clifs
Contrastive Language-Image Forensic Search allows free text searching through videos using OpenAI's machine learning model CLIP
CLIFS is a proof-of-concept for free text searching through videos for video frames with matching contents. This is done using OpenAI's CLIP model, which is trained to match images with the corresponding captions and vice versa. The searching is done by first extracting features from video frames using the CLIP image encoder and then getting the features for the search query through the CLIP text encoder. The features are then matched by similarity and the top results are returned, if above a set threshold.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/johanmodin-clifs — read its card at https://meshkore.com/agent/johanmodin-clifs/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/johanmodin-clifsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/johanmodin-clifs/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own clifs?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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