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 skills/ranxi2001/zero2agent/content-reviewnpx skills add ranxi2001/zero2Agent --skill content-reviewgit clone --depth 1 https://github.com/ranxi2001/zero2AgentWhat 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 | $0.00112 | $0.00949 |
| Opus 5 | $0.00056 | $0.00475 |
| Sonnet 5 | $0.00022 | $0.00190 |
| Haiku 4.5 | $0.00011 | $0.00095 |
Grade A, and why
content-review 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 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.
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
content-review：文章内容审查
本技能用于对 zero2Agent 项目中的 Markdown 文章进行结构化质量审查。
审查维度（7 项）
1. Frontmatter 完整性
layout: default是否存在title、description、eyebrow是否均已填写eyebrow格式是否正确（如Agent Basic / 05）description长度是否在 10–30 字之间
2. 开篇质量（问题优先）
- 开头是否先说"为什么这个问题值得关注"，而非直接给定义
- 是否引出了读者可能有的误解或常见困惑
- 前 3 段是否能让读者产生"这跟我有关"的感觉
3. 工程视角
- 概念解释是否落脚到"它在系统里扮演什么角色"
- 是否有具体的系统行为描述，而不只是抽象定义
- 是否提到了真实工程场景中的约束或权衡
4. 避免框架崇拜
- 是否出现了对某个框架的无条件推荐
- 每次提到框架时是否说明了"它解决什么问题"和"它的代价"
- 是否有"X 是最佳实践"这类不加论证的断言
5. 暴露真实复杂度
- 是否主动提到了容易踩坑的地方
- 是否区分了"Demo 能跑"和"生产可用"的差距
- 是否对失败场景有基本描述
6. 语言和结构
- 全文是否使用中文（代码块、路径、专有名词除外）
- 段落是否简洁，避免废话和修饰语堆砌
- 是否合理使用了
# ## ###标题层级 - 是否合理使用了代码块（
text或具体语言）展示流程/示例
7. 文末导航
- 是否有"下一篇建议继续看："的链接
- 链接路径是否使用相对路径 +
index.html
输出格式
审查结果按如下结构输出：
## 审查报告：{文章标题}
**整体评分**：✅ 通过 / ⚠️ 需改进 / ❌ 有明显问题
### 1. Frontmatter 完整性
状态：✅ / ⚠️ / ❌
说明：{具体发现，若通过则简写"符合要求"}
### 2. 开篇质量
状态：…
说明：…
### 3. 工程视角
…（以此类推）
---
## 改进建议
{按优先级排列的具体修改建议，每条说明原因}
1. **[高优先级]** {问题描述} → 建议：{具体怎么改}
2. **[中优先级]** …
3. **[低优先级]** …
执行步骤
-
定位文章：如果用户没有指定路径，根据对话上下文判断要审查哪篇文章。如果不明确，询问用户。
-
读取文章：用 Read 工具读取对应的
index.md。 -
逐维度审查：按上述 7 个维度逐一检查，记录发现。
-
输出报告：按输出格式生成报告，改进建议要具体到"第几段、哪句话、怎么改"，不要泛泛而谈。
-
可选：批量审查：如果用户要求审查整个模块，依次读取所有文章并汇总报告，最后给出模块级别的总结（哪些维度普遍偏弱）。
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 First seen · 90 lines · 112 tokens per session scan A 920b3f89824d
content-review is a skill published in the GitHub repository ranxi2001/zero2Agent (367 stars, last pushed 3d ago), licensed MIT. It adds 112 tokens to every session and 949 once invoked, about $0.0006 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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