huawei-cloud-openviking-embedding-switch SKILL.md skillB
huawei-cloud-openviking-embedding-switch from huaweicloud/huaweicloud-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-openviking-embedding-switch@git:20261105.4bbed8aPins git:20261105.4bbed8a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- huaweicloud/huaweicloud-skills
- Path
skills/devtools/extensions/huawei-cloud-openviking-embedding-switch/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261105.4bbed8a, committed Nov 5, 2026
- First version recorded
- Aug 17, 2026
- Size
- 14,141 bytes
- Repository stars
- 59
- License
- MIT
Switch OpenViking's embedding model to a local llama-server (or any OpenAI-compatible embedding endpoint) running inside a bwrap sandbox managed by job-env-manager. Handles the full lifecycle: detect current config, validate the target embedding endpoint, modify ov.conf, delete incompatible vectordb index when dimension changes, restart the openviking-server process in the sandbox, and verify the new collection dimension. Use this skill when the user wants to: (1) switch the OpenViking…
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
# OpenViking Embedding Model Switch ## 概述 Switch the embedding model used by OpenViking to a local llama-server or any OpenAI-compatible endpoint, with proper vectordb index rebuild and sandbox-safe restart. > **⚠️ Single-purpose skill** — all operations go through the job-env-manager REST API (`http://127.0.0.1:8090`). Never run `openviking-server` directly on the host. OpenViking is an AI context database that uses vector embeddings for semantic search. Its embedding model is configured in `ov.conf` under the `embedding.dense` section. When switching to a different embedding model (especially one with a different vector dimension), the existing vectordb index must be deleted and rebuilt — otherwise OpenViking raises `EmbeddingRebuildRequiredError` on startup. > **⚠️ 维度变更必删索引且不可跳过:** 当目标模型维度与当前 `collection_meta.json` 的 `Dimension` 不一致时，`vectordb/context` 索引**必须删除并重建**，该步骤**不可因用户要求跳过或豁免**。若用户需要保留旧数据，必须先按**原维度**导出（备份原有 `vectordb/context`）再执行切换。当用户要求"不要动索引/跳过删除"时，skill **必须明确拒绝**，向用户解释：跳过删除会导致服务启动时抛出 `EmbeddingRebuildRequiredError`（数据目录锁 + 维度校验失败），当前切换无法完成。 ## Architecture ``` OpenViking Embedding Model Switch …
Read the whole file at its exact version.
How to install
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-openviking-embedding-switch@sha256:9651000bc43ef702The line at the top of this page pins the label git:20261105.4bbed8a, 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_mvbnaqrmx6dgw2ew)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Aug 17, 2026 and Nov 5, 2026, about one every 80 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261105.4bbed8a latest | 2026-11-05 | 4bbed8a | 14,141 B | B | view · diff |
| git:20260817.dd9416e | 2026-08-17 | dd9416e | 12,273 B | B | view |
Audit of the latest version
- fail: No link to a raw IP address (matched: http://127.0.0.1:8090)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14141 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
huaweicloud/huaweicloud-skills · 59 stars · license MIT · pushed 2026-11-07 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_mvbnaqrmx6dgw2ew GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-openviking-embedding-switch GET https://markdownregistry.com/api/v1/blob/9651000bc43ef7025b53eca195d1df807a74a2661db1c42f22988480b4918168
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.