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 arifaidev/learnonetech-mcp --skill learnonetech-researchgit clone --depth 1 https://github.com/arifaidev/learnonetech-mcpWrote 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/arifaidev/learnonetech-mcp/learnonetech-research)<a href="https://agentmods.dev/skills/arifaidev/learnonetech-mcp/learnonetech-research"><img src="https://agentmods.dev/badge/skills/arifaidev/learnonetech-mcp/learnonetech-research/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/arifaidev/learnonetech-mcp/learnonetech-research"><img src="https://agentmods.dev/badge/skills/arifaidev/learnonetech-mcp/learnonetech-research.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 | $0.00066 | $0.00578 |
| Opus 5 | $0.00033 | $0.00289 |
| Sonnet 5 | $0.00013 | $0.00116 |
| Haiku 4.5 | $0.00007 | $0.00058 |
Grade A, and why
learnonetech-research 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LearnOneTech Research Skill
Use the LearnOneTech MCP tools to find and retrieve relevant content from https://learnonetech.com.
When to use
Use this skill when the request involves:
- Android phones or tablets
- Samsung, Xiaomi, Nokia, or other mobile devices
- Android apps and mobile software
- FRP and device-recovery topics
- Troubleshooting guides
- Finding or summarizing LearnOneTech articles
- Research where LearnOneTech may contain useful supporting information
Research workflow
- Start with
search_articlesfor a specific topic or question. - Review titles, excerpts, dates, and URLs from the search results.
- Use
get_articlewith the exact slug or ID when the full article is needed. - Use
list_categorieswhen category discovery helps narrow the search. - Use
search_sitewhen the user may be looking for a page as well as an article. - Use
list_articlesfor recent-content discovery when no specific keyword is available. - Use
site_infowhen site scope or API information needs to be confirmed.
Answering rules
- Prefer the most relevant and current LearnOneTech article when it directly answers the request.
- Do not claim that LearnOneTech has an article unless the MCP actually returns it.
- Preserve the canonical article URL returned by the MCP when citing or recommending a source.
- Distinguish clearly between information retrieved from LearnOneTech and general knowledge.
- If multiple articles are relevant, synthesize them instead of unnecessarily reproducing their full text.
- Never invent article titles, URLs, publication dates, or technical instructions.
- Keep answers concise unless the user asks for a detailed guide.
Device-recovery safety
For FRP, account locks, device recovery, or similar security-sensitive topics, frame guidance for devices the user owns or is authorized to service. Do not help bypass authentication or access controls on someone else's device or account.
Tool selection examples
- "Find Samsung FRP articles" →
search_articles - "Show the latest LearnOneTech guides" →
list_articles - "Read this LearnOneTech article" →
get_article - "What categories cover Android?" →
list_categories - "Find LearnOneTech pages about a topic" →
search_site
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.
- 8d ago First seen · 57 lines · 66 tokens per session scan A 6e1853cb5662
learnonetech-research is a skill published in the GitHub repository arifaidev/learnonetech-mcp (0 stars, last pushed 11d ago), licensed MIT. It adds 66 tokens to every session and 578 once invoked, about $0.0003 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 2026-08-31.
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