edu-solid-geometry

A solid-geometry teaching skill that turns a problem into a self-contained web page with a step-by-step mathematical solution and an interactive 3D model.

In plain words
What is it for?
It is for problems about cubes, cuboids, pyramids, prisms, cylinders, cones, line-plane angles, dihedral angles, skew-line angles, point-to-plane distance, and volume. It can use text, generate a random problem, or read a problem image.
Why use it?
It helps learners connect the vector-based calculation with the corresponding parts, camera views, and highlighted steps in the solid.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/mingchen666/reviva/edu-solid-geometry
Any agent
npx skills add mingchen666/Reviva --skill edu-solid-geometry
Clone the repo
git clone --depth 1 https://github.com/mingchen666/Reviva

Made for: Claude Code, Codex.

Per session 283 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,519 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00283 $0.02519
Opus 5 $0.00142 $0.01260
Sonnet 5 $0.00057 $0.00504
Haiku 4.5 $0.00028 $0.00252

Measured 2d ago against content hash 9257e9ee6f97, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

edu-solid-geometry 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 2d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (lib/bodies.py, lib/geometry_kernel.py, scripts/generate.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

electron/builtin-assets/skills/edu-solid-geometry/SKILL.md · 133 lines

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.

Read it on GitHub

Files

What ships with it

7 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.

Changes

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.

  1. 2d ago First seen · 133 lines · 283 tokens per session scan A 9257e9ee6f97

Subscribe to this mod's changes

edu-solid-geometry is a skill published in the GitHub repository mingchen666/Reviva (217 stars, last pushed 6d ago), with no licence file. It adds 283 tokens to every session and 2,519 once invoked, about $0.0014 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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