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 proyecto26/sherlock-ai-plugin --skill paper-analyzergit clone --depth 1 https://github.com/proyecto26/sherlock-ai-pluginWrote 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/proyecto26/sherlock-ai-plugin/paper-analyzer)<a href="https://agentmods.dev/skills/proyecto26/sherlock-ai-plugin/paper-analyzer"><img src="https://agentmods.dev/badge/skills/proyecto26/sherlock-ai-plugin/paper-analyzer.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 | $0.00055 | $0.00659 |
| Opus 5 | $0.00028 | $0.00329 |
| Sonnet 5 | $0.00011 | $0.00132 |
| Haiku 4.5 | $0.00006 | $0.00066 |
Grade A, and why
paper-analyzer 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.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Paper Analyzer – In-Depth Analysis of Academic Papers
Core Capabilities
- MinerU Cloud API for high-precision PDF parsing
- Automatic extraction of images, tables, and LaTeX formulas
- Multiple writing styles: storytelling / academic / concise
- Optional formula explanations: insert formula images with detailed symbol explanations
- Optional code analysis: combine explanations with GitHub open-source code
- Output Markdown + HTML (base64-embedded images)
Prerequisites
MinerU API Token
- Visit https://mineru.net and register an account
- Obtain an API Token
- Set an environment variable (recommended):
export MINERU_TOKEN="your_token_here"
Dependency Installation
pip install requests markdown
Workflow
Step 1: PDF Parsing (Using MinerU API)
python scripts/mineru_api.py <pdf_path> <output_dir>
Or pass the token directly:
python scripts/mineru_api.py paper.pdf ./output YOUR_TOKEN
Output:
output_dir/*.md– Markdown files (including formulas and tables)output_dir/images/– High-quality extracted images
Step 2: Extract Paper Metadata
python scripts/extract_paper_info.py <output_dir>/*.md paper_info.json
Step 3: Style Selection (Ask the User)
Before generating the article, you must ask the user to choose the following options:
1. Writing Style (Required)
| Style | Characteristics | Use Cases |
|---|---|---|
| storytelling | Starts from intuition, uses metaphors and examples, narrative-driven | Blogs, tech columns, popular science |
| academic | Professional terminology, rigorous expression, preserves original concepts | Academic reports, surveys, research group sharing |
| concise | Straight to the point, tables and lists, high information density | Quick reads, paper overviews, technical research |
2. Formula Option (Optional)
| Option | Description |
|---|---|
| with-formulas | Insert formula images and explain symbol meanings in detail |
| no-formulas (default) | Pure text description, no formula images |
What ships with it
14 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.
- cover-prompt-simple.txt 766 B
- cover-prompt.md 1.2 KB
- requirements.txt 32 B
- scripts/convert_pdf.py 5.2 KB runs code
- scripts/extract_paper_info.py 3.7 KB runs code
- scripts/generate_html.py 4.0 KB runs code
- scripts/mineru_api.py 9.8 KB runs code
- styles/academic.md 1.4 KB
- styles/concise.md 1.3 KB
- styles/no-code.md 377 B
- styles/no-formulas.md 742 B
- styles/storytelling.md 1.4 KB
- styles/with-code.md 945 B
- styles/with-formulas.md 633 B
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 · 95 lines · 55 tokens per session scan A 972483dee542
paper-analyzer is a skill published in the GitHub repository proyecto26/sherlock-ai-plugin (35 stars, last pushed 6d ago), licensed MIT. It adds 55 tokens to every session and 659 once invoked, about $0.0003 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.
Other skills, from other repositories
paper-compile
A build workflow that turns LaTeX source files into a PDF and checks whether the paper compiles correctly. LaTeX is a text-based system commonly used for academic papers.
ccs-submission
Use when auditing an ACM CCS submission for HotCRP readiness, dual-cycle abstract registration and full-paper deadlines, the 12-page ACM sigconf body, anonymization, the ethics considerations appendix, artifact-availability posture, dual-submission policy, per-cycle submission caps, desk-reject triggers, and…
acmmm-camera-ready
Use when preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely, completing the ACM rights form and CCS concepts, meeting ACM sigconf requirements, releasing code/data/media artifacts and any earned reproducibility badge, registering, and planning the oral/poster presentation in…
fin-paper-convert
Compile LaTeX to PDF and convert to target journal format.
beamer-deck
Create an academic presentation as a LaTeX Beamer source and reviewed PDF with an original theme. Use when the requested deliverable is a conference, seminar, or lecture deck in Beamer. Not for PowerPoint or RevealJS; use $pptx or $quarto-deck.
bib-parse
Extract citations from a PDF and generate a validated .bib file. Use when the user asks to extract citations from a PDF and generate a validated .bib file. Reads the PDF, identifies referenced works, constructs BibTeX entries, and verifies metadata.