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 pproenca/dot-skills --skill code-map-visualizationgit clone --depth 1 https://github.com/pproenca/dot-skillsWrote 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/pproenca/dot-skills/code-map-visualization)<a href="https://agentmods.dev/skills/pproenca/dot-skills/code-map-visualization"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/code-map-visualization/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/pproenca/dot-skills/code-map-visualization"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/code-map-visualization.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 | $0.00217 | $0.03203 |
| Opus 5 | $0.00109 | $0.01602 |
| Sonnet 5 | $0.00043 | $0.00641 |
| Haiku 4.5 | $0.00022 | $0.00320 |
Grade A, and why
code-map-visualization 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 5d 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.
Code Map Visualization Best Practices
How to render and visually navigate a codebase that has been projected and geohashed into a 2D map — making it honest, fast, legible, interactive, animated, and accessible. This is the rendering and perception craft on top of the spatial structure: it draws on decades of information-visualisation, cartography, computer-graphics, and nature-/biology-inspired layout knowledge so a code map reads correctly and runs at interactive rates. Contains 47 rules across 9 categories, prioritised by impact.
When to Apply
Reference these guidelines when:
- Deciding what code attribute to put on which visual channel (position, size, colour) and which colour scale tells the truth
- Drawing tens of thousands to millions of cells on the web with Canvas2D, WebGL, or deck.gl, and keeping the render loop inside the frame budget
- Placing and decluttering region/file labels, and rendering legible text over a busy map
- Wiring up interaction — hover, picking, selection, a camera/view-state model, deep links, keyboard control
- Animating camera moves, level-of-detail transitions, and data updates without disorienting the viewer
- Making the canvas accessible to color-vision-deficient, motion-sensitive, keyboard-only, and screen-reader users
A note on scope
This skill is the rendering and perception layer. The companion skill geohash-spatial-code-maps owns the spatial math — geohash encoding, the code→plane projection, bbox/covering-set queries, tiling, and the precision↔zoom navigation model. Rules here cross-link into that skill (e.g. map-deterministic-projection, nav-level-of-detail-aggregation) rather than re-deriving it. Examples target TypeScript with Canvas2D + WebGL/deck.gl and d3-scale/d3-color; the perceptual reasoning generalises to any rendering stack.
Rule Categories by Priority
What ships with it
51 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.
- AGENTS.md 13 KB
- assets/templates/_template.md 1.1 KB
- metadata.json 2.6 KB
- references/_sections.md 4.3 KB
- references/access-encode-redundantly-never-color-alone.md 1.5 KB
- references/access-honor-prefers-reduced-motion.md 1.6 KB
- references/access-make-the-map-keyboard-operable.md 1.6 KB
- references/access-provide-a-text-alternative-for-the-canvas.md 1.6 KB
- references/anim-crossfade-between-lod-levels.md 1.6 KB
- references/anim-ease-camera-transitions-not-jumps.md 1.7 KB
- references/anim-keep-transitions-interruptible-and-budgeted.md 1.8 KB
- references/anim-preserve-object-constancy-on-data-update.md 1.7 KB
- references/bio-circle-packing-for-nested-counts.md 1.7 KB
- references/bio-edge-bundling-for-dependency-overlays.md 1.7 KB
- references/bio-flow-fields-for-animated-dependency-load.md 1.7 KB
- references/bio-metaball-hulls-for-region-membranes.md 1.8 KB
- references/bio-phyllotaxis-packing-for-even-point-spread.md 1.8 KB
- references/bio-relax-weights-for-even-cell-areas.md 1.8 KB
- references/bio-voronoi-regions-for-space-filling-tessellation.md 1.8 KB
- references/color-control-contrast-against-basemap.md 1.6 KB
- references/color-design-for-color-vision-deficiency.md 1.7 KB
- references/color-limit-categorical-hues.md 1.7 KB
- references/color-match-scale-type-to-data.md 1.5 KB
- references/color-perceptually-uniform-sequential-ramp.md 1.8 KB
- references/encode-let-projection-own-position.md 1.9 KB
- references/encode-maximize-data-ink-drop-chartjunk.md 1.6 KB
- references/encode-rank-channels-by-perceptual-accuracy.md 2.1 KB
- references/encode-redundant-encoding-for-key-signals.md 1.7 KB
- references/encode-separate-categorical-from-quantitative.md 1.8 KB
- references/encode-size-by-area-not-radius.md 1.4 KB
- references/gpu-atlas-tiles-and-glyphs.md 1.4 KB
- references/gpu-batch-to-cut-draw-calls-and-state-changes.md 1.7 KB
- references/gpu-instance-cells-not-per-quad-draw.md 1.6 KB
- references/gpu-layer-canvas2d-over-webgl.md 1.7 KB
- references/gpu-pack-attributes-into-typed-arrays.md 1.7 KB
- references/gpu-size-canvas-to-devicepixelratio.md 1.6 KB
- references/interact-keep-hover-feedback-under-one-frame.md 1.5 KB
- references/interact-model-the-camera-not-the-dom.md 1.6 KB
- references/interact-pick-with-gpu-color-id-or-spatial-index.md 1.6 KB
- references/interact-support-keyboard-pan-zoom-and-focus.md 1.7 KB
- references/interact-sync-view-state-to-the-url.md 1.5 KB
- references/perf-bound-the-tile-cache.md 1.5 KB
- references/perf-debounce-viewport-recompute.md 1.6 KB
- references/perf-offload-to-worker-and-offscreencanvas.md 1.6 KB
- references/perf-redraw-only-dirty-regions.md 1.5 KB
- references/perf-render-in-a-single-raf-loop.md 1.6 KB
- references/text-add-halo-for-legibility.md 1.5 KB
- references/text-anchor-region-labels-at-centroid.md 1.4 KB
- references/text-place-and-declutter-labels-greedily.md 1.7 KB
- references/text-render-glyphs-on-canvas2d-not-per-glyph-textures.md 1.5 KB
- references/text-show-labels-by-level-of-detail.md 1.5 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.
- 5d ago First seen · 140 lines · 217 tokens per session scan A 0a0ce02b2d65
code-map-visualization is a skill published in the GitHub repository pproenca/dot-skills (205 stars, last pushed 24d ago), licensed MIT. It adds 217 tokens to every session and 3,203 once invoked, about $0.0011 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 2026-09-03.
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