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 administer-mini-ipipgit 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/administer-mini-ipip)<a href="https://agentmods.dev/skills/tashangkd/tashan-cursor-skills/administer-mini-ipip"><img src="https://agentmods.dev/badge/skills/tashangkd/tashan-cursor-skills/administer-mini-ipip/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/administer-mini-ipip"><img src="https://agentmods.dev/badge/skills/tashangkd/tashan-cursor-skills/administer-mini-ipip.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 | $0.00058 | $0.01131 |
| Opus 5 | $0.00029 | $0.00566 |
| Sonnet 5 | $0.00012 | $0.00226 |
| Haiku 4.5 | $0.00006 | $0.00113 |
Grade A, and why
administer-mini-ipip 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 11d 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
Phase 2b：施测 Mini-IPIP（人格量表）
前置准备
读取 doc/mini-ipip-scale.md 获取完整题目和计分键（注意反向计分题）。
量表说明（告知用户）
接下来是「大五人格量表」（Mini-IPIP），共 20 题，分 2 批作答，约 5-8 分钟。
请用 1-5 分作答：
1 = 非常不符合 3 = 中立/不确定 5 = 非常符合
请描述你「通常的状态」，而非理想状态或近期特殊情况。
施测流程（分 2 批）
第 1 批（题目 1-10）
| 题号 | 题目 |
|---|---|
| 1 | 我是聚会中的焦点人物。 |
| 2 | 我同情他人的感受。 |
| 3 | 我会立即完成杂务。 |
| 4 | 我情绪波动频繁。 |
| 5 | 我有生动的想象力。 |
| 6 | 我不常说话。 |
| 7 | 我对别人的问题不感兴趣。 |
| 8 | 我经常忘记把东西放回原处。 |
| 9 | 我大部分时间都很放松。 |
| 10 | 我对抽象概念不感兴趣。 |
第 2 批（题目 11-20）
| 题号 | 题目 |
|---|---|
| 11 | 在聚会上我会与许多不同的人交谈。 |
| 12 | 我能感受到他人的情绪。 |
| 13 | 我喜欢有条理。 |
| 14 | 我很容易心烦意乱。 |
| 15 | 我理解抽象概念有困难。 |
| 16 | 我保持在背景中（不引人注目）。 |
| 17 | 我对他人不太感兴趣。 |
| 18 | 我把事情搞得一团糟。 |
| 19 | 我很少感到忧郁。 |
| 20 | 我没有很好的想象力。 |
计分（重要：反向计分处理）
反向计分题（第 6、7、8、9、10、15、16、17、18、19、20 题）：
- 转换公式：计入分 = 6 - 原始分
- 即：1→5, 2→4, 3→3, 4→2, 5→1
维度计算（使用计入分后的分数）：
| 维度 | 题号（R=反向） | 计算 |
|---|---|---|
| 外向性 | 1, 6R, 11, 16R | 4题平均 |
| 宜人性 | 2, 7R, 12, 17R | 4题平均 |
| 尽责性 | 3, 8R, 13, 18R | 4题平均 |
| 神经质 | 4, 9R, 14, 19R | 4题平均 |
| 开放性/智力 | 5, 10R, 15R, 20R | 4题平均 |
展示计算过程：逐维度展示原始分→反向处理→均分，让用户可以核验。
水平描述参考
| 维度均分 | 水平描述 |
|---|---|
| 4.5-5.0 | 极高 |
| 3.5-4.4 | 偏高 |
| 2.5-3.4 | 中等 |
| 1.5-2.4 | 偏低 |
| 1.0-1.4 | 极低 |
完成后操作
- 将 5 个维度的均分和水平描述写入画像文件
## 五、人格字段 - 删除该字段的
（AI推断）标注（如有） - 将
采集阶段更新为包含mini_ipip_done - 检查：若 AMS、RCSS、Mini-IPIP 均已完成，将采集阶段更新为
all_scales_done - 给出人格特征的简短解读（2-3句，聚焦最突出的 1-2 个维度）
- 引导用户：
人格量表完成！所有量表均已填写完毕。
你可以：
- 输入「查看画像」查看完整画像并进行审核确认
- 输入「生成综合解读」让 AI 撰写综合分析
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.
- 11d ago First seen · 96 lines · 58 tokens per session scan A 68fd224d732a
administer-mini-ipip is a skill published in the GitHub repository TashanGKD/tashan-cursor-skills (20 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 1,131 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 2026-08-30.
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