw on new hardware, channels, or LLM providers and report your results.
For substantial new features, please open an issue first to discuss the design before writing code. This prevents wasted effort and ensures alignment with the project's direction.
---
## Getting Started
1. **Fork** the repository on GitHub.
2. **Clone** your fork locally:
```bash
git clone https://github.com/<your-username>/picoclaw.git
cd picoclaw
```
3. Add the upstream remote:
```bash
git remote add upstream https://github.com/sipeed/picoclaw.git
```
---
## Development Setup
### Prerequisites
- Go 1.25 or later
- `make`
### Build
```bash
make build # Build binary (runs go generate first)
make generate # Run go generate only
make check # Full pre-commit check: deps + fmt + vet + test
```
### Running Tests
```bash
make test # Run all tests
go test -run TestName -v ./pkg/session/ # Run a single test
go test -bench=. -benchmem -run='^$' ./... # Run benchmarks
```
### Code Style
```bash
make fmt # Format code
make vet # Static analysis
make lint # Full linter run
```
All CI checks must pass before a PR can be merged. Run `make check` locally before pushing to catch issues early.
---
## Making Changes
### Branching
Always branch off `main` and target `main` in your PR. Never push directly to `main` or any `release/*` branch:
```bash
git checkout main
git pull upstream main
git checkout -b your-feature-branch
```
Use descriptive branch names, e.g. `fix/telegram-timeout`, `feat/ollama-provider`, `docs/contributing-guide`.
### Commits
- Write clear, concise commit messages in English.
- Use the imperative mood: "Add retry logic" not "Added retry logic".
- Reference the related issue when relevant: `Fix session leak (#123)`.
- Keep commits focused. One logical change per commit is preferred.
- For minor cleanups or typo fixes, squash them into a single commit before opening a PR.
- Refer to https://www.conventionalcommits.org/zh-hans/v1.0.0/
### Keeping Up to Date
Rebase your branch onto upstream `main` before opening a PR:
```bash
git fetch upstream
git rebase upstream/main
```
---
## AI-Assisted Contributions
PicoClaw was built with substantial AI assistance, and we fully embrace AI-assisted development. However, contributors must understand their responsibilities when using AI tools.
### Disclosure Is Required
Every PR must disclose AI involvement using the PR template's **🤖 AI Code Generation** section. There are three levels:
| Level | Description |
|---|---|
| 🤖 Fully AI-generated | AI wrote the code; contributor reviewed and validated it |
| 🛠️ Mostly AI-generated | AI produced the draft; contributor made significant modifications |
| 👨‍💻 Mostly Human-written | Contributor led; AI provided suggestions or none at all |
Honest disclosure is expected. There is no stigma attached to any level — what matters is the quality of the contribution.
### You Are Responsible for What You Submit
Using AI to generate code does not reduce your responsibility as the contributor. Before opening a PR with AI-generated code, you must:
- **Read and understand** every line of the generated code.
- **Test it** in a real environment (see the Test Environment section of the PR template).
- **Check for security issues** — AI models can generate subtly insecure code (e.g., path traversal, injection, credential exposure). Review carefully.
- **Verify correctness** — AI-generated logic can be plausible-sounding but wrong. Validate the behavior, not just the syntax.
PRs where it is clear the contributor has not read or tested the AI-generated code will be closed without review.
### AI-Generated Code Quality Standards
AI-generated contributions are held to the **same quality bar** as human-written code:
- It must pass all CI checks (`make check`).
- It must be idiomatic Go and consistent with the existing codebase style.
- It must not introduce unnecessary abstractions, dead code, or over-engineering.
- It must include or update tests where appropriate.
### Security Review
AI-generated code requires extra security scrutiny. Pay special attention to:
- File path handling and sandbox escapes (see commit `244eb0b` for a real example)
- External input validation in channel handlers and tool implementations
- Credential or secret handling
- Command execution (`exec.Command`, shell invocations)
If you are unsure whether a piece of AI-generated code is safe, say so in the PR — reviewers will help.
---
## Pull Request Process
### Before Opening a PR
- [ ] Run `make check` and ensure it passes locally.
- [ ] Fill in the PR template completely, including the AI disclosure section.
- [ ] Link any related issue(s) in the PR description.
- [ ] Keep the PR focused. Avoid bundling unrelated changes together.
### PR Template Sections
The PR template asks for:
- **Description** — What does this change do and why?
- **Type of Change** — Bug fix, feature, docs, or refactor.
- **AI Code Generation** — Disclosure of AI involvement (required).
- **Related Issue** — Link to the issue this addresses.
- **Technical Context** — Reference URLs and reasoning (skip for pure docs PRs).
- **Test Environment** — Hardware, OS, model/provider, and channels used for testing.
- **Evidence** — Optional logs or screenshots demonstrating the change works.
- **Checklist** — Self-review confirmation.
### PR Size
Prefer small, reviewable PRs. A PR that changes 200 lines across 5 files is much easier to review than one that changes 2000 lines across 30 files. If your feature is large, consider splitting it into a series of smaller, logically complete PRs.
---
## Branch Strategy
### Long-Lived Branches
- **`main`** — the active development branch. All feature PRs target `main`. The branch is protected: direct pushes are not permitted, and at least one maintainer approval is required before merging.
- **`release/x.y`** — stable release branches, cut from `main` when a version is ready to ship. These branches are more strictly protected than `main`.
### Requirements to Merge into `main`
A PR can only be merged when all of the following are satisfied:
1. **CI passes** — All GitHub Actions workflows (lint, test, build) must be green.
2. **Reviewer approval** — At least one maintainer has approved the PR.
3. **No unresolved review comments** — All review threads must be resolved.
4. **PR template is complete** — Including AI disclosure and test environment.
### Who Can Merge
Only maintainers can merge PRs. Contributors cannot merge their own PRs, even if they have write access.
### Merge Strategy
We use **squash merge** for most PRs to keep the `main` history clean and readable. Each merged PR becomes a single commit referencing the PR number, e.g.:
```
feat: Add Ollama provider support (#491)
```
If a PR consists of multiple independent, well-separated commits that tell a clear story, a regular merge may be used at the maintainer's discretion.
### Release Branches
When a version is ready, maintainers cut a `release/x.y` branch from `main`. After that point:
- **New features are not backported.** The release branch receives no new functionality after it is cut.
- **Security fixes and critical bug fixes are cherry-picked.** If a fix in `main` qualifies (security vulnerability, data loss, crash), maintainers will cherry-pick the relevant commit(s) onto the affected `release/x.y` branch and issue a patch release.
If you believe a fix in `main` should be backported to a release branch, note it in the PR description or open a separate issue. The decision rests with the maintainers.
Release branches have stricter protections than `main` and are never directly pushed to under any circumstances.
---
## Code Review
### For Contributors
- Respond to review comments within a reasonable time. If you need more time, say so.
- When you update a PR in response to feedback, briefly note what changed (e.g., "Updated to use `sync.RWMutex` as suggested").
- If you disagree with feedback, engage respectfully. Explain your reasoning; reviewers can be wrong too.
- Do not force-push after a review has started — it makes it harder for reviewers to see what changed. Use additional commits instead; the maintainer will squash on merge.
### For Reviewers
Review for:
1. **Correctness** — Does the code do what it claims? Are there edge cases?
2. **Security** — Especially for AI-generated code, tool implementations, and channel handlers.
3. **Architecture** — Is the approach consistent with the existing design?
4. **Simplicity** — Is there a simpler solution? Does this add unnecessary complexity?
5. **Tests** — Are the changes covered by tests? Are existing tests still meaningful?
Be constructive and specific. "This could have a race condition if two goroutines call this concurrently — consider using a mutex here" is better than "this looks wrong".
### Reviewer List
Once your PR is submitted, you can reach out to the assigned reviewers listed in the following table.
|Function| Reviewer|
|--- |--- |
|Provider|@yinwm |
|Channel |@yinwm |
|Agent |@lxowalle|
|Tools |@lxowalle|
|SKill ||
|MCP ||
|Optimization|@lxowalle|
|Security||
|AI CI |@imguoguo|
|UX ||
|Document||
---
## Communication
- **GitHub Issues** — Bug reports, feature requests, design discussions.
- **GitHub Discussions** — General questions, ideas, community conversation.
- **Pull Request comments** — Code-specific feedback.
- **Wechat&Discord** — We will invite you when you have at least one merged PR
When in doubt, open an issue before writing code. It costs little and prevents wasted effort.
---
## A Note on the Project's AI-Driven Origin
PicoClaw's architecture was substantially designed and implemented with AI assistance, guided by human oversight. If you find something that looks odd or over-engineered, it may be an artifact of that process — opening an issue to discuss it is always welcome.
We believe AI-assisted development done responsibly produces great results. We also believe humans must remain accountable for what they ship. These two beliefs are not in conflict.
Thank you for contributing!

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# 参与贡献 PicoClaw
感谢你对 PicoClaw 的关注!本项目是一个社区驱动的开源项目,目标是构建 轻量灵活,人人可用 的个人AI助手。我们欢迎一切形式的贡献Bug 修复、新功能、文档、翻译和测试。
PicoClaw 本身在很大程度上是借助 AI 辅助开发的——我们拥抱这种方式,并围绕它构建了贡献流程。
## 目录
- [行为准则](#行为准则)
- [贡献方式](#贡献方式)
- [快速开始](#快速开始)
- [开发环境配置](#开发环境配置)
- [提交修改](#提交修改)
- [AI 辅助贡献](#ai-辅助贡献)
- [Pull Request 流程](#pull-request-流程)
- [分支策略](#分支策略)
- [代码审查](#代码审查)
- [沟通渠道](#沟通渠道)
---
## 行为准则
我们致力于维护一个友好、互相尊重的社区环境。请保持善意、建设性的态度,并善意地理解他人。任何形式的骚扰或歧视均不被接受。
---
## 贡献方式
- **Bug 反馈** — 使用 Bug 报告模板提交 Issue。
- **功能建议** — 使用功能请求模板提交 Issue建议在开始实现前先进行讨论。
- **代码贡献** — 修复 Bug 或实现新功能,参见下方工作流程。
- **文档改进** — 完善 README、文档、代码注释或翻译。
- **测试与验证** — 在新硬件、新渠道或新 LLM 提供商上运行 PicoClaw 并反馈结果。
对于较大的新功能,请先提交 Issue 讨论设计方案,再动手写代码。这能避免无效投入,也确保与项目方向保持一致。
---
## 快速开始
1. 在 GitHub 上 **Fork** 本仓库。
2. 将你的 Fork **克隆**到本地:
```bash
git clone https://github.com/<你的用户名>/picoclaw.git
cd picoclaw
```
3. 添加上游远程仓库:
```bash
git remote add upstream https://github.com/sipeed/picoclaw.git
```
---
## 开发环境配置
### 前置依赖
- Go 1.25 或更高版本
- `make`
### 构建
```bash
make build # 构建二进制文件(会先执行 go generate
make generate # 仅执行 go generate
make check # 完整的提交前检查deps + fmt + vet + test
```
### 运行测试
```bash
make test # 运行所有测试
go test -run TestName -v ./pkg/session/ # 运行单个测试
go test -bench=. -benchmem -run='^$' ./... # 运行基准测试
```
### 代码风格
```bash
make fmt # 格式化代码
make vet # 静态分析
make lint # 完整的 lint 检查
```
所有 CI 检查通过后 PR 才能被合并。推送代码前请先在本地运行 `make check`,提前发现问题。
---
## 提交修改
### 分支管理
始终从 `main` 分支切出,并在 PR 中以 `main` 为目标分支。不要直接向 `main` 或任何 `release/*` 分支推送代码:
```bash
git checkout main
git pull upstream main
git checkout -b 你的功能分支名
```
请使用描述性的分支名,例如:`fix/telegram-timeout``feat/ollama-provider``docs/contributing-guide`
### Commit 规范
- 使用英文撰写清晰、简洁的 commit 信息。
- 使用祈使句:写 "Add retry logic",而不是 "Added retry logic"。
- 有关联 Issue 时请引用:`Fix session leak (#123)`
- 保持 commit 专注,每个 commit 只做一件事。
- 对于小的清理或拼写修正,提 PR 前请将其合并为一个 commit。
- 按照 https://www.conventionalcommits.org/zh-hans/v1.0.0/ 规范来撰写
### 保持与上游同步
提 PR 前,请将你的分支变基到上游 `main`
```bash
git fetch upstream
git rebase upstream/main
```
---
## AI 辅助贡献
PicoClaw 在很大程度上借助 AI 辅助开发,我们完全拥抱这种开发方式。但贡献者必须清楚地了解自己在使用 AI 工具时所承担的责任。
### 必须披露 AI 使用情况
每个 PR 都必须通过 PR 模板中的 **🤖 AI 代码生成** 部分披露 AI 参与情况,共分三个级别:
| 级别 | 说明 |
|---|---|
| 🤖 完全由 AI 生成 | AI 编写代码,贡献者负责审查和验证 |
| 🛠️ 主要由 AI 生成 | AI 起草,贡献者做了较大修改 |
| 👨‍💻 主要由人工编写 | 贡献者主导AI 仅提供辅助或未使用 AI |
我们期望你诚实填写。三种级别均可接受,没有任何歧视——重要的是贡献的质量。
### 你对提交的代码负全责
使用 AI 生成代码并不能减轻你作为贡献者的责任。在提交含有 AI 生成代码的 PR 之前,你必须:
- **逐行阅读并理解**生成的代码。
- **在真实环境中测试**(参见 PR 模板中的测试环境部分)。
- **检查安全问题** — AI 模型可能生成存在安全隐患的代码(如路径穿越、注入攻击、凭据泄露等),请仔细审查。
- **验证正确性** — AI 生成的逻辑可能听起来合理但实际上是错误的,请验证行为,而不仅仅是语法。
如果明显可以看出贡献者没有阅读或测试 AI 生成的代码,该 PR 将被直接关闭,不予审查。
### AI 生成代码的质量标准
AI 生成的代码与人工编写的代码遵循**相同的质量要求**
- 必须通过所有 CI 检查(`make check`)。
- 必须符合 Go 惯用写法,并与现有代码库的风格保持一致。
- 不得引入不必要的抽象、死代码或过度设计。
- 须在适当的地方包含或更新测试。
### 安全审查
AI 生成的代码需要格外仔细的安全审查。请特别关注以下方面:
- 文件路径处理与沙箱逃逸(项目历史中的 commit `244eb0b` 就是真实案例)
- channel 处理器和 tool 实现中的外部输入校验
- 凭据或密钥的处理
- 命令执行(`exec.Command`、shell 调用等)
如果你不确定某段 AI 生成代码是否安全,请在 PR 中说明——审查者会帮助判断。
---
## Pull Request 流程
### 提 PR 前的检查
- [ ] 在本地运行 `make check` 并确认通过。
- [ ] 完整填写 PR 模板,包括 AI 披露部分。
- [ ] 在 PR 描述中关联相关 Issue。
- [ ] 保持 PR 专注,避免将不相关的修改混在一起。
### PR 模板各部分说明
PR 模板要求填写:
- **描述** — 这个改动做了什么,为什么要做?
- **变更类型** — Bug 修复、新功能、文档或重构。
- **AI 代码生成** — AI 参与情况披露(必填)。
- **关联 Issue** — 此 PR 解决的 Issue 链接。
- **技术背景** — 参考链接和设计理由(纯文档类 PR 可跳过)。
- **测试环境** — 用于测试的硬件、操作系统、模型/提供商和渠道。
- **验证证据** — 可选的日志或截图,用于证明改动有效。
- **检查清单** — 自我审查确认。
### PR 规模
请尽量提交小而易于审查的 PR。一个涉及 5 个文件共 200 行改动的 PR远比涉及 30 个文件共 2000 行改动的 PR 容易审查。如果你的功能较大,可以考虑将其拆分为一系列逻辑完整的小 PR。
---
## 分支策略
### 长期分支
- **`main`** — 活跃开发分支。所有功能 PR 均以 `main` 为目标。该分支受保护:禁止直接推送,合并前必须获得至少一名维护者的批准。
- **`release/x.y`** — 稳定发布分支,在某个版本准备发布时从 `main` 切出。这些分支的保护级别高于 `main`
### 合并到 `main` 的前提条件
PR 必须同时满足以下所有条件,才能被合并:
1. **CI 全部通过** — 所有 GitHub Actions 工作流lint、test、build均为绿色。
2. **获得审查者批准** — 至少一名维护者已批准该 PR。
3. **无未解决的审查意见** — 所有审查讨论线程均已关闭。
4. **PR 模板填写完整** — 包括 AI 披露和测试环境信息。
### 谁可以合并
只有维护者才能合并 PR。贡献者不能合并自己的 PR即使拥有写权限也不行。
### 合并策略
为保持 `main` 历史清晰可读,我们对大多数 PR 使用 **Squash Merge**。每个合并的 PR 变为一个包含 PR 编号的单独 commit例如
```
feat: Add Ollama provider support (#491)
```
如果一个 PR 包含多个独立、结构清晰、能讲述完整故事的 commit维护者可视情况使用普通 merge。
### Release 分支
当某个版本准备就绪时,维护者会从 `main` 切出 `release/x.y` 分支。此后:
- **新功能不会被回溯backport。** Release 分支切出后,不再接收任何新功能。
- **安全修复和关键 Bug 修复会被 cherry-pick 进来。**`main` 上的某个修复属于安全漏洞、数据丢失或崩溃类问题,维护者会将相关 commit cherry-pick 到受影响的 `release/x.y` 分支,并发布补丁版本。
如果你认为 `main` 上的某个修复应该被回溯到某个 release 分支,请在 PR 描述中注明,或单独开一个 Issue 说明。最终决定由维护者做出。
Release 分支的保护级别高于 `main`,在任何情况下均不允许直接推送。
---
## 代码审查
### 对贡献者的建议
- 在合理时间内回复审查意见。如果需要更多时间,请告知。
- 更新 PR 以响应反馈时,简要说明改动内容(例如:"按建议改用了 `sync.RWMutex`")。
- 如果你不同意某条反馈,请礼貌地阐述你的理由——审查者也可能有判断失误的时候。
- 审查开始后请不要 force push——这会让审查者难以追踪变化。请使用额外的 commit维护者在合并时会进行 squash。
### 对审查者的建议
审查重点:
1. **正确性** — 代码是否实现了其声称的功能?是否存在边界情况?
2. **安全性** — 对 AI 生成代码、tool 实现和 channel 处理器尤其需要关注。
3. **架构** — 实现方式是否与现有设计一致?
4. **简洁性** — 是否有更简单的方案?是否引入了不必要的复杂度?
5. **测试** — 改动是否有测试覆盖?现有测试是否仍然有意义?
请给出建设性且具体的反馈。"如果两个 goroutine 同时调用这个函数可能会有竞态条件,建议在这里加一个 mutex" 远比 "这里看起来有问题" 更有帮助。
### 审查者列表
提交对应PR后可以参考下表联系对应的审查人员沟通
|Function| Reviewer|
|--- |--- |
|Provider|@yinwm |
|Channel |@yinwm |
|Agent |@lxowalle|
|Tools |@lxowalle|
|SKill ||
|MCP ||
|Optimization|@lxowalle|
|Security||
|AI CI |@imguoguo|
|UX ||
|Document||
---
## 沟通渠道
- **GitHub Issues** — Bug 报告、功能建议、设计讨论。
- **GitHub Discussions** — 一般性问题、想法交流、社区讨论。
- **Pull Request 评论** — 与具体代码相关的反馈。
- **Wechat&Discord** — 当你有至少一个已合并的PR后我们会邀请你加入开发者交流群
有疑问时,请先开 Issue 讨论,再动手写代码。这几乎没有成本,却能避免大量无效投入。
---
## 关于本项目的 AI 驱动起源
PicoClaw 的架构在人工监督下,经由 AI 辅助完成了大量设计和实现工作。如果你发现某处看起来奇怪或过度设计,这可能是该过程留下的痕迹——欢迎提 Issue 讨论。
我们相信,负责任地使用 AI 辅助开发能产生优秀的成果。我们同样相信,人类必须对自己提交的内容负责。这两点并不矛盾。
感谢你的贡献!

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