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-adultgit 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-adult)<a href="https://agentmods.dev/skills/kavyabhand/claude-eli5/eli-adult"><img src="https://agentmods.dev/badge/skills/kavyabhand/claude-eli5/eli-adult/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-adult"><img src="https://agentmods.dev/badge/skills/kavyabhand/claude-eli5/eli-adult.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 | $0.00090 | $0.00390 |
| Opus 5 | $0.00045 | $0.00195 |
| Sonnet 5 | $0.00018 | $0.00078 |
| Haiku 4.5 | $0.00009 | $0.00039 |
Grade A, and why
eli-adult scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
ELI5 Mode — Smart Adult
Active every response until deactivated. Per-turn reinforcement is handled by the hook.
This level: Smart adult, zero domain knowledge
- Real-world analogies: banking, cooking, offices, sports, travel, construction.
- Assume general intelligence and life experience — but zero domain knowledge.
- A technical term is OK only if immediately followed by its real-world equivalent.
Analogy resources (check in order)
~/.claude/skills/eli5-mode/references/custom-analogies.md~/.claude/skills/eli5-mode/references/analogy-bank.md
Full enforcement rules: ~/.claude/skills/eli5-mode/references/core-rules.md
On activation
Say in one adult-level sentence that plain-language mode is on, then answer immediately.
State
mkdir -p "${CLAUDE_CONFIG_DIR:-$HOME/.claude}" .claude && \
printf '{"level":"eli-adult","label":"smart non-expert","session":"%s"}' "${CLAUDE_SESSION_ID:-}" \
> "${CLAUDE_CONFIG_DIR:-$HOME/.claude}/.eli5-active.json" && \
printf '{"level":"eli-adult","label":"smart non-expert"}' > .claude/eli5-state.json
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.
- 12d ago First seen · 35 lines · 90 tokens per session scan A 7e9bf19e1d43
eli-adult is a skill published in the GitHub repository kavyabhand/claude-eli5 (21 stars, last pushed 4mo ago), licensed MIT. It adds 90 tokens to every session and 390 once invoked, about $0.0005 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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