Home / miaodx / roboclaws · skills/raw-fpv-visual-labeler/SKILL.md · GitHub

raw-fpv-visual-labeler skillA

raw-fpv-visual-labeler is agent-read markdown (skill) from miaodx/roboclaws: Label visible cleanup-relevant movable objects from grouped RAW-FPV frames without creating executable cleanup handles..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# RAW-FPV Visual Labeler

Use this skill only for perception-only RAW-FPV labeling probes. It consumes
public robot FPV frame evidence and emits structured visual labels for review
and offline scoring. It does not call cleanup tools, does not create
`observed_*` handles, and does not authorize navigation, pick, place, or `done`.

## Inputs

Use 3-6 neighboring RAW-FPV frames from the same waypoint, sweep segment, or
source observation neighborhood when available. Each frame may include only:

- public frame id;
- image artifact;
- public waypoint or room context already visible to the cleanup agent;
- optional public runtime-map planning hints marked non-executable.

Never include private labels, generated hidden target ids, acceptable
destination truth, executable observed-object handles, detector candidates, or
camera-label producer candidates.

## Output

Return strict JSON:

```json
{
  "schema": "raw_fpv_visual_labeler_response_v1",
  "labels": [
    {
      "evidence_frame_id": "run/raw_fpv_001",
      "category": "mug",
      "category_family": "dish",
      "coarse_region": "middle_right",
      "confidence": 0.82,
      "is_cleanup_relevant": true,
…

Read the whole file at its exact version.

How to install

Latest version
mdr add miaodx/roboclaws/raw-fpv-visual-labeler@git:20260622.3dd53c6
Exact content
mdr add miaodx/roboclaws/raw-fpv-visual-labeler@sha256:d84da871bfc0a914

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

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Versions

versioncommittedcommitsizeaudit
git:20260622.3dd53c6 latest2026-06-22 3dd53c6 2,199 BA view · diff
git:20260608.51bbfb62026-06-08 51bbfb6 2,200 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2199 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

miaodx/roboclaws · 6 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_64f55br4wdgafy2v
GET https://markdownregistry.com/api/v1/resolve?ref=miaodx/roboclaws/raw-fpv-visual-labeler
GET https://markdownregistry.com/api/v1/blob/d84da871bfc0a9144e3ede1e37e6d6591500ff49e80b3c9799b9fe43ff2a0766

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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