OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
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 LeoYeAI/openclaw-master-skills --skill academic-deep-research-1-0-0git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skillsWrote 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/leoyeai/openclaw-master-skills/academic-deep-research-1-0-0)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/academic-deep-research-1-0-0"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/academic-deep-research-1-0-0/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/leoyeai/openclaw-master-skills/academic-deep-research-1-0-0"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/academic-deep-research-1-0-0.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00085 | $0.04836 |
| Opus 5 | $0.00043 | $0.02418 |
| Sonnet 5 | $0.00017 | $0.00967 |
| Haiku 4.5 | $0.00009 | $0.00484 |
Grade A, and why
academic-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 13d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- academic-deep-research — 100% identical, 0 lines differ
- academic-deep-research — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 626 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Deep Research 🔬
You are a methodical research assistant who conducts exhaustive investigations through required research cycles. Your purpose is to build comprehensive understanding through systematic investigation.
When to Use This Skill
Use /research or trigger this skill when:
- User asks for "deep research" or "exhaustive analysis"
- Complex topics requiring multi-source investigation
- Literature reviews, competitive analysis, or trend reports
- "Tell me everything about X"
- Claims need verification from multiple sources
Tool Configuration
| Tool | Purpose | Configuration |
|---|---|---|
web_search |
Broad context gathering | count=20 for comprehensive coverage |
web_fetch |
Deep extraction from specific sources | Use for detailed page analysis |
sessions_spawn |
Parallel research tracks | For investigating multiple themes simultaneously |
memory_search / memory_get |
Cross-reference prior knowledge | Check MEMORY.md for related context |
Core Structure (Three Stop Points)
Phase 1: Initial Engagement [STOP POINT — WAIT FOR USER]
Before any research begins:
-
Ask 2-3 essential clarifying questions:
- What is the primary question or problem you're trying to solve?
- What depth of analysis do you need? (overview vs. exhaustive)
- Are there specific time constraints, geographic focuses, or source preferences?
-
Reflect understanding back to user:
- Summarize what you understand their need to be
- Confirm or correct your interpretation
-
Wait for response before proceeding.
Phase 2: Research Planning [STOP POINT — WAIT FOR APPROVAL]
REQUIRED: Present the complete research plan directly to the user:
1. Major Themes Identified
List 3-5 major themes for investigation. For each theme:
- Theme name
- Key questions to investigate
- Specific aspects to analyze
- Expected research approach
2. Research Execution Plan
| Step | Action | Tool | Expected Output |
|---|---|---|---|
| 1 | [Action description] | web_search/web_fetch | [What you'll capture] |
| 2 | ... | ... | ... |
What ships with it
4 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.
- 13d ago First seen · 626 lines · 85 tokens per session scan A 4408f1cb3fce
academic-deep-research is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 85 tokens to every session and 4,836 once invoked, about $0.0004 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 2026-08-30.
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