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 aeren23/image-processing-skills --skill 07-mediapipe-trackinggit clone --depth 1 https://github.com/aeren23/image-processing-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/aeren23/image-processing-skills/07-mediapipe-tracking)<a href="https://agentmods.dev/skills/aeren23/image-processing-skills/07-mediapipe-tracking"><img src="https://agentmods.dev/badge/skills/aeren23/image-processing-skills/07-mediapipe-tracking/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/aeren23/image-processing-skills/07-mediapipe-tracking"><img src="https://agentmods.dev/badge/skills/aeren23/image-processing-skills/07-mediapipe-tracking.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 | $0.00031 | $0.01424 |
| Opus 5 | $0.00015 | $0.00712 |
| Sonnet 5 | $0.00006 | $0.00285 |
| Haiku 4.5 | $0.00003 | $0.00142 |
Grade A, and why
mediapipe-tracking 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 9d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MediaPipe Tracking
When to Use This Skill
- Tracking human body pose in real-time video
- Detecting and tracking hand gestures or finger positions
- Building face filters, expression analysis, or gaze tracking
- Needing 3D depth information (Z-axis) for body landmarks
- Creating fitness apps, sign language recognition, or virtual avatars
Decision Framework
Which MediaPipe Solution?
What body part do you need to track?
├── Full body pose (standing, sitting, exercising)
│ └── ✅ Pose Estimation — 33 landmarks, 3D (x, y, z)
│
├── Hands and fingers
│ └── ✅ Hand Tracking — 21 landmarks per hand
│
├── Face details (lips, eyes, eyebrows, jawline)
│ └── ✅ Face Mesh — 468 landmarks, 3D
│
└── Multiple tasks simultaneously
└── ✅ Holistic — combines Pose + Hands + Face
MediaPipe vs YOLO Pose Estimation
| Feature | MediaPipe Pose | YOLO Pose |
|---|---|---|
| Landmarks | 33 (full body + face) | 17 (body only) |
| Depth (Z-axis) | ✅ Yes (camera-relative) | ❌ No (2D only) |
| Speed | ⚡ Very fast (optimized for mobile) | ⚡ Fast |
| Multi-person | ❌ Single person per frame | ✅ Multiple people |
| 3D Avatar | ✅ Possible (Z depth) | ❌ Not possible |
| Hand details | ✅ 21 points per hand (separate solution) | ❌ Not available |
| Face details | ✅ 468 points (separate solution) | ❌ Not available |
| Best for | Single-user apps, gesture control, fitness | Multi-person detection, surveillance |
Rule of thumb: Need detailed single-person anatomy (hands, face, depth)? → MediaPipe. Need to detect multiple people quickly? → YOLO Pose.
Landmark Counts Reference
| Solution | Points | Notable Landmarks |
|---|---|---|
| Pose | 33 | Nose, shoulders, elbows, wrists, hips, knees, ankles, eyes, ears |
| Hand | 21 | Wrist, thumb (4 joints), index (4), middle (4), ring (4), pinky (4) |
| Face Mesh | 468 | Lips contour, eye contour, eyebrows, nose bridge, jawline, iris |
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.
- 9d ago First seen · 177 lines · 31 tokens per session scan A eed57d132e9e
mediapipe-tracking is a skill published in the GitHub repository aeren23/image-processing-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 1,424 once invoked, about $0.0002 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 2026-08-31.
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