openproxy-embeddings SKILL.md skillB

openproxy-embeddings from quangdang46/openproxy is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add quangdang46/openproxy/openproxy-embeddings@git:20260928.5199045

Pins git:20260928.5199045 in mdr.lock. Pin the fingerprint instead.

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
quangdang46/openproxy
Path
.agents/skills/openproxy-embeddings/SKILL.md
Versions recorded
1
Latest version
git:20260928.5199045, committed Sep 28, 2026
Size
19,898 bytes
Repository stars
28
License
MIT

Generate embedding vectors through OpenProxy's `POST /v1/embeddings` — the `input` / `dimensions` / `encoding_format` contract, the built-in embedding-provider adapters, the `custom-embedding` providerNode type for self-hosted and OpenAI-compatible embedding servers, and the checks that prove an embedding provider is actually wired. Use whenever the user asks to embed text, set up RAG / semantic search / vector search, add an embedding model, or debug an embeddings call that 400s, 401s, or…

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

# openproxy-embeddings — vectors through `/v1/embeddings`

[OpenProxy](https://github.com/quangdang46/openproxy) proxies embedding calls through one
OpenAI-shaped route, `POST http://127.0.0.1:4623/v1/embeddings`. The request is resolved to a
**provider** from the `model` field, checked against the embedding-adapter registry, and fanned
out with credential rotation on 401/403/429.

This skill covers:

1. The request contract (`model`, `input`, `dimensions`, `encoding_format`)
2. Which providers can serve embeddings, and their upstream URLs
3. Registering a `custom-embedding` provider node for a self-hosted / OpenAI-compatible server
4. Verifying an embedding provider is wired, end to end

Everything here is non-interactive and safe to run unattended.

## 0 · Preflight

Confirm the server is up and a key is available before touching anything:

```bash
curl -sS http://127.0.0.1:4623/health | jq '.status'
# → "ok"

export OPENPROXY_API_KEY="$(cat "$HOME/.openproxy/admin.key")"
# or mint a scoped one:
openproxy key add rag-embedder --auto
```

If the server is not running: `openproxy server start --detach --no-open`.

## 1 · The request contract

```bash
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add quangdang46/openproxy/openproxy-embeddings@sha256:c7b1e44b3949376d

The line at the top of this page pins the label git:20260928.5199045, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_tsr736gsdj66nhxx.svg)](https://markdownregistry.com/a/art_tsr736gsdj66nhxx)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 28, 2026.

versioncommittedcommitsizeaudit
git:20260928.5199045 latest2026-09-28 5199045 19,898 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No link to a raw IP address (matched: http://127.0.0.1:4623)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (19898 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 script tag

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

quangdang46/openproxy · 28 stars · license MIT · pushed 2026-10-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_tsr736gsdj66nhxx
GET https://markdownregistry.com/api/v1/resolve?ref=quangdang46/openproxy/openproxy-embeddings
GET https://markdownregistry.com/api/v1/blob/c7b1e44b3949376d58589ac21f57b5ec547a521644dd5fbc9e3536c619d223fb

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.

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