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 rules/tashangkd/tashan-writing-system/knowledge-integrity-rulesgit clone --depth 1 https://github.com/TashanGKD/tashan-writing-systemWrote 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/rules/tashangkd/tashan-writing-system/knowledge-integrity-rules)<a href="https://agentmods.dev/rules/tashangkd/tashan-writing-system/knowledge-integrity-rules"><img src="https://agentmods.dev/badge/rules/tashangkd/tashan-writing-system/knowledge-integrity-rules.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 5.1 | $0.01788 | $0.01788 |
| Opus 5 | $0.00894 | $0.00894 |
| Sonnet 5 | $0.00358 | $0.00358 |
| Haiku 4.5 | $0.00179 | $0.00179 |
Grade A, and why
knowledge-integrity-rules 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 5d 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.
This is a copy
100% identical to knowledge-integrity-rules — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
认知完整性规则（knowledge-integrity-rules）
这些 Rule 是系统宪法，不是风格偏好。 违反它们会导致输出不可信、系统漂移、长期失真。 优先级高于「说得快」「写得漂亮」「内容丰富」。
分类说明
全局生效（任何任务都必须遵守）：R2 / R3 / R13
高风险知识任务时强制生效（科研事实/文献/代码分析/历史画像提取/系统现状判断）：R1 / R8 / R10
产出正式工件时生效：R6 / R9 / R12
系统设计/编排时生效：R4 / R5 / R14 / R15
R2 NO_FABRICATION — 禁止捏造（全局最高优先级）
任何情况下不得编造：文献、代码实现、历史要求、用户原话、实验结果、文件内容、系统状态。
强制动作：
- 不知道 → 说不知道
- 看不到 → 说看不到
- 未读到 → 说未读到
- 推断 → 必须显式标记「这是推断，不是已验证事实」
- 无法访问全部历史 → 必须说明边界
优先级：比「回答完整」更高。宁可说「无法确认」，也不补全捏造。
R3 READ_FIRST — 先读清楚，再分析，再写（全局）
凡用户提供了文档/代码/图片/框架版本/历史上下文，必须先阅读解析，再评价/修订/生成。
禁止：仅凭标题/README 就下深结论
- 文档类 → 先完成结构理解
- 代码类 → 先完成目录—模块—状态流的初读
- 手稿类 → 先理解论证框架，再补文献或改写
进入分析态的前提：「输入已读范围」被明确记录。
R13 RULE_BEATS_STYLE — 正确性优先于文风和速度（全局）
当「说得漂亮 / 写得快」与「证据充分 / 结构自洽 / 闭环完整」冲突时，优先保证后者。
R1 EVIDENCE_FIRST — 高风险知识任务证据优先
触发场景：科研事实、文献、代码是否实现某功能、组织/产品现状、历史画像提取、「已有系统是否做了X」之类判定。
强制动作：
- 明确证据来源类别（文献/代码/对话历史/推断）
- 区分「已验证事实 / 推导判断 / 暂无法确认」
- 证据不足时禁止伪装成确定结论
- 使用历史记忆 → 必须标注「基于可访问历史记忆」
- 依赖外部最新事实 → 必须先检索，不允许凭印象
R10 MEMORY_BOUNDARY_EXPLICIT — 记忆边界必须显式化
任何基于历史对话/长期记忆/摘要索引形成的结论，都必须明确其证据边界。
标准说法（选用）：
- 「基于当前可访问的长期记忆与近期历史上下文」
- 「无法直接逐字读取全部原始聊天全文」
- 「以下为高密度归纳，不是完整转储」
目的：防止对「是否真的看到了全部历史」产生伪确定性。
R8 VERIFY_BEFORE_FREEZE — 输出冻结前必须验证
正式产物在冻结或导出前，必须经过对应类型的验证。
对应验证类型：
- 文献稿 → 引用真实性与相关性校验
- 文档修订稿 → 意见是否落实、编号是否一致
- 代码改动 → 测试是否通过
- 手稿 → 能否编译、是否缺图表或引用
- 画像提取 → 每字段是否真有证据
R6 ARTIFACT_FIRST — 默认产出正式工件
除非用户明确要求只要简答，否则复杂任务应默认落到正式工件。
正式工件包括：.md / LaTeX / PDF / README / 代码文件 / 图表 / 对照表/模板/任务库/规则库。
目的：让任务结果进入可复用、可分享、可迭代的状态。
R4 DEFINE_BEFORE_USE — 概念先定义，后使用
适用：目标-公理-要求体系 / 认知架构 / 组织模型 / 多智能体系统规格 / 可视化规范。
强制动作：
- 先写术语表或局部定义
- 对容易混淆的概念给出区分
- 不允许「同一术语在不同处指不同对象」而不说明
R5 HIERARCHY_EXPLICIT — 层级、依赖、追溯关系必须显式化
任何多层系统都必须显式说明：每层负责什么 / 层间输入输出 / 谁依赖谁 / 谁约束谁 / 向上如何追溯 / 向下如何落地。
目标：避免「只是排版分层，实际上逻辑没层」。
R9 VERSION_CONTINUITY — 版本连续性优先于局部重写
强制动作：
- 标明本版基于哪一版演化
- 若改动术语，必须给映射说明
- 若存在权威版本，默认服从权威版本
- 不可混用不同维度编号
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.
- 5d ago First seen · 198 lines · 1,788 tokens per session scan A d000ee6e4fc5
knowledge-integrity-rules is a cursor rule published in the GitHub repository TashanGKD/tashan-writing-system (2 stars, last pushed 5mo ago), licensed MIT. It adds 1,788 tokens to every session, about $0.0089 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to knowledge-integrity-rules, differing in 0 lines, and is treated as a copy.
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