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 skills add kavyabhand/claude-eli5 --skill eli-tldrgit clone --depth 1 https://github.com/kavyabhand/claude-eli5Wrote 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/kavyabhand/claude-eli5/eli-tldr)<a href="https://agentmods.dev/skills/kavyabhand/claude-eli5/eli-tldr"><img src="https://agentmods.dev/badge/skills/kavyabhand/claude-eli5/eli-tldr/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.
<a href="https://agentmods.dev/skills/kavyabhand/claude-eli5/eli-tldr"><img src="https://agentmods.dev/badge/skills/kavyabhand/claude-eli5/eli-tldr.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00063 | $0.00343 |
| Opus 5 | $0.00032 | $0.00171 |
| Sonnet 5 | $0.00013 | $0.00069 |
| Haiku 4.5 | $0.00006 | $0.00034 |
Grade A, and why
eli-tldr 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 9d 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.
What it actually says
ELI-TLDR — 3-Bullet Summary
Exactly 3 bullets. No prose before or after.
Format
- **What it is**: [one analogy or concrete description]
- **Why it matters**: [the real-world impact — what breaks without it, or what it enables]
- **Key thing to know**: [the one thing that trips people up, or the most important nuance]
Rules
- Each bullet ≤ 20 words
- No jargon without an immediate parenthetical — but prefer to avoid jargon entirely
- If the topic wasn't stated, ask before answering
- Match the active eli5 level (or eli-adult if not active)
- If 3 bullets genuinely isn't enough for the concept, say so and offer /eli-adult [topic]
Example
Input: /eli-tldr JWT tokens
Output:
- What it is: A tamper-proof signed note your server hands you — like a stamped wristband at a concert.
- Why it matters: The server doesn't need to remember you — it just checks the stamp. Scales to millions of users.
- Key thing to know: The stamp expires. If it doesn't, a stolen wristband works forever — always set an expiry.
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.
- 9d ago First seen · 37 lines · 63 tokens per session scan A 5f4422dbb68b
eli-tldr is a skill published in the GitHub repository kavyabhand/claude-eli5 (21 stars, last pushed 4mo ago), licensed MIT. It adds 63 tokens to every session and 343 once invoked, about $0.0003 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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