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 agentmods add commands/ahmed3elshaer/everything-claude-code-mobile/learngit clone --depth 1 https://github.com/ahmed3elshaer/everything-claude-code-mobileWrote 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/commands/ahmed3elshaer/everything-claude-code-mobile/learn)<a href="https://agentmods.dev/commands/ahmed3elshaer/everything-claude-code-mobile/learn"><img src="https://agentmods.dev/badge/commands/ahmed3elshaer/everything-claude-code-mobile/learn.svg" alt="Measured on agentmods" 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 | $0.00009 | $0.00077 |
| Opus 5 | $0.00005 | $0.00039 |
| Sonnet 5 | $0.00002 | $0.00015 |
| Haiku 4.5 | $0.00001 | $0.00008 |
Grade A, and why
learn 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 5d 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
Learn Command
Extract patterns mid-session.
Usage
/learn
/learn --type compose
What It Extracts
- Compose patterns used
- Architecture decisions
- Error handling patterns
- Testing approaches
Storage
Patterns saved to .claude/instincts/
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.
- 5d ago First seen · 26 lines · 9 tokens per session scan A 6b37ad1660e0
learn is a command published in the GitHub repository ahmed3elshaer/everything-claude-code-mobile (65 stars, last pushed 2mo ago), licensed MIT. It adds 9 tokens to every session and 77 once invoked, about $0.0000 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.
Other commands, from other repositories
commit-all
Group all changes semantically and commit each group separately.
extract
Extract a composable from amethyst to shared code.
preflight
Run pre-submission checks — automated gates + manual checklist.
figma-apply
피그마 변경을 현재 design/ 브랜치에 반영(커밋·푸시). /figma-start 이후에 사용.
app-store-audit
Run an enterprise pre submission compliance audit on an iOS or Android app against Apple App Store and Google Play rejection rules. Pass a project path or run from the project root.
OPSX: Verify
Verify implementation matches change artifacts before archiving.