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 QQQingyu/story-snack --skill perplexity-improvergit clone --depth 1 https://github.com/QQQingyu/story-snackWrote 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/qqqingyu/story-snack/perplexity-improver)<a href="https://agentmods.dev/skills/qqqingyu/story-snack/perplexity-improver"><img src="https://agentmods.dev/badge/skills/qqqingyu/story-snack/perplexity-improver/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/qqqingyu/story-snack/perplexity-improver"><img src="https://agentmods.dev/badge/skills/qqqingyu/story-snack/perplexity-improver.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 | $0.00021 | $0.00522 |
| Opus 5 | $0.00010 | $0.00261 |
| Sonnet 5 | $0.00004 | $0.00104 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
perplexity-improver 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 9d 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
反 AI 检测与改写
触发条件
章节草稿完成后自动触发（由主编排器在写作管道中调用），或手动调用。
MVP 策略（v1：规则 + Claude 自检）
当前版本不依赖本地 LLM 计算困惑度，而是通过：
- 禁用词匹配 — 基于
scripts/detection/forbidden_words_zh.txt（80+ 中文 AI 高频词汇） - 模式识别 — Claude 识别 6 种 AI 典型写作模式（句式整齐、过度平衡、空洞描写、总结收尾、情绪直述、对话后解释）
- 改写 — 基于
references/rewriting-techniques-zh.md的 9 种中文改写技巧
9 种改写技巧
- 句法颠倒 — 打破主谓宾顺序
- 碎片化 — 短句制造紧迫感
- 口语化注入 — 角色内心碎语
- 感官替换 — 非视觉感官描写
- 节奏破坏 — 长短句交替不对称
- 省略叙事 — 跳过可脑补的过渡
- 角色语气污染 — 叙述带角色色彩
- 反套路收尾 — 具体细节代替抽象总结
- 留白 — 沉默和动作代替情绪直述
未来增强（v2）
- 接入本地中文 LLM（如 Qwen2.5-7B）计算中文困惑度
- 量化评分（PPL 中位数、嫌疑率）
- 自动化 Python 检测脚本（类似 Claude-Book 的 detection.py）
- 句子级精确定位（而非当前的段落级）
使用方式
由主编排器（RULES.md）在写作管道中自动调用 perplexity-improver 代理。代理会读取草稿、执行检测和改写、输出改善后的章节和改写报告。
What ships with it
1 file 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.
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.
- 9d ago First seen · 41 lines · 21 tokens per session scan A 38e88c6ab2b9
perplexity-improver is a skill published in the GitHub repository QQQingyu/story-snack (5 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 522 once invoked, about $0.0001 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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