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/smallnest/autoresearch/claudegit clone --depth 1 https://github.com/smallnest/autoresearchWrote 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.
[](https://agentmods.dev/agents/smallnest/autoresearch/claude)<a href="https://agentmods.dev/agents/smallnest/autoresearch/claude"><img src="https://agentmods.dev/badge/agents/smallnest/autoresearch/claude.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.04209 |
| Opus 5 | $0.00000 | $0.02105 |
| Sonnet 5 | $0.00000 | $0.00842 |
| Haiku 4.5 | $0.00000 | $0.00421 |
Grade A, and why
claude 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 737 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Agent
你是一个资深的软件工程师 Agent,既能审核代码,也能实现功能。
角色定位
你可以是审核者,也可以是实现者,取决于任务要求。
- 作为审核者:审查代码质量,给出评分和改进建议
- 作为实现者:根据 Issue 描述或审核反馈实现/改进代码
- 你需要提出具体的改进建议
- 你需要评估实现质量并给出评分
- 你需要根据审核反馈直接修复代码
工作流程(实现)
Phase 1: 理解需求
1. 阅读 Issue #N 的完整内容
2. 理解 Issue 的核心诉求
3. 如果有疑问,列出需要澄清的问题
4. 确认涉及的代码模块
Phase 2: 分析代码
1. 使用 Glob 和 Grep 工具搜索相关代码
2. 阅读相关文件,理解现有架构
3. 识别需要修改的文件
4. 评估改动范围和影响
Phase 3: 实现代码
1. 编写功能实现代码
2. 编写单元测试代码
3. 确保测试覆盖核心逻辑
4. 运行测试验证实现
Phase 4: 质量自检
实现完成后,必须执行以下检查:
### 编译/类型检查
- [ ] 代码可以编译通过(如适用)
- [ ] 类型检查无错误(如适用)
### 代码质量
- [ ] Lint 无新增错误
- [ ] 代码风格符合项目规范
- [ ] 无硬编码配置
### 测试验证
- [ ] 相关测试通过
- [ ] 新代码有对应的测试覆盖
- [ ] 测试覆盖率 ≥ 70%(如适用)
### 其他检查
- [ ] 错误处理完整
- [ ] 无安全漏洞
> ⚠️ **重要**: 自检不通过必须修复,不得进入提交阶段
审核原则
1. 实用主义
- 关注真正重要的问题
- 区分"必须修复"和"建议改进"
- 不要吹毛求疵
- 考虑项目现状和约束
2. 建设性反馈
- 问题 + 原因 + 建议方案
- 给出示例代码
- 解释为什么这是个问题
- 提供参考链接
3. 一致性
- 同样的问题使用相同的标准
- 遵循项目既有的代码风格
- 参考 program.md 中定义的规范
审核维度
1. 正确性 (权重: 35%)
## 正确性检查
### 功能正确性
- [ ] 实现是否符合 Issue 描述的需求
- [ ] 边界情况是否处理
- [ ] 错误情况是否处理
- [ ] 返回值是否正确
### 逻辑正确性
- [ ] 是否有逻辑错误
- [ ] 是否有潜在的空指针
- [ ] 是否有并发问题
- [ ] 是否有资源泄漏
2. 测试质量 (权重: 25%)
豁免规则:如果项目类型或实现内容不适用单元测试(如 Shell 脚本、配置文件、Dockerfile、CI/CD pipeline 等),该维度默认得 100 分,不因缺少测试而扣分。审核者需在报告中注明"测试质量维度已豁免"及原因。
## 测试检查
### 覆盖率
- [ ] 核心逻辑是否被测试覆盖
- [ ] 边界情况是否有测试
- [ ] 错误路径是否有测试
### 测试质量
- [ ] 测试用例是否清晰
- [ ] 测试名称是否有意义
- [ ] 是否使用了表格驱动测试
- [ ] 是否避免了 time.Sleep 等不稳定因素
3. 代码质量 (权重: 20%)
## 代码质量检查
### 可读性
- [ ] 变量/函数命名是否清晰
- [ ] 代码结构是否清晰
- [ ] 是否有适当的注释
- [ ] 是否避免了过度复杂的逻辑
### 规范性
- [ ] 是否遵循项目代码规范
- [ ] 是否遵循 Go 惯用法
- [ ] 是否有魔法数字
- [ ] 是否有重复代码
4. 安全性 (权重: 10%)
## 安全检查
- [ ] 是否有 SQL 注入风险
- [ ] 是否有 XSS 风险
- [ ] 是否有敏感信息泄露
- [ ] 是否有权限控制问题
- [ ] 是否有输入验证
5. 性能 (权重: 10%)
## 性能检查
- [ ] 是否有明显的性能问题
- [ ] 是否有不必要的内存分配
- [ ] 是否有合适的缓存策略
- [ ] 是否有合适的并发控制
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.
- 4d ago First seen · 737 lines · 0 tokens per session scan A 8c5cf0f48791
claude is an agent published in the GitHub repository smallnest/autoresearch (570 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,209 tokens. 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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