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 gogoingai/wenqu-skills --skill wenqu-reviewgit clone --depth 1 https://github.com/gogoingai/wenqu-skillsWrote 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/gogoingai/wenqu-skills/wenqu-review)<a href="https://agentmods.dev/skills/gogoingai/wenqu-skills/wenqu-review"><img src="https://agentmods.dev/badge/skills/gogoingai/wenqu-skills/wenqu-review/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/gogoingai/wenqu-skills/wenqu-review"><img src="https://agentmods.dev/badge/skills/gogoingai/wenqu-skills/wenqu-review.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00109 | $0.01776 |
| Opus 5 | $0.00055 | $0.00888 |
| Sonnet 5 | $0.00022 | $0.00355 |
| Haiku 4.5 | $0.00011 | $0.00178 |
Grade A, and why
wenqu-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 12d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
文章审查 Skill
用户输入工具
当本技能需要用户确认选择、补充必要信息或授权有副作用的操作时：
- 优先使用当前运行时提供的原生用户输入工具，例如
AskUserQuestion、request_user_input、clarify、ask_user或等价能力。 - 若没有此类工具，使用带编号或字母选项的文本问答。
- 同一决策阶段中彼此独立的问题可合并提问；后一个问题依赖前一回答时，按优先级逐个问。
- 已由用户当前指令、调用方或文章偏好提供的信息，不重复询问。
- 文中出现的具体工具名均为示例；应替换为当前运行时的等价能力。
两种被使用的方式
审查在一篇文章的生命周期里会被频繁触发，每次只跑一小段（每改一节可能就要过一次语言审查），也会被单独整体触发，两种场景对是否要跑完整一轮 Skill 调用的要求不同：
| 场景 | 方式 |
|---|---|
| 用户直接说"审查这篇文章"、"看看有没有问题" | 独立触发，走完整流程（见下方「审查流程」） |
| 其他写作技能（如 wenqu-write）在写作、修改过程中反复用到 R5、R1、R2、R3 | 不要每次都用 Skill 工具发起一轮新调用——直接用 Read 工具读取本技能 references/ 下对应的规则文件（如 r1-english.md），内联执行检查，把结果并入调用方流程 |
工具等价说明："
Skill工具"是 Claude Code 的跨技能调用机制名。其他 agent 没有这种机制时，按上表第二种方式处理——直接 Read 本技能文件内联执行。
审查流程
先查 references/index.md（核心规则、执行顺序、报告格式）
| 步骤 | 文件 | 内容 |
|---|---|---|
| R0 | references/r0-factcheck.md |
来源、真实性与评测叙事核查（对照源码，揪出编造、写错或错配的内容） |
| R5 | references/r5-coherence.md |
连贯性与清晰度 |
| R1 | references/r1-english.md |
英文术语检查（依赖 references/language/glossary.md） |
| R2 | references/r2-translation.md |
翻译腔审查 |
| R3 | references/r3-ai-patterns.md |
模式化与空泛表达（依赖 references/language/humanizer-zh.md） |
| R4 | references/r4-structure.md |
结构自检（默认跳过，用户要求"完整审查"时才跑） |
| R6 | references/r6-style-and-narrative-fit.md |
文体与叙事契合（默认跳过，用户要求"完整审查"时才跑） |
| R7 | references/r7-change-closure.md |
变更闭环与全篇一致性（完整审查或实质改动收尾时跑） |
默认自动模式：触发时按 R0→R5→R1→R2→R3 一次跑完，发现问题直接修，全部完成后统一汇报。用户说"手动审查"时才切换为每步等确认。
用户说"完整审查"、"提交前检查"或"这轮都改完了吗"时，按 R0→R5→R1→R2→R3→R4→R6→R7 执行。R7 必须放在其余问题修复之后，检查这些修改是否在全文、图文和交叉引用中都已同步。
依赖
references/language/glossary.md、references/language/humanizer-zh.md：本技能自带术语表和 AI 写作模式库，可独立使用- 若同时安装了 wenqu-translate：R2 和它的翻译方法论共享同一套欧化语言判断标准，由它在翻译时调用；没装 wenqu-translate 不影响 R2 独立运行
- 若同时安装了 wenqu-write：R4 会交叉参考它的写作禁止事项清单，增强判断依据，但不是硬依赖——没装也能正常审查
- 若同时安装了 wenqu-write：R6 优先读取文章存储中的读者画像、背景、范围锁定等上下文，判断当前文章的题材与写作目标；上下文不足时不得擅自把某种文体判错。
- 若同时安装了 wenqu-write：R7 优先读取本轮确认过的改动清单及文章存储中的
references/change-impact.md；两者都不存在时才以当前git diff为线索，并说明覆盖范围受限。 - 若同时安装了 wenqu-write：R0 读取
materials/index.md的来源类型、冲突裁决与评测设计；R4 读取skeleton.md与status.md判断是否偏离确认范围；相关文件缺失时明确说明检查边界，不得假装已核对。
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/index.md 3.5 KB
- references/language/glossary.md 5.5 KB
- references/language/humanizer-zh.md 19 KB
- references/r0-factcheck.md 4.4 KB
- references/r1-english.md 1.9 KB
- references/r2-translation.md 1.6 KB
- references/r3-ai-patterns.md 2.6 KB
- references/r4-structure.md 3.8 KB
- references/r5-coherence.md 4.5 KB
- references/r6-style-and-narrative-fit.md 4.4 KB
- references/r7-change-closure.md 3.4 KB
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.
- 12d ago First seen · 87 lines · 109 tokens per session scan A a9ea107c98f9
wenqu-review is a skill published in the GitHub repository gogoingai/wenqu-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 109 tokens to every session and 1,776 once invoked, about $0.0005 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 2026-08-31.
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