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 poco-ai/Agentero --skill acdemic-drawinggit clone --depth 1 https://github.com/poco-ai/AgenteroWrote 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/poco-ai/agentero/acdemic-drawing)<a href="https://agentmods.dev/skills/poco-ai/agentero/acdemic-drawing"><img src="https://agentmods.dev/badge/skills/poco-ai/agentero/acdemic-drawing/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/poco-ai/agentero/acdemic-drawing"><img src="https://agentmods.dev/badge/skills/poco-ai/agentero/acdemic-drawing.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 | $0.00030 | $0.02245 |
| Opus 5.5 | $0.00012 | $0.00898 |
| Sonnet 5.5 | $0.00006 | $0.00449 |
| Haiku 4.5 | $0.00003 | $0.00225 |
Grade A, and why
acdemic-drawing 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 29d 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 — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Drawing Skill
Generate .excalidraw JSON files for academic visual arguments — diagrams that communicate research concepts, workflows, and relationships in scholarly contexts.
Setup: If the user asks you to set up this skill (renderer, dependencies, etc.), see README.md for instructions.
Customization
All colors and styles live in one file: references/color-palette.md. Read it before generating any diagram.
To customize for your own research style, edit color-palette.md.
Academic Core Philosophy
Diagrams should ARGUE visually, not just display.
A research diagram isn't formatted text — it's a visual argument showing relationships, causality, and flow that words alone can't express. The shape should BE the meaning.
Isomorphism Test: If you removed all text, would the structure alone communicate the research concept?
Education Test: Could someone learn something concrete from this diagram?
Academic Diagram Types
1. Paper Structure Diagram
Shows: Overall organization of a research paper
Visual patterns:
- Top-down flow (IMRaD format: Introduction → Methods → Results → Discussion)
- Section boxes with connecting arrows showing logical flow
- Could use timeline or assembly line pattern
2. Research Methodology Flow
Shows: How research was conducted
Visual patterns:
- Multi-stage process (Design → Data Collection → Analysis → Findings)
- Use timeline or assembly line pattern
- Include decision points (diamond shapes) for methodological choices
3. Literature Review Map
Shows: Relationships between existing works
Visual patterns:
- Fan-out: central concept with related works radiating out
- Convergence: multiple approaches merging into a synthesis
- Network: interconnected nodes showing citation relationships
- Use lines + free-floating text, not boxes
4. Conceptual Framework
Shows: Theoretical underpinning of research
Visual patterns:
- Hierarchical tree showing constructs and relationships
- Cloud shapes for abstract theoretical concepts
- Arrows showing hypotheses or influences
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.
- 29d ago First seen · 362 lines · 30 tokens per session scan A 12c9401758a6
acdemic-drawing is a skill published in the GitHub repository poco-ai/Agentero (960 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 2,245 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-17.
Other skills, from other repositories
source-verify
A source-checking workflow for confirming that medical information comes from an authoritative, complete, and currently valid document.
sn-search-academic
An academic research tool for finding papers and encyclopedia entries, reading papers in full or by section, and tracing references and citations. It supports structured literature research.
imaging-data-commons
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
paper-revision-author
Revise independently drafted paper sections into one coherent LaTeX body before the abstract is written.
molecular-cloning
Molecular cloning simulation and design. PCR amplicon prediction, restriction enzyme digestion, Golden Gate and Gibson assembly simulation, primer design, CRISPR sgRNA design, and plasmid annotation. For protein-level sequence analysis use biopython or esm; for database lookups use gene-database or ensembl-database.
geo-database
Access NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.