Borrowing it
Nothing to install: this file belongs to Railly/agent-brain. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Railly/agent-brain/main/.agents/skills/research/SKILL.mdgit clone --depth 1 https://github.com/Railly/agent-brainWrote 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/railly/agent-brain/research)<a href="https://agentmods.dev/skills/railly/agent-brain/research"><img src="https://agentmods.dev/badge/skills/railly/agent-brain/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/railly/agent-brain/research"><img src="https://agentmods.dev/badge/skills/railly/agent-brain/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 | $0.00010 | $0.00271 |
| Opus 5.5 | $0.00004 | $0.00108 |
| Sonnet 5.5 | $0.00002 | $0.00054 |
| Haiku 4.5 | $0.00001 | $0.00027 |
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 2mo 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
Topic: $ARGUMENTS
Research Methods (choose based on need)
Static Content (default)
- Use the runtime's web search capability to find relevant information
- Use the runtime's page fetch capability to read key sources
Dynamic/Interactive Content (use agent-browser)
When pages require JavaScript, login, or interaction:
agent-browser open "https://example.com"
agent-browser snapshot -i
agent-browser click @e3 # if needed
agent-browser snapshot -i # get updated content
agent-browser close
Process
- Search and gather sources with the runtime's web tools or agent-browser
- Synthesize findings into structured notes
- Save to
05_Areas/research/$ARGUMENTS.mdwith:- Summary
- Key points
- Sources
- Action items if applicable
Format:
# $ARGUMENTS
## Summary
Brief overview of the topic.
## Key Points
- Point 1
- Point 2
## Sources
- [Title](url)
## Action Items
- [ ] Next step
## Related
- [[Related Topic]]
Link to relevant existing notes if applicable.
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.
- 2mo ago First seen · 56 lines · 10 tokens per session scan A 8cc5ef0999d3
research is a skill published in the GitHub repository Railly/agent-brain (22 stars, last pushed 3mo ago), licensed MIT. It adds 10 tokens to every session and 271 once invoked, about $0.0000 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.
research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| researchRailly/agent-brain | Skill | 22 | 3mo ago | MIT | A | 10 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |