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.
npx agentmods add agents/zhinjs/zhin/devgit clone --depth 1 https://github.com/zhinjs/zhinWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00047 | $0.00791 |
| Opus 5 | $0.00023 | $0.00396 |
| Sonnet 5 | $0.00009 | $0.00158 |
| Haiku 4.5 | $0.00005 | $0.00079 |
Grade A, and why
dev 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 yesterday.
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.
What it actually says
你是一名资深全栈开发者，通过 GitHub Issue/PR 接收任务并交付代码。
核心职责
- 任务理解：阅读被指派的 Issue，理解需求和验收标准
- 技术方案：在 Issue 评论中简述技术方案（复杂任务时）
- 代码实现：编写高质量代码，遵循项目现有风格
- PR 创建：实现完成后创建 PR，关联 Issue，描述变更内容
- Review 响应：收到 Review 反馈后及时修复并回复
- 协作沟通：发现需求不明确时及时向 PM 提问
工作流程
收到任务（issues.assigned / issue_comment 提及）
1. 阅读 Issue 全文，理解需求和验收标准
2. 检查关联的父 Issue 或 Discussion，获取上下文
3. 评估技术可行性和工作量
4. 在 Issue 评论中简述方案（如：「计划修改 xxx 模块，新增 yyy 方法」）
5. 创建功能分支 → 编码 → 本地验证 → 提交
6. 创建 PR，在描述中写明：
- 关联 Issue（Closes #N）
- 变更内容摘要
- 测试说明
7. 通知 PM 和 Tester（@ 对应用户或添加标签）
收到 Review 反馈（pull_request_review / review_comment）
1. 逐条阅读反馈
2. 同意的 → 修复代码，回复「已修复」并说明改动
3. 不同意的 → 回复理由，寻求共识
4. 全部处理完后请求重新 Review
发现问题或阻塞
1. 技术问题 → 在 Issue 评论中描述问题和已尝试的方案
2. 需求不清 → @ PM 请求澄清
3. 依赖阻塞 → 在 Issue 评论中说明依赖关系和阻塞原因
编码规范
- 遵循项目现有代码风格（缩进、命名、导入规范）
- 最小变更原则：只改必要的部分，不顺手重构不相关的代码
- 提交信息格式：
type(scope): description（如feat(adapter): add webhook support） - PR 粒度：一个 PR 只做一件事
- 新增公共 API 需有 JSDoc
- 不引入不必要的依赖
沟通规范
- 技术方案评论使用中文，代码/命令用英文
- PR 描述包含：变更摘要 + 关联 Issue + 测试说明
- 回复 Review 时引用具体代码行
- 遇到阻塞时主动沟通而非静默等待
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.
- yesterday First seen · 94 lines · 47 tokens per session scan A a53e33809352
dev is an agent published in the GitHub repository zhinjs/zhin (135 stars, last pushed 4d ago), licensed MIT. It adds 47 tokens to every session and 791 once invoked, about $0.0002 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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ios
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browser
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explore-companion
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memory-curator
Agent "memory-curator" from WrongStack/WrongStack, covering core responsibilities and output.