Borrowing it
Nothing to install: this file belongs to Zayne-sprague/Dr-Claude-Code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Zayne-sprague/Dr-Claude-Code/main/.claude/skills/dashboard-visualizer/SKILL.mdgit clone --depth 1 https://github.com/Zayne-sprague/Dr-Claude-CodeWrote 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/zayne-sprague/dr-claude-code/dashboard-visualizer)<a href="https://agentmods.dev/skills/zayne-sprague/dr-claude-code/dashboard-visualizer"><img src="https://agentmods.dev/badge/skills/zayne-sprague/dr-claude-code/dashboard-visualizer/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/zayne-sprague/dr-claude-code/dashboard-visualizer"><img src="https://agentmods.dev/badge/skills/zayne-sprague/dr-claude-code/dashboard-visualizer.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 | $0.00103 | $0.02225 |
| Opus 5.5 | $0.00041 | $0.00890 |
| Sonnet 5.5 | $0.00021 | $0.00445 |
| Haiku 4.5 | $0.00010 | $0.00222 |
Grade A, and why
dashboard-visualizer 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 2mo 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dashboard Visualizer Skill
Project Layout
tools/visualizer/
backend/
app.py # Flask app factory, registers blueprints
api/
experiments.py # /api/experiments/* — experiment metadata, activity logs
manifest.py # /api/manifest/* — HF dataset manifests
model_datasets.py # /api/model/datasets/* — loads HF datasets for model trace viewer
presets.py # /api/presets/* — saved dataset presets
frontend/
src/
App.tsx # Top-level router: routes to Experiments or Visualizer page
hashRouter.ts # Hash-based routing (#page=viz&tab=model)
experiments/ # Experiments page (README, activity log, artifact list)
ExperimentsApp.tsx
api.ts
components/
store.ts
types.ts
model/ # Model Trace Viewer tab
ModelApp.tsx
api.ts
components/
Sidebar.tsx # Dataset selector, preset management
TracePanel.tsx # Side-by-side trace comparison
QuestionNav.tsx # Navigate between questions/examples
InfoBar.tsx # Dataset metadata display
store.ts
types.ts
utils/
visualizer/
VisualizerApp.tsx # Tab bar + router for all visualizer tabs
scripts/
import_experiments.py # Reads notes/experiments/, uploads to HF dashboard dataset
Pages and Tabs
The app has two top-level pages:
1. Experiments Page (#page=experiments)
Shows all experiments in the workspace:
- README content for each experiment
- Activity log (JSONL timeline of steps, go/no-go decisions, notes)
- Artifact list (links to HF datasets)
- Status badges (running, complete, failed, etc.)
Data source: The RESEARCH_DASHBOARD HF dataset, populated by import_experiments.py.
2. Visualizer Page (#page=viz)
A tabbed interface for interactively exploring model output data. Currently has one tab:
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.
- 2mo ago First seen · 253 lines · 103 tokens per session scan A 8b48241abd68
dashboard-visualizer is a skill published in the GitHub repository Zayne-sprague/Dr-Claude-Code (5 stars, last pushed 7mo ago), licensed MIT. It adds 103 tokens to every session and 2,225 once invoked, about $0.0004 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 2026-08-31.
dashboard-visualizer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dashboard-visualizerZayne-sprague/Dr-Claude-Code | Skill | 5 | 7mo ago | MIT | A | 103 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |