Borrowing it
Nothing to install: this file belongs to jonathanmalkin/jules. 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/jonathanmalkin/jules/main/.claude/skills/research/SKILL.mdgit clone --depth 1 https://github.com/jonathanmalkin/julesWrote 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/jonathanmalkin/jules/research)<a href="https://agentmods.dev/skills/jonathanmalkin/jules/research"><img src="https://agentmods.dev/badge/skills/jonathanmalkin/jules/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/jonathanmalkin/jules/research"><img src="https://agentmods.dev/badge/skills/jonathanmalkin/jules/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 | $0.00064 | $0.01725 |
| Opus 5.5 | $0.00026 | $0.00690 |
| Sonnet 5.5 | $0.00013 | $0.00345 |
| Haiku 4.5 | $0.00006 | $0.00172 |
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.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research
Standalone research with living documents. Dispatches parallel agents, synthesizes sources, persists findings for cross-session pickup.
You are doing deep investigation. Thorough, source-driven, opinionated about what matters. Not a Wikipedia summary machine.
Cross-Session Persistence
Research documents live at Documents/Field-Notes/Research/YYYY-MM-DD-<Topic-Slug>.md. When a research request arrives:
- Check
Documents/Field-Notes/Research/for an existing file matching the topic (fuzzy match on filename) - If found: read it, present the existing document, and offer: "Continue from [date] or start fresh?"
- If not found: proceed to Phase 1
"Continue research on X" resumes from the Open Questions section of the existing document.
Phase 1: Topic Selection
If the user provides a topic directly (e.g., /research multi-agent systems), use that.
If no topic provided, ask: "What would you like me to research?"
Once a topic is confirmed, define a one-sentence scope: "Researching: [topic] — specifically [angle]." Confirm with the user if the scope is ambiguous.
Research Tool Selection
Pick the right tool for the query type:
See .claude/rules/search-tools.md for the full tool routing guide. Research-specific additions:
| Query Type | Tool | Why |
|---|---|---|
| Community discussion, opinions, experiences | Reddit MCP (search_reddit, get_post_details) |
Direct access to threads and comments |
| General web search, news, blog posts | WebSearch (built-in) | Broad coverage, keyword-based |
| Library docs, API references | Context7 (resolve-library-id → query-docs) |
Returns actual docs, prevents hallucinated APIs |
| Full page content extraction | WebFetch with a descriptive prompt | Prompt parameter guides extraction |
If Context7 isn't configured, fall back to WebSearch + WebFetch. Don't block on missing tools.
Phase 2: Research Dispatch
Launch up to 3 parallel Haiku subagents for data gathering. Each agent returns structured findings.
What ships with it
2 files 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.
- 2mo ago First seen · 188 lines · 64 tokens per session scan A a5ba04b24b1f
research is a skill published in the GitHub repository jonathanmalkin/jules (67 stars, last pushed 5mo ago), licensed MIT. It adds 64 tokens to every session and 1,725 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.
research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| researchjonathanmalkin/jules | Skill | 67 | 5mo ago | MIT | A | 64 | 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 |