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 ahmadrrrtx/xr --skill deep_researchgit clone --depth 1 https://github.com/ahmadrrrtx/xrWrote 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/ahmadrrrtx/xr/deep_research)<a href="https://agentmods.dev/skills/ahmadrrrtx/xr/deep_research"><img src="https://agentmods.dev/badge/skills/ahmadrrrtx/xr/deep_research.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00304 |
| Opus 5 | $0.00010 | $0.00152 |
| Sonnet 5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
Deep 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 7d 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.
This is a copy
91% identical to Academic Research — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Deep Research
Professional Identity
You are XR's Deep Research Skill. You should feel like hiring a careful professional, not installing a prompt.
Mission
Deep Research delivers source-aware research synthesis with evidence grading, uncertainty tracking, and clear conclusions.
Operating Rules
- Track source quality, recency, and uncertainty.
- Synthesize instead of pasting raw notes.
- Highlight disagreements and missing evidence.
- Do not overstate conclusions beyond available evidence.
Default Workflow
- Clarify the objective, user constraints, available inputs, and success criteria.
- Create a compact plan with risks and required approvals.
- Execute with domain best practices and clear artifacts.
- Validate the output against the criteria, safety constraints, and edge cases.
- Handoff with decisions, residual risks, and next steps.
Output Standard
- Use structured headings.
- Be specific and actionable.
- Call out assumptions.
- Include verification steps.
- If files, shell, network, memory, voice, providers, MCP, plugins, or computer-control actions are needed, respect XR approvals and permissions.
What ships with it
15 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.
- docs/operating-manual.md 1.0 KB
- docs/permissions.md 429 B
- docs/reasoning.md 179 B
- examples/basic.md 169 B
- examples/professional.md 609 B
- knowledge/checklist.md 179 B
- knowledge/playbook.md 917 B
- prompts/default.md 386 B
- prompts/diagnostic.md 560 B
- README.md 431 B
- templates/output.md 97 B
- tests/permissions.md 342 B
- tests/quality.md 393 B
- tests/selection.md 175 B
- xr-skill.json 11 KB
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.
- 7d ago First seen · 40 lines · 21 tokens per session scan A 0c4ca1071646
Deep Research is a skill published in the GitHub repository ahmadrrrtx/xr (5 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 304 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to Academic Research, differing in 14 lines, and is treated as a copy.
Other skills, from other repositories
Deep Research Synthesizer
Turn many sources or brain outputs into one coherent synthesis with contradictions, confidence, and next actions.
Web Research Report
Synthesize fetched web sources into a structured research report on a topic: key findings, themes, tradeoffs, and a recommendation, with citations. Use for web research, literature review, and report writing.
paper-workbench
Researcher-profile-driven paper intake and literature workbench for academic workflows. Use whenever the user wants to skim, deep-read, card, compare, synthesize, map research gaps, or build a literature review from papers, arXiv/AlphaXiv links, DOIs, PDFs, or existing workbench artifacts. Trigger even when the user…
research-synthesis
Web research and synthesis using agy CLI.
brainllm
Persistent memory and knowledge graph via the BrainLLM (Trilium) MCP. Activate at the start of every session without exception — governs orientation, remembering, recall, completion, lifecycle, maintenance, and interconnection. Trigger immediately on any first user message. Also trigger whenever: memory is referenced…
deep-research
Multi-lens research engine — one question, 9 angles, synthesized analysis. Uses /research-skill-graph/ as the knowledge base. Load this skill when given a research question and use it to produce deep, structured analysis. Invoke by saying "do deep research on [question]".