facial-recognition-explorer SKILL.md skillA
facial-recognition-explorer from stijnman/grok-custom-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add stijnman/grok-custom-skills/facial-recognition-explorer@v1.1Pins v1.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- stijnman/grok-custom-skills
- Path
.grok/skills/facial-recognition-explorer/SKILL.md- Versions recorded
- 1
- Latest version
- v1.1, committed Sep 10, 2026
- Size
- 4,266 bytes
- Repository stars
- 14
- License
- MIT
Explains modern face recognition, NIST-class closeness, embeddings, ArcFace/AdaFace/TransFace, and qualitative lookalike comparison. Triggered by facial recognition, face embeddings, ArcFace, AdaFace, NIST FRTE, how close is FR, lookalike match, or improve this face skill.
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
# Facial Recognition Explorer Default to the 2025–2026 embedding stack. Do not open with Eigenfaces unless the user asks for history. ## Current stack 1. Detect — RetinaFace, SCRFD, YuNet, BlazeFace. Transformer detectors (SFE-DETR class) for tiny faces. 2. Align — 5-point landmarks, affine warp to 112x112. 3. Embed — L2-normalized 512-D vector (IR-SE, ResNet, MobileFace, ViT / TransFace). 4. Score — cosine on unit vectors. Thresholds are model-specific. Never reuse a FaceNet 0.40 cutoff on ArcFace. Loss lineage - FaceNet triplet loss — useful intuition, painful mining, legacy. - CosFace — additive cosine margin. - ArcFace — additive angular margin. Still the default open checkpoint. - AdaFace — quality-adaptive margin. Prefer this for blurry or surveillance frames. - MagFace / ElasticFace / TransFace — quality-aware or ViT variants. LFW is saturated; rank on IJB and NIST FRTE. See `references/sota-2026.md` for dated numbers. ## How close it is (say this first) Solved regime …
Read the whole file at its exact version.
How to install
mdr add stijnman/grok-custom-skills/facial-recognition-explorer@sha256:1a0722b5d276cb1fThe line at the top of this page pins the label v1.1, 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_fuuehfg4lrauxcbs)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 10, 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 (4266 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
stijnman/grok-custom-skills · 14 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fuuehfg4lrauxcbs GET https://markdownregistry.com/api/v1/resolve?ref=stijnman/grok-custom-skills/facial-recognition-explorer GET https://markdownregistry.com/api/v1/blob/1a0722b5d276cb1fd4e1767a1123af43607c5d225c943373236e1b36d6d56443
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.