sam3-segmentation SKILL.md skillA
sam3-segmentation from lillyguisnet/sam3-segmentation is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add lillyguisnet/sam3-segmentation/sam3-segmentation@v0.1.0Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- lillyguisnet/sam3-segmentation
- Path
skills/sam3-segmentation/SKILL.md- Versions recorded
- 1
- Latest version
- v0.1.0, committed Oct 24, 2026
- Size
- 17,417 bytes
- Repository stars
- 127
- License
- MIT
Outline, mask, cut out or count objects in images with Meta's SAM 3 (Segment Anything Model 3), run locally on an NVIDIA GPU. Use when the user wants pixel masks or outlines of things in a photo, even without saying "segmentation" or "SAM": every instance of a phrase ("all the dogs"), one object from a click or box, automatic "segment everything", or careful, auditable annotation of many small objects or parts, such as corn kernels, seeds, cells, insects or leaves, with COCO RLE / PNG masks…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# SAM 3 segmentation ## Choose a mode **Direct SAM calls** (`scripts/sam.py`): the model and nothing else. Use them for a quick outline, a few objects, a "segment everything" pass, exploring a photo before a full run, or your own procedure. Read [direct SAM calls](references/direct-sam.md). `S` is the absolute path of this skill folder. Every command runs through `sh "$S/scripts/run" base|model ...`, which keeps the Python environments outside the skill folder (see setup). Direct calls need an NVIDIA GPU too (no CPU or Mac support). The model must be installed first, with the user's approval: see "Install the actual model only after approval" below (the same rules apply). ```sh sh "$S/scripts/run" model sam.py find photo.jpg --text "dog" --out out/ # every instance of words sh "$S/scripts/run" model sam.py find photo.jpg --like 120,80,40,35 --out out/ # more like this example box sh "$S/scripts/run" model sam.py click photo.jpg --point 300,220 --negative 330,240 --out out/ # one object sh "$S/scripts/run" model sam.py click photo.jpg --box 250,180,120,90 --out out/ # one object from a box …
Read the whole file at its exact version.
How to install
mdr add lillyguisnet/sam3-segmentation/sam3-segmentation@sha256:5014fadf77e2debdThe line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_5jiuyez4wk336mgr)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 24, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17417 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
lillyguisnet/sam3-segmentation · 127 stars · license MIT · pushed 2026-10-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5jiuyez4wk336mgr GET https://markdownregistry.com/api/v1/resolve?ref=lillyguisnet/sam3-segmentation/sam3-segmentation GET https://markdownregistry.com/api/v1/blob/5014fadf77e2debd4e559963238ede3009c920f4467399afd00aa72cf90ce40a
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.