Routa is a workspace-based coordination platform for delivering software with multiple AI agents, keeping goals, tasks, sessions, traces, evidence, and review decisions visible on a shared board. It is intended for teams managing agent-assisted development across web and desktop applications. The catalogue contains skills and instructions for working with Routa's delivery workflows.
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 phodal/routa --skill slidegit clone --depth 1 https://github.com/phodal/routaWrote 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/phodal/routa/slide)<a href="https://agentmods.dev/skills/phodal/routa/slide"><img src="https://agentmods.dev/badge/skills/phodal/routa/slide/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/phodal/routa/slide"><img src="https://agentmods.dev/badge/skills/phodal/routa/slide.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 | $0.00016 | $0.02184 |
| Opus 5.5 | $0.00006 | $0.00874 |
| Sonnet 5.5 | $0.00003 | $0.00437 |
| Haiku 4.5 | $0.00002 | $0.00218 |
Grade A, and why
slide 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 1mo 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slides Skill
Use this skill as reference material when creating or editing presentation slide decks.
Skill Folder Contents
Contents of the slides/ skill folder:
container_tools/: Standalone python scripts for slides and relevant asset manipulation.artifact_tool/: API documentation and coding examples for the artifact tool library.pptxgenjs_helpers/: JavaScript helpers for PptxGenJS.diagram_renderers/: Opinionated reusable diagram/chart renderers built on top of the helper bundle.slide_templates/: Optional slide templates to use; seeslide_templates/Overview.pngto get started.
Implementation
You MUST use PptxGenJS to implement the slide deck. Even when the user provides a template (or you use a built-in one), you MUST still generate the deck with PptxGenJS and adhere to the template’s visual style, typography, spacing, color palette, and layout conventions. The only exception is for trivial quick-edit requests, where you may use python-pptx or artifact_tool.
We also provide OpenAI-specific helper scripts under pptxgenjs_helpers/ to make it easier to use the upstream open-source library. Import and use these helpers; do not copy-paste their code into your deliverable source files.
Work in your own working directory while coding. Only copy artifacts to the requested locations after you finish building and validating the slides.
Container Tools
ensure_raster_image.py: Ensure images are rasterized; convert to PNG if needed; quick usage--input_files <img_path1> ....render_slides.py: render a PowerPoint file into a folder of PNG slides using default sizing; quick usage:<input.pptx>. Output files are namedslide-1.png,slide-2.png, ... in a directory with the same name as the input file.create_montage.py: build a tiled montage from images in a directory (for viewing multiple image assets or rendered slides at once); quick usage:--input_dir <imgs_dir> --output_file <montage.png>. It supports most image formats with auto conversion under the hood.slides_test.py: detect content overflowing the original slide canvas; usage:<input.pptx>.
What ships with it
55 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.
- artifact_tool/auto-layout.spec.md 2.3 KB
- artifact_tool/charts.spec.md 1.9 KB
- artifact_tool/fill.spec.md 1.9 KB
- artifact_tool/images.spec.md 2.5 KB
- artifact_tool/inspect.spec.md 1.2 KB
- artifact_tool/README.md 2.7 KB
- artifact_tool/shapes.spec.md 2.3 KB
- artifact_tool/slide.spec.md 1.6 KB
- artifact_tool/speaker-notes.spec.md 831 B
- artifact_tool/styles.spec.md 2.0 KB
- artifact_tool/tables.spec.md 1.5 KB
- artifact_tool/theme.spec.md 1.4 KB
- container_tools/create_montage.py 10.0 KB runs code
- container_tools/detect_font.py 34 KB runs code
- container_tools/ensure_raster_image.py 6.2 KB runs code
- container_tools/render_slides.py 9.3 KB runs code
- container_tools/requirements.txt 374 B
- container_tools/slides_test.py 6.1 KB runs code
- diagram_renderers/build-demo.js 1.6 KB runs code
- diagram_renderers/examples/demo-deck.json 751 B
- diagram_renderers/examples/integrated-design.json 345 B
- diagram_renderers/examples/lean-value-tree.json 553 B
- diagram_renderers/examples/planning-onion.json 1.0 KB
- diagram_renderers/examples/process-flow.json 1.6 KB
- diagram_renderers/examples/project-plan.json 3.4 KB
- diagram_renderers/examples/risk-matrix.json 1010 B
- diagram_renderers/examples/testing-approach.json 9.7 KB
- diagram_renderers/index.js 542 B runs code
- diagram_renderers/package.json 25 B
- diagram_renderers/README.md 2.1 KB
- diagram_renderers/registry.js 793 B runs code
- diagram_renderers/renderers/integratedDesign.js 7.6 KB runs code
- diagram_renderers/renderers/leanValueTree.js 4.4 KB runs code
- diagram_renderers/renderers/planningOnion.js 1.0 KB runs code
- diagram_renderers/renderers/processFlow.js 2.3 KB runs code
- diagram_renderers/renderers/projectPlan.js 3.1 KB runs code
- diagram_renderers/renderers/riskMatrix.js 3.0 KB runs code
- diagram_renderers/renderers/testingApproach.js 2.4 KB runs code
- diagram_renderers/runtime/base.js 8.4 KB runs code
- diagram_renderers/runtime/slide-skill.js 161 B runs code
- diagram_renderers/theme.js 620 B runs code
- diagram_renderers/tools/export_selected_slides.py 1.3 KB runs code
- pptxgenjs_helpers/code.js 2.1 KB runs code
- pptxgenjs_helpers/diagram_renderers.js 329 B runs code
- pptxgenjs_helpers/image.js 8.8 KB runs code
- pptxgenjs_helpers/index.js 812 B runs code
- pptxgenjs_helpers/latex.js 1.8 KB runs code
- pptxgenjs_helpers/layout_builders.js 11 KB runs code
- pptxgenjs_helpers/layout.js 23 KB runs code
- pptxgenjs_helpers/package.json 25 B
- pptxgenjs_helpers/svg.js 891 B runs code
- pptxgenjs_helpers/text.js 5.6 KB runs code
- pptxgenjs_helpers/util.js 304 B runs code
- slide_templates/routa-template.pptx 228 KB
- template.dir.md 9.0 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.
- 1mo ago First seen · 140 lines · 16 tokens per session scan A 2e3003e809e0
slide is a skill published in the GitHub repository phodal/routa (1,831 stars, last pushed 6d ago), licensed MIT. It adds 16 tokens to every session and 2,184 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 2026-08-30.
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