eli5

eli5 is a skill for Claude Code, Codex from Magnus-Gille/claude-skills. It costs 80 tokens per session (359 once invoked), scanned A, original, MIT.

A plain-language rewriter that explains the immediately previous answer with shorter sentences and unfamiliar terms defined.

In plain words
What is it for?
Use it after a technical response when you need an accessible version for a beginner or non-specialist reader.
Why use it?
It makes technical explanations easier to understand without changing their meaning or leaving out key points.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it after a technical response when you need an accessible version for a beginner or non-specialist reader.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/magnus-gille/claude-skills/eli5
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 Magnus-Gille/claude-skills --skill eli5
Clone the repo
git clone --depth 1 https://github.com/Magnus-Gille/claude-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 eli5

README.md
[![agentmods](https://agentmods.dev/badge/skills/magnus-gille/claude-skills/eli5/github.svg)](https://agentmods.dev/skills/magnus-gille/claude-skills/eli5)
Your own site
<a href="https://agentmods.dev/skills/magnus-gille/claude-skills/eli5"><img src="https://agentmods.dev/badge/skills/magnus-gille/claude-skills/eli5/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 eli5

Your own site · 80×15
<a href="https://agentmods.dev/skills/magnus-gille/claude-skills/eli5"><img src="https://agentmods.dev/badge/skills/magnus-gille/claude-skills/eli5.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 359 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 original 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 $0.00080 $0.00359
Opus 5.5 $0.00032 $0.00144
Sonnet 5.5 $0.00016 $0.00072
Haiku 4.5 $0.00008 $0.00036

Measured 1mo ago against content hash 37a34fb32779, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

eli5 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 1mo 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.

codex/eli5/SKILL.md · 40 lines

What it actually says

ELI5

Explain the requested thing in simple, everyday language.

Core Style

  • Use short sentences.
  • Use common words.
  • Avoid jargon unless it is the thing being explained.
  • If jargon is needed, define it immediately.
  • Prefer one concrete example over abstract explanation.
  • Do not sound childish or patronizing.
  • Do not add unrelated background.

Workflow

  1. Identify what should be simplified. If the user says "det som precis förklarades", use the previous assistant answer.
  2. State the simple version first.
  3. Add a small example or analogy if it helps.
  4. Mention practical consequence: what the user can do or should understand from it.

Output Shape

For a short source, default to 2-5 short sentences; match the source's length when it has several distinct points.

Use bullets only when the original topic has several parts that need separation.

If the user asks for Swedish, answer in Swedish. If the language is unclear, match the user's language.

Guardrails

  • Preserve the original claims, caveats, and conclusions. Simplify rather than summarize unless the user asks for a summary.
  • Do not invent missing facts.
  • For risky domains such as legal, medical, finance, tax, accounting, or security, keep the explanation simple but include the key caveat.
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. 1mo ago Changed · +9 lines · +21 tokens per session 37a34fb32779
  2. 2mo ago First seen · 31 lines · 59 tokens per session scan A 67ec54d069dc

Subscribe to this mod's changes

eli5 is a skill published in the GitHub repository Magnus-Gille/claude-skills (5 stars, last pushed 2d ago), licensed MIT. It adds 80 tokens to every session and 359 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 2026-08-31.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

component-fixtures

Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.

microsoft/vscode · 53 tokens