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-amsgit 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-ams)<a href="https://agentmods.dev/skills/tashangkd/tashan-cursor-skills/administer-ams"><img src="https://agentmods.dev/badge/skills/tashangkd/tashan-cursor-skills/administer-ams/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-ams"><img src="https://agentmods.dev/badge/skills/tashangkd/tashan-cursor-skills/administer-ams.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 | $0.00056 | $0.01563 |
| Opus 5 | $0.00028 | $0.00781 |
| Sonnet 5 | $0.00011 | $0.00313 |
| Haiku 4.5 | $0.00006 | $0.00156 |
Grade A, and why
administer-ams 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.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 2b：施测 AMS-GSR 28（学术动机量表）
前置准备
- 读取
doc/academic-motivation-scale.md获取完整题目 - 检查画像文件，若
ams_done已在采集阶段中，询问用户是否要重新测量
量表说明（告知用户）
接下来是「学术动机量表」（AMS-GSR 28），共 28 题，分 4 批完成，每批 7 题。
请用 1-7 分来回答每道题，1=完全不符合，7=非常符合。
预计耗时：约 8-10 分钟。
题目会问「你为什么从事科研/研究生学习」，请根据真实感受作答，没有对错之分。
施测流程（分 4 批）
第 1 批（题目 1-7）
呈现题目并说明计分方式（1=完全不符合，7=非常符合）：
| 题号 | 题目 |
|---|---|
| 1 | 因为仅有本科学历，我以后找不到高薪工作。 |
| 2 | 因为在自己的领域学习新事物时我能体验到快乐和满足。 |
| 3 | 因为我认为研究生教育能帮助我更好地为选择的职业做准备。 |
| 4 | 因为当与他人交流自己的研究想法时我体验到强烈的感受。 |
| 5 | 说实话，我不知道；我真的觉得读研究生是浪费时间。 |
| 6 | 因为在研究中超越自我时我能体验到愉悦。 |
| 7 | 为了向自己证明我有能力完成研究生学位。 |
请用户回复格式：1:分数, 2:分数, 3:分数, ...
第 2 批（题目 8-14）
| 题号 | 题目 |
|---|---|
| 8 | 为了日后能在学术界或产业界获得更有声望的职位。 |
| 9 | 因为发现前所未见的新现象或新观点时我能体验到愉悦。 |
| 10 | 因为这最终能使我进入我喜欢的领域就业。 |
| 11 | 因为阅读有趣的学术论文或著作时我能体验到愉悦。 |
| 12 | 我曾经有充分的理由读研究生；然而，现在我怀疑是否应该继续。 |
| 13 | 因为在研究成就中超越自我时我能体验到快乐。 |
| 14 | 因为当我在研究中取得成功时，我会感到自己很重要。 |
第 3 批（题目 15-21）
| 题号 | 题目 |
|---|---|
| 15 | 因为我想日后拥有"美好生活"。 |
| 16 | 因为拓宽我感兴趣研究主题的知识时我能体验到愉悦。 |
| 17 | 因为这能帮助我就研究方向和职业定位做出更好的选择。 |
| 18 | 因为全神贯注于某些学者的著作时我能体验到愉悦。 |
| 19 | 我不明白为什么做科研，坦率地说，我根本不在乎。 |
| 20 | 因为完成困难的研究任务过程中我能感到满足。 |
| 21 | 为了向自己展示我是一个聪明且有能力的研究者。 |
第 4 批（题目 22-28）
| 题号 | 题目 |
|---|---|
| 22 | 为了日后能有更好的职业前景和薪水。 |
| 23 | 因为我的研究生学习使我能继续了解许多我感兴趣的事物。 |
| 24 | 因为我相信额外几年的研究生教育会提高我作为研究者或专业人士的能力。 |
| 25 | 因为探索各种有趣的研究主题时我能体验到"兴奋"的感觉。 |
| 26 | 我不知道；我无法理解我在研究中做什么。 |
| 27 | 因为研究生学习使我在追求研究卓越的过程中体验到个人满足感。 |
| 28 | 因为我想向自己展示我能在研究生学习和研究中取得成功。 |
计分与写入
收集全部 28 题答案后，计算各维度均分：
| 维度 | 题号 | 计算 |
|---|---|---|
| 求知内在动机 | 2, 9, 16, 23 | 4题均分 |
| 成就内在动机 | 6, 13, 20, 27 | 4题均分 |
| 体验刺激内在动机 | 4, 11, 18, 25 | 4题均分 |
| 认同调节 | 3, 10, 17, 24 | 4题均分 |
| 内摄调节 | 7, 14, 21, 28 | 4题均分 |
| 外部调节 | 1, 8, 15, 22 | 4题均分 |
| 无动机 | 5, 12, 19, 26 | 4题均分 |
RAI 公式：
RAI = (3×求知 + 3×成就 + 3×体验刺激 + 2×认同) − (1×内摄 + 2×外部 + 3×无动机)
逐步展示计算过程，让用户可以核验。
完成后操作
- 将所有维度分数和 RAI 写入画像文件
## 四、学术动机对应字段 - 删除该字段的
（AI推断）标注（如有） - 将
采集阶段更新为包含ams_done - 给出简短的动机模式解读（2-3句）
- 询问下一步：
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 · 111 lines · 56 tokens per session scan A c2fd0465720a
administer-ams is a skill published in the GitHub repository TashanGKD/tashan-cursor-skills (20 stars, last pushed 5mo ago), licensed MIT. It adds 56 tokens to every session and 1,563 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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