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 jaylpp/pandajay-skills --skill pandajay-aigcgit clone --depth 1 https://github.com/jaylpp/pandajay-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/jaylpp/pandajay-skills/pandajay-aigc)<a href="https://agentmods.dev/skills/jaylpp/pandajay-skills/pandajay-aigc"><img src="https://agentmods.dev/badge/skills/jaylpp/pandajay-skills/pandajay-aigc/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/jaylpp/pandajay-skills/pandajay-aigc"><img src="https://agentmods.dev/badge/skills/jaylpp/pandajay-skills/pandajay-aigc.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 | $0.00121 | $0.01902 |
| Opus 5 | $0.00060 | $0.00951 |
| Sonnet 5 | $0.00024 | $0.00380 |
| Haiku 4.5 | $0.00012 | $0.00190 |
Grade A, and why
pandajay-aigc 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pandajay-aigc - 降低文本AIGC检测率
本skill封装Paper Panda的AIGC改写API，帮助用户降低文本的AI检测率或查重率。
使用脚本
重要：所有API调用必须通过 scripts/rewrite.py 脚本执行，不要直接调用API。
脚本位置：scripts/rewrite.py
脚本使用方法
python3 scripts/rewrite.py <文本内容> [改写类型] [服务类型]
参数说明
| 参数 | 必填 | 默认值 | 说明 |
|---|---|---|---|
| 文本内容 | 是 | - | 要改写的文本内容 |
| 改写类型 | 否 | 3 | 数字1-13，见下方改写类型表 |
| 服务类型 | 否 | ai-reduce | ai-reduce/ai-duplicate/duplicate-reduce/advance/ai-reduce-value |
改写类型 (rewrite_type)
| ID | 名称 | 适用场景 |
|---|---|---|
| 1 | 知网降AI | 知网平台AI检测 |
| 2 | 维普降AI | 维普平台AI检测 |
| 3 | 通用降AI | 默认选项，通用场景 |
| 4 | 英文知网降AI | 英文文本+知网 |
| 5 | 通用降重 | 专注降重服务 |
| 6 | 格子达降AI | 格子达平台AI检测 |
| 7 | 双降知网 | 知网平台同时降AI+降重 |
| 8 | 双降维普 | 维普平台同时降AI+降重 |
| 9 | 双降通用 | 通用场景同时降AI+降重 |
| 10 | 双降格子达 | 格子达平台同时降AI+降重 |
| 11 | 朱雀降AI | 朱雀平台AI检测 |
| 13 | 英文维普降AI | 英文文本+维普 |
服务类型 (service_type)
| 值 | 说明 |
|---|---|
| ai-reduce | 降AI-中文版（标准，推荐） |
| ai-reduce-value | 降AI-英文版（超值） |
| duplicate-reduce | 降重服务 |
| ai-duplicate | 降AI+降重（双重优化） |
工作流程
0. 首次配置检查（优先级最高）
在执行任何改写之前，必须先检查 API Key 是否已配置
运行检测脚本：
python3 scripts/rewrite.py "检测" 3 ai-reduce
-
如果返回"未配置 API Key"：
- 询问用户：您是否有 Paper Panda 的 API Key？
- 如果有：运行
python3 scripts/rewrite.py --set-key <用户提供的key>保存 - 如果没有：告知用户前往 https://paperpanda.cn 注册，在"API密钥管理"中创建
- 保存后立即停止，告知用户配置完成，可以再次使用
- 不要继续执行改写
-
如果正常执行：继续进入后续流程
重要：首次配置时只做配置工作，配置完成后停止，不执行任何改写操作。
1. 分析用户需求
确定用户的核心需求：
- 降AI率: 用户文本被AI检测工具标记为AI生成
- 降重率: 用户文本查重率过高
- 双重优化: 同时需要降AI和降重
- 平台特定: 知网、维普、格子达、朱雀等特定平台
2. 智能选择改写类型
根据用户提到的关键词自动选择：
| 用户关键词 | 推荐rewrite_type | 服务类型 |
|---|---|---|
| 知网 | 1 或 7 | ai-reduce / ai-duplicate |
| 维普 | 2 或 8 | ai-reduce / ai-duplicate |
| 格子达 | 6 或 10 | ai-reduce / ai-duplicate |
| 朱雀 | 11 | ai-reduce |
| 双降/同时 | 对应平台的双降类型 | ai-duplicate |
| 降重 | 5 或对应平台双降 | duplicate-reduce / ai-duplicate |
| 未指定 | 3 | ai-reduce |
3. 调用脚本改写
使用 scripts/rewrite.py 脚本进行改写：
What ships with it
2 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.
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 · 210 lines · 121 tokens per session scan A f071efb2ef81
pandajay-aigc is a skill published in the GitHub repository jaylpp/pandajay-skills (11 stars, last pushed 3mo ago), licensed MIT. It adds 121 tokens to every session and 1,902 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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