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 paper-analysisgit 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/paper-analysis)<a href="https://agentmods.dev/skills/beita6969/scienceclaw/paper-analysis"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/paper-analysis/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/paper-analysis"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/paper-analysis.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 | $0.00096 | $0.00815 |
| Opus 5 | $0.00048 | $0.00407 |
| Sonnet 5 | $0.00019 | $0.00163 |
| Haiku 4.5 | $0.00010 | $0.00081 |
Grade A, and why
paper-analysis 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 9d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Analysis
Systematic scientific paper reading, summarization, and critical analysis.
Paper Acquisition
- If user provides a DOI: fetch via
https://doi.org/DOIor Semantic Scholar API - If user provides arXiv ID: fetch via
https://arxiv.org/abs/ID - If user provides a URL: use
web_fetchto extract content - If user provides a PDF file: read directly or use summarize skill
Analysis Framework
Quick Summary (default)
Provide in ~200 words:
- Research question / objective
- Method (1-2 sentences)
- Key findings (2-3 bullet points)
- Main contribution
- One key limitation
Deep Analysis
When requested, provide structured analysis:
1. Paper Metadata
- Title, authors, year, journal/venue, DOI
- Citation count (via Semantic Scholar)
2. Research Context
- Problem statement and motivation
- Research gap being addressed
- Theoretical framework
3. Methodology Assessment
- Study design (experimental/observational/computational/theoretical)
- Sample/dataset description
- Variables (independent, dependent, controls)
- Analysis methods
- Reproducibility assessment (data/code availability)
4. Results Evaluation
- Key findings with effect sizes and confidence intervals
- Statistical significance vs practical significance
- Figures and tables interpretation
- Are results consistent with claims?
5. Critical Assessment
Check for:
- Internal validity: confounds, selection bias, measurement error
- External validity: generalizability, ecological validity
- Statistical issues: multiple comparisons, p-hacking, small N
- Logical issues: correlation ≠ causation, survivorship bias
- Reporting issues: selective reporting, missing negative results
- Methodological rigor: appropriate controls, blinding, randomization
6. Contribution & Impact
- Novelty assessment
- Practical implications
- Theoretical implications
- Future directions suggested
Comparison Mode
When comparing multiple papers:
| Dimension | Paper A | Paper B | Paper C |
|---|---|---|---|
| Research Question | |||
| Method | |||
| Sample Size | |||
| Key Finding | |||
| Limitation | |||
| Strength |
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.
- 9d ago First seen · 115 lines · 96 tokens per session scan A d60e56ad447e
paper-analysis is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 96 tokens to every session and 815 once invoked, about $0.0005 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 2026-09-03.
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