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 philschmid/self-learning-skill --skill self-learninggit clone --depth 1 https://github.com/philschmid/self-learning-skillWrote 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/philschmid/self-learning-skill/self-learning)<a href="https://agentmods.dev/skills/philschmid/self-learning-skill/self-learning"><img src="https://agentmods.dev/badge/skills/philschmid/self-learning-skill/self-learning/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/philschmid/self-learning-skill/self-learning"><img src="https://agentmods.dev/badge/skills/philschmid/self-learning-skill/self-learning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
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 | $0.00081 | $0.00979 |
| Opus 5.5 | $0.00032 | $0.00392 |
| Sonnet 5.5 | $0.00016 | $0.00196 |
| Haiku 4.5 | $0.00008 | $0.00098 |
Grade A, and why
self-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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- self-learning — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Self-Learning Skill Generator
Autonomously research and learn new technologies from the web, then generate a reusable skill.
Usage
/learn <topic>
If <topic> is missing, show usage. If topic is ambiguous, ask to clarify:
- "react" → "React for web, React Native, or a specific library like react-query?"
- "apollo" → "Apollo GraphQL client, Apollo Server, or Apollo Federation?"
- "aws" → "Which AWS service? (S3, Lambda, DynamoDB, etc.)"
Normalize to kebab-case for filenames.
2. Discover Sources (Web Search)
Use web search tool to find authoritative documentation:
Search queries to try:
<topic> official documentation<topic> getting started guide<topic> API reference<topic> GitHub repository
Source prioritization:
- Official docs sites (e.g., docs.*, *.dev)
- Official GitHub repositories (README, /docs)
- Official blogs/announcements
Select 3–5 high-quality URLs maximum.
If no credible sources found, ask user to provide a URL.
3. Extract Content (URL Reading)
For each selected URL, read the content:
Extract only relevant sections:
- Installation / setup
- Core concepts
- API reference / key functions
- Common patterns / examples
- Version information
Skip irrelevant content:
- Navigation, ads, login prompts
- Unrelated sidebar content
- Comments, forums
If reading the content fails (JavaScript-heavy sites), fall back to browser agent:
Task: Navigate to <URL> and extract the main content including:
- Installation instructions
- Core concepts and API reference
- Code examples
Return the extracted content as markdown.
Record scrape timestamp for each source (use current date: YYYY-MM-DD format).
4. Generate Skill
Skills are modular, self-contained packages. Every skill consists of a required SKILL.md file and optional bundled resources:
skill-name/
├── SKILL.md (required)
│ ├── YAML frontmatter metadata (required)
│ │ ├── name: (required)
│ │ └── description: (required)
│ └── Markdown instructions (required)
└── Bundled Resources (optional)
├── scripts/ - Executable code (Python/Bash/etc.)
├── references/ - Documentation intended to be loaded into context as needed
└── assets/ - Files used in output (templates, icons, fonts, etc.)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 134 lines · 81 tokens per session scan A d2d9d1d3b2cf
self-learning is a skill published in the GitHub repository philschmid/self-learning-skill (96 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 81 tokens to every session and 979 once invoked, about $0.0003 per session on Opus 5.5. 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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