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 rm2thaddeus/Pixel_Detective --skill start-pixel-detectivegit clone --depth 1 https://github.com/rm2thaddeus/Pixel_DetectiveWrote 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/rm2thaddeus/pixel_detective/start-pixel-detective)<a href="https://agentmods.dev/skills/rm2thaddeus/pixel_detective/start-pixel-detective"><img src="https://agentmods.dev/badge/skills/rm2thaddeus/pixel_detective/start-pixel-detective/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/rm2thaddeus/pixel_detective/start-pixel-detective"><img src="https://agentmods.dev/badge/skills/rm2thaddeus/pixel_detective/start-pixel-detective.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 | $0.00069 | $0.00832 |
| Opus 5 | $0.00034 | $0.00416 |
| Sonnet 5 | $0.00014 | $0.00166 |
| Haiku 4.5 | $0.00007 | $0.00083 |
Grade A, and why
start-pixel-detective 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 8d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Start Pixel Detective
Use this skill to run Pixel Detective locally with the right subset of services.
Quickstart
- Full stack:
powershell -ExecutionPolicy Bypass -File skills\\start-pixel-detective\\scripts\\start_pixel_detective.ps1 -Mode full - Backend only (+ optional GPU UMAP):
powershell -ExecutionPolicy Bypass -File skills\\start-pixel-detective\\scripts\\start_pixel_detective.ps1 -Mode backend -UseGpuUmap
Workflow
- Confirm repo root
- Require
frontend/package.jsonandstart_pixel_detective.ps1. - If missing, stop and ask for the correct working directory.
- Decide the requested mode
- full: all services plus frontend
- backend: Qdrant + ML + ingestion (optional UMAP)
- services: just Docker services (Qdrant and optional GPU UMAP)
- frontend: only Next.js dev server
- status: report what is running
- stop: stop Docker services and list any remaining processes
- Docker preflight
- Check Docker CLI and Docker Compose:
docker versiondocker compose version
- If Docker is installed but not running, say so and stop.
- Start sequence
- full: run
.\start_pixel_detective.ps1 - backend:
docker compose up -d qdrant_db- optional GPU UMAP:
docker compose -f backend/gpu_umap_service/docker-compose.dev.yml up -d --build - start ML service:
uvicorn backend.ml_inference_fastapi_app.main:app --port 8001 --reload - start ingestion:
uvicorn backend.ingestion_orchestration_fastapi_app.main:app --port 8002 --reload
- services:
docker compose up -d qdrant_db- optional GPU UMAP (same command as above)
- frontend:
cd frontendthennpm run dev
When launching uvicorn or npm, use new terminal windows so the main session stays responsive.
- Status checks
docker compose ps- The script prints a port readiness summary (6333/8001/8002/8003/3000).
- Report URLs:
What ships with it
1 file 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.
- 8d ago First seen · 75 lines · 69 tokens per session scan A 979581081246
start-pixel-detective is a skill published in the GitHub repository rm2thaddeus/Pixel_Detective (21 stars, last pushed 7mo ago), licensed MIT. It adds 69 tokens to every session and 832 once invoked, about $0.0003 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 2026-08-30.
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