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.
git clone --depth 1 https://github.com/wordflowlab/novel-writerWrote 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/commands/wordflowlab/novel-writer/authenticity-audit)<a href="https://agentmods.dev/commands/wordflowlab/novel-writer/authenticity-audit"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/authenticity-audit/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/commands/wordflowlab/novel-writer/authenticity-audit"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/authenticity-audit.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 | $0.00034 | $0.00531 |
| Opus 5.5 | $0.00014 | $0.00212 |
| Sonnet 5.5 | $0.00007 | $0.00106 |
| Haiku 4.5 | $0.00003 | $0.00053 |
Grade A, and why
authenticity-audit 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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- authenticity-audit — 100% identical, 0 lines differ
What it actually says
人味自查与改写
目标：帮助作者发现文本中的模板化痕迹、空话与节奏单一的问题，并提供面向行/段落的微调建议。强调“更像你写的”，而非追求任何形式的检测规避
使用方法
/authenticity-audit
[粘贴需要检查的文本]
检查维度（给出计数与示例）
若存在 spec/knowledge/audit-config.json，以其中的连接词、空话清单、句长阈值为准；否则使用内置默认规则
- 模板连接词密度：如“首先、其次、再者、总而言之”等的出现次数与替换建议
- 空泛表达：如“在某种程度、众所周知、众多领域”等，给出更具体的改写
- 句长方差：统计平均句长与方差，标记“连续长句”或“连续短句”的片段，并给出节奏打断/合并建议
- 陈词滥调：识别可替换的套话，提供两到三种更贴近内容的改写版本
- 抽象过载：提示哪些段落抽象名词密度过高，并建议补充可感知的细节
- 人设一致性：对比
.specify/memory/personal-voice.md中的口头禅/词汇，标记缺失的“个体信号”并建议自然融入点
改写输出
- 分段输出：原句 → 问题简述 → 微调版 → 更大胆的个人化版本
- 控制幅度：优先微调，尽量保留原意；仅在必要时提供更大幅度的改写
- 体例保持：不改变原文的文体与叙述角度，除非用户明确请求
末尾建议卡片
- 给出 5-8 条“下次写作时可直接使用”的个体化提示，来源于本次文本暴露的问题
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.
- 2mo ago First seen · 38 lines · 34 tokens per session scan A b60d4ef37a11
authenticity-audit is a command published in the GitHub repository wordflowlab/novel-writer (957 stars, last pushed 1y ago), licensed MIT. It adds 34 tokens to every session and 531 once invoked, about $0.0001 per session on Opus 5.5. 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.
authenticity-audit compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| authenticity-auditwordflowlab/novel-writer | Command | 957 | 1y ago | MIT | A | 34 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |