Agent skill

K12 Physics Learning

by mingchen666 in mingchen666/Reviva

面向 K12 物理的题目条件抽取、物理量和单位校验、模型步骤、实验变量和错因分析。用户询问物理概念、计算题、实验题、错题或示意时使用。

No licenceAuto-check passedKnowledge Management

Install K12 Physics Learning

skills CLI
$ npx skills add mingchen666/Reviva --skill k12-physics-learning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mingchen666/Reviva k12-physics-learning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mingchen666/Reviva.git skills-src && mkdir -p .claude/skills && cp -r skills-src/electron/builtin-assets/skills/k12-physics-learning .claude/skills/k12-physics-learning && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
k12-physics-learning
GitHub stars
237
Token cost
~503 tokens
SKILL.md length
63 words
Files
5 (incl. references)
Skills in repo
54
Repo updated
First seen
Licence
None found

At a glance

面向 K12 物理的题目条件抽取、物理量和单位校验、模型步骤、实验变量和错因分析。用户询问物理概念、计算题、实验题、错题或示意时使用。

  • Works in 5 steps: 提取研究对象、已知量、未知量、条件、方向、参考系和需要求证的关系。 → 选择适用模型,说明其前提;不能确认时说明假设,不把假设写成题目事实。 → 列出关系式,标示单位、方向、正负号和量纲;必要时用 calculator 复核。 → …
  • Knowledge Management work in your project
  • SKILL.md covers 目标与边界, 标准流程, 模糊请求入口 and 初高中、题型与模拟, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

K12 Physics Learning is an agent skill from mingchen666/Reviva. 面向 K12 物理的题目条件抽取、物理量和单位校验、模型步骤、实验变量和错因分析。用户询问物理概念、计算题、实验题、错题或示意时使用。

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `config.json`, `evals/evals.json` and `references/modeling-and-safety.md`).

It sits in Knowledge Management. The repository describes itself as: Local-first AI learning workspace — ask, note, review and create around your own materials. Wiki KB, Agents, Skills, creation tools.Private NotebookLM Alternative.AI….

When your agent uses it

  • Knowledge Management work in your project

Example prompts

  • “/k12-physics-learning”

Requirements

  • Pre-approved tools (allowed-tools): file_read, document_read, vision_analyze, calculator, mcp:exa

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 提取研究对象、已知量、未知量、条件、方向、参考系和需要求证的关系。
  2. 选择适用模型,说明其前提;不能确认时说明假设,不把假设写成题目事实。
  3. 列出关系式,标示单位、方向、正负号和量纲;必要时用 calculator 复核。
  4. 给出结果范围或反向检查,例如极端情况、单位、数量级、能量或回路闭合。
  5. 对用户过程进行错因反馈;用户明确要求练习时给一到三道相邻情境变式。

What it can do on your machine

Read from SKILL.md and the folder at commit 24bde40. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • file_read
    • document_read
    • vision_analyze
    • calculator
    • mcp:exa

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

K12 Physics Learning loads about 503 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 22 tokens; SKILL.md has 63 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~503
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 63 words (~503 tokens).

name
k12-physics-learning
allowed-tools
file_read, document_read, vision_analyze, calculator, mcp:exa
version
1.0.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (references) in electron/builtin-assets/skills/k12-physics-learning of mingchen666/Reviva.

  • SKILL.md
  • config.json
  • evals/evals.json
  • references/modeling-and-safety.md
  • references/visual-routing.md

Open the folder on GitHubat commit 24bde40

Compare with similar skills

K12 Physics Learning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

K12 Physics Learning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
K12 Physics Learning this skillmingchen666/Reviva237—~503Automated safety check: PassNone
Baoyu URL To Markdownsdyckjq-lab/llm-wiki-skill2.5k3 repos~3.2kAutomated safety check: PassNone
Logseq Review Workflow Evallogseq/logseq45k—~1kAutomated safety check: PassAGPL-3.0
Obsidian CLIAtmosphere/atmosphere3.8k13 repos~795Automated safety check: PassApache-2.0
Esm Cjs Risk Scanlogseq/logseq45k—~3.3kAutomated safety check: PassAGPL-3.0
Capture Conversationoutline/outline41k—~474Automated safety check: PassCustom licence

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Questions about K12 Physics Learning

What does K12 Physics Learning do?

面向 K12 物理的题目条件抽取、物理量和单位校验、模型步骤、实验变量和错因分析。用户询问物理概念、计算题、实验题、错题或示意时使用。. K12 Physics Learning is an agent skill from mingchen666/Reviva.

When should I use K12 Physics Learning?

K12 Physics Learning fits situations like: knowledge Management work in your project.

How do I install K12 Physics Learning in Claude Code?

Run `npx skills add mingchen666/Reviva --skill k12-physics-learning -a claude-code`. Or copy the skill folder (electron/builtin-assets/skills/k12-physics-learning in mingchen666/Reviva) into .claude/skills/k12-physics-learning in your project. Claude Code loads it when a task matches its description.

How do I install K12 Physics Learning in Codex?

Run `npx skills add mingchen666/Reviva --skill k12-physics-learning -a codex`. Or copy the skill folder (electron/builtin-assets/skills/k12-physics-learning in mingchen666/Reviva) into .agents/skills/k12-physics-learning in your project. Codex loads it when a task matches its description.

Can I use K12 Physics Learning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mingchen666/Reviva --skill k12-physics-learning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/k12-physics-learning, .gemini/skills/k12-physics-learning, .github/skills/k12-physics-learning and .opencode/skills/k12-physics-learning in your project.

What does K12 Physics Learning need to run?

SKILL.md names no scripts, command-line tools or credentials: K12 Physics Learning is instructions for the agent only. Its frontmatter pre-approves these tools: file_read, document_read, vision_analyze, calculator, mcp:exa.

Does K12 Physics Learning access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is K12 Physics Learning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does K12 Physics Learning use?

No licence was found for K12 Physics Learning or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does K12 Physics Learning use?

About 503 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 909 tokens, read only when the agent opens those files.

What are the alternatives to K12 Physics Learning?

Skills that share tags, products or a category with K12 Physics Learning: Baoyu URL To Markdown (sdyckjq-lab/llm-wiki-skill, 2.5k stars), Logseq Review Workflow Eval (logseq/logseq, 45k stars), Obsidian CLI (Atmosphere/atmosphere, 3.8k stars) and Esm Cjs Risk Scan (logseq/logseq, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains K12 Physics Learning?

mingchen666 (a GitHub user) maintains it in mingchen666/Reviva, which has 237 GitHub stars. The repository holds 54 skills in this directory. The repository was last updated on September 21, 2026.

Source: mingchen666/Reviva on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.