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 skills/ahmed3elshaer/everything-claude-code-mobile/continuous-learningnpx skills add ahmed3elshaer/everything-claude-code-mobile --skill continuous-learninggit 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/skills/ahmed3elshaer/everything-claude-code-mobile/continuous-learning)<a href="https://agentmods.dev/skills/ahmed3elshaer/everything-claude-code-mobile/continuous-learning"><img src="https://agentmods.dev/badge/skills/ahmed3elshaer/everything-claude-code-mobile/continuous-learning.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 5.1 | $0.00020 | $0.00248 |
| Opus 5 | $0.00010 | $0.00124 |
| Sonnet 5 | $0.00004 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
continuous-learning 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
Continuous Learning for Mobile
Extract patterns from your mobile development sessions to create reusable skills.
How It Works
- Session Hooks - Post-session analysis extracts patterns
- Pattern Storage - Patterns saved to
.claude/instincts/ - Skill Evolution - Related patterns cluster into skills
Pattern Types
- Compose patterns - UI component structures, state management
- Architecture decisions - Module organization, layer patterns
- Error handling - API error mapping, fallback strategies
- Testing patterns - Test structure, mocking approaches
- Build patterns - Dependency management, configuration
Commands
/learn # Extract patterns now
/instinct-status # View learned patterns
/instinct-export # Export for sharing
/evolve # Cluster into skills
Integration
Runs automatically via hooks:
PreCompact- Saves session contextStop- Extracts patterns from session
Remember: The more you code, the smarter your agent becomes.
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 · 42 lines · 20 tokens per session scan A 897d0019e600
continuous-learning is a skill published in the GitHub repository ahmed3elshaer/everything-claude-code-mobile (65 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 248 once invoked, about $0.0001 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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