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 TashanGKD/tashan-cursor-skills --skill cognitive-consistency-checkgit clone --depth 1 https://github.com/TashanGKD/tashan-cursor-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/tashangkd/tashan-cursor-skills/cognitive-consistency-check)<a href="https://agentmods.dev/skills/tashangkd/tashan-cursor-skills/cognitive-consistency-check"><img src="https://agentmods.dev/badge/skills/tashangkd/tashan-cursor-skills/cognitive-consistency-check/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/tashangkd/tashan-cursor-skills/cognitive-consistency-check"><img src="https://agentmods.dev/badge/skills/tashangkd/tashan-cursor-skills/cognitive-consistency-check.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 | $0.00067 | $0.02976 |
| Opus 5 | $0.00034 | $0.01488 |
| Sonnet 5 | $0.00013 | $0.00595 |
| Haiku 4.5 | $0.00007 | $0.00298 |
Grade A, and why
cognitive-consistency-check 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 8d 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
一致性验证 Skill（Cognitive Consistency Check）
基于
维护协议_自洽规范.md的C1-C10条件，对认知结构做完整验证。 发现问题后立即修复，不允许「知道有问题但先放着」。
知识导航表（执行前必须理解的概念根）
| 层级 | 文档 | 需要理解的概念 |
|---|---|---|
| D0 认知根（必读） | _内部总控/认知结构/L1_系统性文档/系统架构思维维度/自进化智能体系统形式规范_v1.0.md |
层3：C2关系显式化（对象间依赖必须声明）；层4：RelType（structural/uses/invokes/verifies/mentions） |
| D3 规范参考 | _内部总控/认知结构/维护协议_自洽规范.md |
C1~C10完整一致性条件（本 Skill 的执行依据） |
| D4 运行时数据 | 所有L1文档 + L1.5底层原则库.md |
被验证的K-objects（需要全量扫描） |
核心概念速查： ① 一致性 = R中所有对象的关系（C2）都能成立；对象的当前状态符合其依赖关系 ② C1~C10分别对应不同类型的一致性：版本一致/引用存在/内容非矛盾等 ③ 发现不一致后立即修复（ceremony(K)），不留挂起状态
激活后立即执行
Step 1 读取 认知结构/维护协议_自洽规范.md
→ 确认当前有效的C1-C10条件
→ 确认版本控制要求（0.2条）
Step 2 枚举认知结构的实际文件状态
→ 列出 L1_系统性文档/ 所有.md文件（排除历史版本和变更记录）
→ 列出 L2_碎片化思考/ 所有.md文件（排除碎片整合索引）
→ 检查 L0_大脑总地图.md 是否存在且包含框架图
C1：L0完备性
验证：L0大脑总地图中列出的所有文档，在认知结构目录中实际存在
方法：读取L0中的文档路径列表，用Glob逐一确认文件存在
结果：✅/⚠️（列出具体缺失文件）
C2：L0时效性
验证：L0中每篇文档的状态（✅/◑/❌）是否反映实际情况
方法：对比L0状态标注与实际文件的最后修改时间
结果：✅/⚠️（列出状态过时的条目）
C2+：L0框架图（铁律）
验证：L0必须包含可视化框架图（见维护协议0.1条）
方法：搜索L0中是否包含ASCII框图（包含╔═╗等字符 或 ┌─┐等字符）
结果：✅/❌（没有框架图 = 严重违规，必须立即补充）
C3：知识图谱完整性
验证：知识图谱_正式文档.md中的节点数 = 认知结构L1目录中的文档数
方法：
→ 枚举 L1_系统性文档/ 实际文档数量
→ 统计知识图谱中登记的L1节点数量
→ 两者应相等
结果：✅/⚠️（列出图谱中缺少的文档）
C4：碎片索引完整性
验证：碎片整合索引覆盖所有L2文档
方法：
→ 枚举 L2_碎片化思考/ 所有实际.md文件（排除索引本身）
→ 检查每个文件是否在索引中有对应条目
结果：✅/⚠️（列出索引缺失的L2文档）
C5：分类清单准确性
验证：文档分类清单中已迁入的文档状态为★，未迁入的为◑
方法：
→ 读取文档分类清单
→ 对每个★条目，确认认知结构中实际有该文档
→ 对每个◑条目，确认认知结构中确实没有该文档
结果：✅/⚠️（列出状态不准确的条目）
C6：DUPLICATE标注完整性
验证：已知的DUPLICATE文档（原始位置）开头有redirect标注
方法：
→ 从文档分类清单找出所有○DUPLICATE条目
→ 读取每个原始位置文件的前5行，检查是否有「权威版本已迁入」字样
结果：✅/⚠️（列出缺少标注的文件）
C7：系统日志完整性
验证：每次重要操作都在系统日志中有记录
方法：抽查最近的操作历史（对话提到的操作），对比系统日志条目
结果：✅/⚠️（如有明显遗漏则列出）
C7+：版本控制完整性（新增，来自维护协议0.2条）
验证：每个L1文档都有 v1.0 快照和变更记录文件
方法：
→ 对每个L1文档，检查 历史版本/[文档名]_v1.0_*.md 是否存在
→ 检查 [文档名]_变更记录.md 是否存在
结果：✅/⚠️（列出缺少版本控制文件的文档）
C8：L1.5约束一致性（可选，耗时）
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.
- 8d ago First seen · 253 lines · 67 tokens per session scan A 9c246226b771
cognitive-consistency-check is a skill published in the GitHub repository TashanGKD/tashan-cursor-skills (20 stars, last pushed 5mo ago), licensed MIT. It adds 67 tokens to every session and 2,976 once invoked, about $0.0003 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 2026-09-03.
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