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 hdu-ailab/EasyResearch --skill drawiogit clone --depth 1 https://github.com/hdu-ailab/EasyResearchWrote 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/hdu-ailab/easyresearch/drawio)<a href="https://agentmods.dev/skills/hdu-ailab/easyresearch/drawio"><img src="https://agentmods.dev/badge/skills/hdu-ailab/easyresearch/drawio.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 | $0.00084 | $0.03545 |
| Opus 5 | $0.00042 | $0.01773 |
| Sonnet 5 | $0.00017 | $0.00709 |
| Haiku 4.5 | $0.00008 | $0.00354 |
Grade A, and why
drawio 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 6d 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
91% identical to drawio — 7 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Draw.io Base Skill
Create, edit, validate, replicate, import, and export draw.io diagrams through a YAML-first offline workflow. It is the single maintained base for sibling overlays and owns the local CLI, schemas, references, themes, palettes, examples, style presets, and export helpers.
Scope
Use this base skill for general draw.io work: software/system architecture; network topologies and infrastructure maps; flowcharts, swimlanes, process maps, and org charts; UML class/sequence/state/ER; Mermaid and CSV conversion; structured redraw and non-academic replication; formula-bearing technical diagrams; .drawio import, sidecar export, and local validation.
For paper, thesis, IEEE, journal, manuscript, or publication-ready figure requests, route to the sibling drawio-academic-skills overlay; the base does not apply academic publication gates. Without the overlay, render the local YAML bundle but report that overlay policy was not applied.
Runtime Stack
Use the lightest path that satisfies the request:
- Offline Authoring Path (default) — the YAML spec generates the final
.drawioplus the default delivered image, a 300dpi PNG via draw.io Desktop (standalone SVG fallback). - Desktop-Enhanced Export — 300dpi PNG default, plus PDF/JPG or embedded
.drawio.svgon explicit request. - Live Refinement Backend (optional) — browser refinement provider only; the offline bundle remains canonical. Provisioned by the tracked
.mcp.json(pinned@next-ai-drawio/[email protected], fetched over the network bynpx; seereferences/docs/mcp-tools.md); offline authoring never reads it. - Direct XML Exception — tiny one-off or raw mxGraph handoff when exact XML control is the real requirement.
The optional MCP/live backend is a refinement provider only. Never required for normal authoring, editing, import, replication, or export.
Task Routing
Choose the route first, then load only that route's references. All paths below live under references/; the reusable YAML example catalog is references/examples/README.md.
What ships with it
60 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.
- .mcp.json 133 B
- agents/interface.yaml 1.5 KB
- agents/openai.yaml 1.5 KB
- assets/catalog/ai-icons.json.gz 241 KB
- assets/catalog/shape-catalog.json.gz 59 KB
- assets/catalog/shape-index.json.gz 426 KB
- assets/examples/login-flow-test.drawio 6.6 KB
- assets/examples/login-flow.drawio 6.6 KB
- assets/examples/microservices.drawio 5.4 KB
- assets/examples/neural-network.drawio 4.7 KB
- assets/licenses/architecture-diagram-generator-MIT.txt 1.3 KB
- assets/licenses/drawio-mcp-shape-index-Apache-2.0.txt 381 B
- assets/licenses/lobe-icons-MIT.txt 1.3 KB
- assets/licenses/lucide-ISC.txt 1.9 KB
- assets/palettes/c4-blue.json 1.4 KB
- assets/palettes/cloud-aws.json 1.0 KB
- assets/palettes/drawio-classic.json 1.2 KB
- assets/palettes/ieee-bw.json 1.1 KB
- assets/palettes/ieee-color.json 601 B
- assets/palettes/journal-jama.json 741 B
- assets/palettes/journal-npg.json 863 B
- assets/palettes/matlab-lines.json 777 B
- assets/palettes/morandi.json 1.2 KB
- assets/palettes/okabe-ito.json 778 B
- assets/palettes/seaborn-colorblind.json 878 B
- assets/palettes/tol-bright.json 704 B
- assets/palettes/tol-high-contrast.json 742 B
- assets/palettes/tol-light-fill.json 1.3 KB
- assets/palettes/tol-muted.json 792 B
- assets/schemas/graph-projection.schema.json 4.5 KB
- assets/schemas/spec.schema.json 19 KB
- assets/themes/academic-color.json 6.4 KB
- assets/themes/academic.json 5.2 KB
- assets/themes/arch-dark.json 5.6 KB
- assets/themes/blueprint.json 5.6 KB
- assets/themes/dark-luxury.json 5.6 KB
- assets/themes/dark-terminal.json 5.5 KB
- assets/themes/dark.json 4.8 KB
- assets/themes/high-contrast.json 4.8 KB
- assets/themes/nature.json 4.8 KB
- assets/themes/notion-clean.json 5.5 KB
- assets/themes/tech-blue.json 4.8 KB
- CHANGELOG.md 12 KB
- evals/ai-icon-catalog-cases.json 3.0 KB
- evals/baseline-prompts.json 5.8 KB
- evals/darwin-results.tsv 1.2 KB
- evals/evals.json 13 KB
- evals/evidence/ai-icon-catalog-desktop.json 3.8 KB
- evals/fixtures/ai-icons-advanced-svg.yaml 587 B
- evals/fixtures/ai-icons-cjk-agent-rag.yaml 1.2 KB
- evals/fixtures/ai-icons-core-aliases.yaml 1.2 KB
- evals/fixtures/ai-icons-current-color.yaml 575 B
- evals/fixtures/ai-icons-gradients.yaml 573 B
- evals/fixtures/import-simple-compressed.drawio 1.0 KB
- evals/fixtures/import-simple.drawio 1.8 KB
- evals/fixtures/industrial-architecture.yaml 6.8 KB
- evals/fixtures/replicate-academic-highlight.svg 1.1 KB
- evals/fixtures/replicate-brand-architecture.svg 1.2 KB
- evals/fixtures/replicate-warm-approval.svg 1.1 KB
- evals/fixtures/vision-tall-workflow.yaml 1.0 KB
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.
- 6d ago First seen · 158 lines · 84 tokens per session scan A 912e0c8c115a
drawio is a skill published in the GitHub repository hdu-ailab/EasyResearch (11 stars, last pushed 2d ago), licensed MIT. It adds 84 tokens to every session and 3,545 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to drawio, differing in 7 lines, and is treated as a copy.
Other skills, from other repositories
research-framework-figure
A generator for editable research diagrams that show proposed relationships between concepts, such as one factor affecting another through an intermediate factor. It produces SVG and PowerPoint files, which are vector formats that can be edited without treating the figure as a fixed image.
ui-ux-pro-max
Use when designing, implementing, reviewing, or improving web and mobile UI/UX. Consults searchable design data for product patterns, styles, palettes, typography, accessibility, charts, icons, and common frontend stacks.
academic-poster
A guide for turning a research paper or abstract into a printable academic conference poster. It covers large single-page layouts, including traditional columns and a design that enlarges the main finding.
paper-visual-craft
Use when designing, redrawing, or validating research-paper figures and tables, including Matplotlib plots, LaTeX tables, benchmarks, captions, legends, annotations, color, and typography. Preserves exact evidence and checks rendered PDFs for clipping, overlap, and readability.
paper-framework-figure-studio-pro
Use when planning a source-grounded method overview, architecture, pipeline, system/data-flow, mechanism, or agent-workflow figure for a CS or deep-learning paper. Produces an editable figure brief before image generation or manual redrawing; not for plots, tables, or general prose.
report-slides
Use when creating presentations and research reports, especially diagram-heavy decks with architecture, flowcharts, timelines, charts, conceptual illustrations, or editable PPTX output.