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 skills/mingchen666/reviva/worksheet-skillnpx skills add mingchen666/Reviva --skill worksheet-skillgit clone --depth 1 https://github.com/mingchen666/RevivaWrote 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/mingchen666/reviva/worksheet-skill)<a href="https://agentmods.dev/skills/mingchen666/reviva/worksheet-skill"><img src="https://agentmods.dev/badge/skills/mingchen666/reviva/worksheet-skill.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 | $0.00113 | $0.01015 |
| Opus 5 | $0.00056 | $0.00508 |
| Sonnet 5 | $0.00023 | $0.00203 |
| Haiku 4.5 | $0.00011 | $0.00102 |
Grade A, and why
worksheet-skill 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
3 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.
- 5d ago First seen · 102 lines · 113 tokens per session scan A 591589c443eb
worksheet-skill is a skill published in the GitHub repository mingchen666/Reviva (219 stars, last pushed 8d ago), with no licence file. It adds 113 tokens to every session and 1,015 once invoked, about $0.0006 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.
Other skills, from other repositories
mindos
MindOS: local knowledge assistant & shared KB. Keeps decisions, notes, SOPs, debugging lessons, research findings, preferences across sessions/agents. Core: save notes, search KB, organize files, run workflows, review, append CSV, hand off context, distill lessons. NOT for app source or paths outside KB. Triggers…
classify-interview-questions
将批量面经或零散面试题逐题去重并分发：Agent/LLM/AI工程题写入 zero2Agent 的 learn-agent-interview，传统后端八股写入相邻 zero2Leetcode 的夏季八股。大批量输入使用 gpt-5.6-luna API 逐篇并发抽题和语义召回，再审查、去重和写答案；不新建面经实录文章。.
new-article
在 zero2Agent 项目中创建新的学习文章。当用户说"写一篇新文章"、"创建文章"、"新建文章"、"在某模块下添加一篇关于X的文章"、"帮我起草一篇讲XX的内容"、"整理面经"时触发。适用于所有模块下新建内容，包括面试维度拆解文章和面经实录。即使用户没有明确说"文章"，只要涉及给 zero2Agent 项目增加教学内容，也应当触发此技能。.
new-module
在 zero2Agent 项目中创建新的学习模块。当用户说"新建模块"、"添加模块"、"创建一个新的学习章节"、"我想增加一个关于X的模块"时触发。负责创建模块目录结构、index.md，并同步更新主页 index.html 和 layouts/default.html 的导航。即使用户只是说"我想增加一个讲XX的章节"，也应当触发此技能。.
transformer-attention
Use when reasoning about Transformer self-attention, multi-head attention, positional encoding, masked decoder attention, or why attention replaced recurrence/convolutions in sequence models; not for generic NLP or unrelated attention topics.
ai-tutor
Use when user asks to explain, break down, or help understand technical concepts (AI, ML, or other technical topics). Makes complex ideas accessible through plain English and narrative structure. Use the provided scripts to transcribe videos.