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 lsh1215/oh-my-study-with-me --skill researchgit clone --depth 1 https://github.com/lsh1215/oh-my-study-with-meWrote 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/lsh1215/oh-my-study-with-me/research)<a href="https://agentmods.dev/skills/lsh1215/oh-my-study-with-me/research"><img src="https://agentmods.dev/badge/skills/lsh1215/oh-my-study-with-me/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/lsh1215/oh-my-study-with-me/research"><img src="https://agentmods.dev/badge/skills/lsh1215/oh-my-study-with-me/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 | $0.00042 | $0.01625 |
| Opus 5 | $0.00021 | $0.00813 |
| Sonnet 5 | $0.00008 | $0.00325 |
| Haiku 4.5 | $0.00004 | $0.00162 |
Grade A, and why
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 11d 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research - Multi-Source Research & Synthesis Skill
Argument Parsing
- No argument → ask the user for a research topic or URLs
[topic]→ use WebSearch to find relevant sources, then synthesize[url1 url2 ...]→ fetch and analyze the provided URLs directly[topic] [url1 url2 ...]→ combine user-provided URLs with additional web research
Argument: $ARGUMENTS
Difference from /oh-my-study-with-me:study
| research | study | |
|---|---|---|
| Scope | Multiple sources, broad coverage | Single source, deep dive |
| Depth | Wide (cross-source synthesis) | Deep (Why? dialogue) |
| Interaction | Mostly autonomous gather + synthesize | Interactive Socratic dialogue |
| Output | Research summary with source attribution | Study memo with verification |
| Best for | Surveying a topic, comparing approaches, finding consensus | Mastering one book/article in depth |
The two skills are complementary:
- Use
/oh-my-study-with-me:researchto survey the landscape of a topic. - Use
/oh-my-study-with-me:studyto deep dive into the most important source. - Use
/oh-my-study-with-me:blogto write about your findings.
Phase 0: Source Collection
-
Parse user input to detect source types:
- URLs (http/https) → categorize as web article, GitHub repo, or YouTube
- Plain text topic → will need WebSearch in Phase 1
- Mixed (topic + URLs) → use both provided URLs and search for more
-
Classify each source:
Pattern Type Fetch Method github.com/{owner}/{repo}GitHub repo WebFetch for README + ghCLI for repo structureyoutube.com/watchoryoutu.be/YouTube WebFetch (best-effort page info, description) Other http(s)://Web article WebFetch No URL Topic search WebSearch → collect top results -
Show the source plan to the user:
Research Plan: - Topic: [topic] - Sources to fetch: [list with types] - Additional web search: yes/noAsk the user to confirm or add/remove sources.
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.
- 11d ago First seen · 197 lines · 0 tokens per session scan A 34365dcc2dc8
research is a skill published in the GitHub repository lsh1215/oh-my-study-with-me (8 stars, last pushed 6mo ago), licensed MIT. It adds 42 tokens to every session and 1,625 once invoked, about $0.0002 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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