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/naimkatiman/continuous-improvement/learnernpx skills add naimkatiman/continuous-improvement --skill learnergit clone --depth 1 https://github.com/naimkatiman/continuous-improvementWrote 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/naimkatiman/continuous-improvement/learner)<a href="https://agentmods.dev/skills/naimkatiman/continuous-improvement/learner"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/learner.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 | $0.00011 | $0.01437 |
| Opus 5 | $0.00005 | $0.00718 |
| Sonnet 5 | $0.00002 | $0.00287 |
| Haiku 4.5 | $0.00001 | $0.00144 |
Grade A, and why
learner 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learner Skill
Deprecated compatibility alias: use
/oh-my-claudecode:skillifyfor new skill extraction workflows. This file remains for internal implementation/history and compatibility.
This is a Level 7 (self-improving) skill. It has two distinct sections:
- Expertise: Domain knowledge about what makes a good skill. Updated automatically as patterns are discovered.
- Workflow: Stable extraction procedure. Rarely changes.
Only the Expertise section should be updated during improvement cycles.
Expertise
This section contains domain knowledge that improves over time. It can be updated by the learner itself when new patterns are discovered.
Core Principle
Reusable skills are not code snippets to copy-paste, but principles and decision-making heuristics that teach Claude HOW TO THINK about a class of problems.
The difference:
- BAD (mimicking): "When you see ConnectionResetError, add this try/except block"
- GOOD (reusable skill): "In async network code, any I/O operation can fail independently due to client/server lifecycle mismatches. The principle: wrap each I/O operation separately, because failure between operations is the common case, not the exception."
Quality Gate
Before extracting a skill, ALL three must be true:
- "Could someone Google this in 5 minutes?" → NO
- "Is this specific to THIS codebase?" → YES
- "Did this take real debugging effort to discover?" → YES
Recognition Signals
Extract ONLY after:
- Solving a tricky bug that required deep investigation
- Discovering a non-obvious workaround specific to this codebase
- Finding a hidden gotcha that wastes time when forgotten
- Uncovering undocumented behavior that affects this project
What Makes a USEFUL Skill
-
Non-Googleable: Something you couldn't easily find via search
- BAD: "How to read files in TypeScript" ❌
- GOOD: "This codebase uses custom path resolution in ESM that requires fileURLToPath + specific relative paths" ✓
-
Context-Specific: References actual files, error messages, or patterns from THIS codebase
- BAD: "Use try/catch for error handling" ❌
- GOOD: "The aiohttp proxy in server.py:42 crashes on ClientDisconnectedError - wrap StreamResponse in try/except" ✓
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.
- yesterday First seen · 169 lines · 11 tokens per session scan A 1336c2dab405
learner is a skill published in the GitHub repository naimkatiman/continuous-improvement (7 stars, last pushed 10d ago), licensed MIT. It adds 11 tokens to every session and 1,437 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 2026-09-03.
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