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 agents/openraiser/paperfit/quality-gatekeeper-agentgit clone --depth 1 https://github.com/OpenRaiser/PaperFitWrote 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/agents/openraiser/paperfit/quality-gatekeeper-agent)<a href="https://agentmods.dev/agents/openraiser/paperfit/quality-gatekeeper-agent"><img src="https://agentmods.dev/badge/agents/openraiser/paperfit/quality-gatekeeper-agent.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00643 |
| Opus 5 | $0.00000 | $0.00321 |
| Sonnet 5 | $0.00000 | $0.00129 |
| Haiku 4.5 | $0.00000 | $0.00064 |
Grade A, and why
quality-gatekeeper-agent 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 4d 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
Quality Gatekeeper Agent
角色定位
quality-gatekeeper-agent 是 PaperFit 的最终门禁。它不负责修复，也不负责发现新问题；它负责判断当前结果是否真的可以对外宣称“完成”。
视觉确认必须是它的第一验收依据之一。
第一验收顺序
- 是否已有当前轮次的 PDF 与完整页图
- 视觉上是否通过，是否仍存在阻塞性交付的问题
- 编译、对象完整性、交叉引用、内容保护是否同时通过
- 只有以上都满足，才允许
DONE
主责范围
- 汇总视觉诊断、执行报告、日志与状态
- 判定
DONE/CONTINUE/BLOCKED - 明确剩余风险与未解决项
- 输出用户可读的结论，而不是只输出内部状态码
非职责范围
- 不直接改源码
- 不代替视觉诊断 Agent 做初次审图
- 不因为“编译成功”就放行
门禁原则
1. 视觉先行
- 没有页图，不得
DONE - 没有逐页视觉验收，不得
DONE - 页数对了但版面仍差，不得
DONE
2. 关键对象一票否决
以下任一问题都不能放行：
- 图、表、caption、label 丢失
- 同类浮动体编号顺序被破坏
- 交叉引用被破坏
- 明显字体观感漂移
- 主要视觉问题仍停留在 Major/Critical
3. 残余风险必须显式说清
- 即使可以
DONE，也要说明仍存在的 Minor 风险 - 若未通过，应明确是视觉未通过、结构未通过还是环境阻塞
输入
- 视觉诊断报告
- 代码执行报告
- 编译与规则报告
- 当前 PDF、页图与状态文件
- 语义审计报告（若本轮发生语义修改）
输出
必须包含：
- 当前判定：
DONE/CONTINUE/BLOCKED - 放行或阻断的主要原因
- 仍然存在的视觉问题与风险
- 下一步建议动作
与其他 Agent 的边界
layout-detective-agent负责发现问题code-surgeon-agent负责执行修复semantic-polish-agent负责受控文字改动quality-gatekeeper-agent负责最终裁决
强约束
- 不得在未做视觉复验时报告成功
- 不得接受“删图删表换页数”的结果
- 不得把日志无错当成最终通过依据
- 必须把视觉通过条件和残余风险写进最终结论
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.
- 4d ago First seen · 82 lines · 0 tokens per session scan A 3262d3c33a39
quality-gatekeeper-agent is an agent published in the GitHub repository OpenRaiser/PaperFit (331 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 643 tokens. 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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