proof-formula-derivation

proof-formula-derivation is a skill for Claude Code, Codex from moonlarry/codex-paper-skills. It costs 86 tokens per session (1,976 once invoked), scanned A, original, no licence file.

A research-formula drafting aid for turning assumptions and scattered equations into a connected mathematical derivation for a paper.

In plain words
What is it for?
Use it to choose and derive a formula, organize assumptions, connect equations, or rewrite theory notes as a paper-ready formula document.
Why use it?
It helps when the intended derivation is still being defined and the theory notes are difficult to organize.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to choose and derive a formula, organize assumptions, connect equations, or rewrite theory notes as a paper-ready formula document.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/moonlarry/codex-paper-skills/proof-formula-derivation
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.

Any agent
npx skills add moonlarry/codex-paper-skills --skill proof-formula-derivation
Clone the repo
git clone --depth 1 https://github.com/moonlarry/codex-paper-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for proof-formula-derivation

README.md
[![agentmods](https://agentmods.dev/badge/skills/moonlarry/codex-paper-skills/proof-formula-derivation/github.svg)](https://agentmods.dev/skills/moonlarry/codex-paper-skills/proof-formula-derivation)
Your own site
<a href="https://agentmods.dev/skills/moonlarry/codex-paper-skills/proof-formula-derivation"><img src="https://agentmods.dev/badge/skills/moonlarry/codex-paper-skills/proof-formula-derivation/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.

agentmods 80×15 button for proof-formula-derivation

Your own site · 80×15
<a href="https://agentmods.dev/skills/moonlarry/codex-paper-skills/proof-formula-derivation"><img src="https://agentmods.dev/badge/skills/moonlarry/codex-paper-skills/proof-formula-derivation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,976 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00086 $0.01976
Opus 5.5 $0.00034 $0.00790
Sonnet 5.5 $0.00017 $0.00395
Haiku 4.5 $0.00009 $0.00198

Measured 2mo ago against content hash 2a4f47e4747c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

proof-formula-derivation 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 2mo 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.

paper_skills/proof-formula-derivation/SKILL.md · 279 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

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. 2mo ago First seen · 279 lines · 86 tokens per session scan A 2a4f47e4747c

Subscribe to this mod's changes

proof-formula-derivation is a skill published in the GitHub repository moonlarry/codex-paper-skills (180 stars, last pushed 3mo ago), with no licence file. It adds 86 tokens to every session and 1,976 once invoked, about $0.0003 per session on Opus 5.5. 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.

Related

proof-formula-derivation compared with skills from other repositories

proof-formula-derivation next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
proof-formula-derivationmoonlarry/codex-paper-skillsSkill1803mo agononeA86Claude Code, Codex
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exploratory-data-analysisK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA83Claude Code
matlabK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA44Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA71Claude Code, Codex
research-engineerdavila7/claude-code-templatesSkill33kyesterdayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A205Claude Code