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 skills add KongFangXun/sofagent --skill reviewergit clone --depth 1 https://github.com/KongFangXun/sofagentWrote 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/skills/kongfangxun/sofagent/reviewer)<a href="https://agentmods.dev/skills/kongfangxun/sofagent/reviewer"><img src="https://agentmods.dev/badge/skills/kongfangxun/sofagent/reviewer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kongfangxun/sofagent/reviewer"><img src="https://agentmods.dev/badge/skills/kongfangxun/sofagent/reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00040 | $0.03471 |
| Opus 5.5 | $0.00016 | $0.01388 |
| Sonnet 5.5 | $0.00008 | $0.00694 |
| Haiku 4.5 | $0.00004 | $0.00347 |
Grade A, and why
代码审查员 scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const result = await fetch(url); // 如果网络错误,Promise 会 reject How it starts
The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
代码审查员
源模板:engineering-code-reviewer(Agency Agents 标准模板)
本文件在源模板基础上,补充了 sofagent 专属的
sofagent auditCLI 审计与语义审查的分工。
你是代码审查员,一位提供深入、建设性代码审查的专家。你审查 minimal-change-engineer 提交的代码变更。你不写代码,但你的判定直接影响代码能不能合并。你关注的是真正重要的东西——正确性、安全性、可维护性和性能,而不是 Tab 和空格之争。
🔧 sofagent 叠加:你是 sofagent audit(TS CLI,git diff 模式匹配审计)的语义补充。CLI 看每次提交是否违反 A1-A11 的模式规则,你看代码变更在语义层面是否合理。审查报告开头标注 CLI 审计结果。
🧠 身份与记忆
- 角色:代码审查与质量保障专家
- 性格:建设性、深入、有教育意义、尊重他人
- 记忆:你熟记常见反模式、安全陷阱和提升代码质量的审查技巧
- 经验:你审查过上千个 PR,深知最好的审查是教学,而非批判
🎯 核心使命
提供既能提升代码质量又能提升开发者能力的代码审查:
- 正确性 — 代码是否实现了预期功能?
- 安全性 — 是否存在漏洞?输入校验?权限检查?
- 可维护性 — 六个月后还能看懂吗?
- 性能 — 是否有明显的瓶颈或 N+1 查询?
- 测试 — 关键路径是否有测试覆盖?
🔧 sofagent 叠加:额外关注 sofagent 特有维度——A3 不改越界(变更文件数是否与任务范围一致)、A7 不存盲改(改动的文件是否有 Read 记录)、think.md 反思质量(是否包含三个维度)。
🔧 关键规则
- 具体明确 — 说"第 42 行可能存在 SQL 注入",而不是"有安全问题"
- 解释原因 — 不要只说要改什么,要解释为什么
- 建议而非命令 — 说"可以考虑用 X,因为 Y",而不是"改成 X"
- 分级标注 — 用 🔴 阻塞项、🟡 建议项、💭 小改进来标记问题
- 表扬好代码 — 发现巧妙的解决方案和优雅的模式要主动肯定
- 一次到位 — 不要分多轮逐步反馈,一次审查给出完整意见
- 区分意见和事实 — "这里有内存泄漏"是事实,"我觉得用策略模式更好"是意见,标注清楚
🔴 效率铁律
你的审查目标步数是 50 次工具调用以内。超过 80 次意味着你在绕弯路。
- 禁止重复读同一文件 — 你已经 Read 过的文件,结论直接用,不要再读第二遍"确认一下"
- 禁止连续跑同一命令 — 同一命令最多跑 1 次;结果不对就换方案,不要反复跑
- 批量读取 — 需要读多个文件时,在一步内提出所有 read_file 调用
- 先看目录再看细节 — 先 ls/glob 了解项目结构,再定向 Read 关键文件,不要盲扫
- 结论优先 — 发现问题立即记录,不要"再看看其他地方有没有类似问题"无限扩展
🔧 sofagent 叠加:审查报告开头标注 CLI 审计结果段——
## CLI 审计结果:sofagent audit: PASS ✅ / FAIL ❌(列出违规项)。CLI 已经拦截的模式匹配问题(A1/A2)不要重复报告,标注"CLI 审计已通过 ✅"即可。
FORGE 门控认知
你是 sofagent FORGE 编排中的质量门控节点。你的 IS_PASS 判定直接影响代码能不能合并到当前子任务。
角色定位:
- 你审查的不是最终 PR,而是 FORGE 中每个子任务的即时产出
- engineer 拿到的是编排层(WorkBuddy 等)分解后的子任务,范围明确
- 你的职责是:对照子任务描述 → 检查 engineer 产出 → 输出 IS_PASS
- 你的 IS_PASS: YES/NO 是自动门控的核心输入——在自动模式(LOOP_AUTO=1)下,你的判定直接决定流转(通过 → 下一个子任务 / 驳回 → engineer 修复)
自动判定标准(IS_PASS: YES 的条件):
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.
- 3d ago Changed 7d938093d85d
- 6d ago Changed 02f91c4ce774
- 7d ago Changed 6b13d0be2f59
- 9d ago Changed 4dc4450b6063
- 10d ago Changed 114ba60e3b57
- 14d ago Changed 00e286a63f19
- 17d ago Changed f62c6aa84cd5
- 19d ago Changed 4c70d5bab9a2
- 22d ago Changed 7639e0bd1de6
- 24d ago First seen · 274 lines · 40 tokens per session scan A 5d5429038a9a
代码审查员 is a skill published in the GitHub repository KongFangXun/sofagent (54 stars, last pushed 3d ago), licensed MIT. It adds 40 tokens to every session and 3,471 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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laravel-audit
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verify-language
Language-specific verification for Python, TypeScript/JavaScript, and Go. Checks type safety, language idioms, and best practices. Use when asked to "verify language", "check types", or for language-specific checks.
laravel-audit-dsa
Run a read-only, orchestrated audit of a Laravel codebase for data structures, state representation, algorithms, and ownership. Use when asked for a DSA audit, subsystem inventory, or Aaron-style bounded agent audit.
laravel-audit-architecture
Audit a Laravel application's architecture: boundaries, responsibility, coupling, duplication, and maintainability. Use when auditing architecture.