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-comicgit 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-comic)<a href="https://agentmods.dev/skills/proyecto26/sherlock-ai-plugin/paper-comic"><img src="https://agentmods.dev/badge/skills/proyecto26/sherlock-ai-plugin/paper-comic.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 105 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 111 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 117 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00058 | $0.01338 |
| Opus 5 | $0.00029 | $0.00669 |
| Sonnet 5 | $0.00012 | $0.00268 |
| Haiku 4.5 | $0.00006 | $0.00134 |
Grade A, and why
paper-comic 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Comic - Academic Paper to Comic Generator
Transform academic papers into coherent educational comics, making complex concepts easier to understand through visual storytelling.
Usage
/paper-comic /path/to/paper.pdf
/paper-comic /path/to/paper.pdf --style tech
/paper-comic # Then paste the paper content
Art Style Options
| Style | Features | Suitable Papers |
|---|---|---|
| classic | Clean-line style, simple and professional, easy to read | General purpose, most papers (default) |
| tech | Futuristic look, circuit and neon elements | AI/Computer/Engineering papers |
| warm | Gentle tone, nostalgic feeling, approachable | Psychology/Cognitive Science/Education |
| chalk | Blackboard effect, academic atmosphere | Math/Physics/Theoretical papers |
Output Structure
[output-dir]/
├── outline.md # Storyboard and scene outline
├── characters/
│ ├── characters.md # Character definitions
│ └── characters.png # Character reference image
├── prompts/
│ ├── 00-cover.md # Cover prompt
│ └── XX-page.md # Page prompts
├── 00-cover.png # Cover page
└── XX-page.png # Comic pages
Output Directory:
- If source files exist:
[source-dir]/comic/ - If no source files:
comic-outputs/YYYY-MM-DD/[topic-slug]/
Workflow
Step 1: Analyze the Paper
- Read paper content (PDF or Markdown)
- Extract key information:
- Paper title and authors
- Research background and motivation
- Core innovations (1–3)
- Key methods/algorithms
- Main experimental results
- Automatically recommend an art style based on the paper field (or use user-specified style)
Step 2: Design Narrative Structure
Four-part structure (suitable for 8–12 pages of comic):
| Stage | Pages | Content |
|---|---|---|
| Introduction | 1–2 pages | Problem background — why the research is needed |
| Exploration | 2–3 pages | Limitations of existing methods, leading to innovation |
| Core | 3–5 pages | Explain the innovation in detail, visualized with metaphors |
| Summary | 1–2 pages | Experimental results, significance, and future outlook |
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.
- 7d ago First seen · 181 lines · 58 tokens per session scan A c1723360ee89
paper-comic is a skill published in the GitHub repository proyecto26/sherlock-ai-plugin (35 stars, last pushed 7d ago), licensed MIT. It adds 58 tokens to every session and 1,338 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-comic
Generate educational comics from academic papers, using visual storytelling to explain core ideas and innovations. Supports 4 art styles: classic (clean lines), tech (futuristic), warm (friendly), chalk (blackboard). Uses genimg-gemini-web to generate images.
genimg-gemini-web
Image generation skill using Gemini Web. Generates images from text prompts via Google Gemini. Also supports text generation. Use as the image generation backend for other skills like cover-image, xhs-images, article-illustrator.
paper-visualizer
Transform research papers into professional visual schemas. Analyzes paper logic, selects optimal layout patterns, and generates detailed prompts for AI image generation.
paper-analyzer
Transform academic papers into in-depth technical articles with multiple writing style options. Use the MinerU Cloud API for high-precision PDF parsing, automatically extracting images, tables, and formulas. Optional formula explanations and GitHub code analysis, generating Markdown and HTML formats.
academic-deck-animator
A tool for creating animated academic presentations from one JSON content file. It can produce a browser-based HTML presentation or an editable PowerPoint file; academic presentations are talks used to explain research to reviewers, classmates, or other researchers.
paper2code
Analyzes research papers (PDF/arXiv URL) and converts them into executable code. Automatically activated upon requests for paper replication, algorithm implementation, or research reproduction. Responds to requests like "Implement this paper", "paper2code", "Convert paper to code".