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 beita6969/ScienceClaw --skill academic-deep-researchgit clone --depth 1 https://github.com/beita6969/ScienceClawWrote 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/beita6969/scienceclaw/academic-deep-research)<a href="https://agentmods.dev/skills/beita6969/scienceclaw/academic-deep-research"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/academic-deep-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/beita6969/scienceclaw/academic-deep-research"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/academic-deep-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 | $0.00085 | $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 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.
This is a copy
100% identical to academic-deep-research — 0 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.
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
5 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.
- 11d ago First seen · 626 lines · 85 tokens per session scan A 4408f1cb3fce
academic-deep-research is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo 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. It is 100% identical to academic-deep-research, differing in 0 lines, and is treated as a copy.
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