huawei-cloud-openviking-agent-integration SKILL.md skillB

huawei-cloud-openviking-agent-integration from huaweicloud/huaweicloud-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-openviking-agent-integration@v1.2.2

Pins v1.2.2 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-agent-integration/SKILL.md
Versions recorded
4
Latest version
v1.2.2, committed Oct 9, 2026
First version recorded
Aug 17, 2026
Size
6,602 bytes
Repository stars
59
License
MIT

Integrate and unbind OpenViking long-term memory with coding agents. Supports 8 agents (CodeArts CLI, OpenCode, OpenClaw, Hermes, WorkSwarm, KimiCode, DeepSeek Harness, Prime Agent) via their native mechanism — MCP, HTTP memory provider, TypeScript extension hooks, or settings.json config. Both integration and unbinding require explicit user authorization. Use this skill when the user wants to: (1) integrate OpenViking memory into a coding agent, (2) unbind OpenViking from a coding agent, (3)…

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

# Huawei Cloud Agent Integration (OpenViking Long-Term Memory)

Integrate / unbind OpenViking long-term memory for coding agents running in bwrap sandboxes (`/root/job-envs/sandboxes/`). Every agent uses its **native mechanism** (MCP, HTTP memory provider, TS extension hooks, settings.json), so integration survives agent upgrades. Writes are **template-level persistent**: config is injected into `/root/template/<agent>/start.sh`, so sandbox `stop + start` preserves the integration.

## Supported Agents

| Agent | Mechanism |
|-------|-----------|
| CodeArts CLI | `@openviking/opencode-plugin` → `.codeartsdoer/` |
| OpenCode | `@openviking/opencode-plugin` (npm mirror → GitHub fallback) |
| OpenClaw | `clawhub:@openviking/openclaw-plugin` + `contextEngine` slot (disables `session-memory` hook, denies `memory_search`) |
| Hermes | Built-in `memory.provider: openviking` (HTTP REST, no MCP) |
| WorkSwarm | Dual-channel: native provider + MCP (15 tools) + code-mode patch |
| KimiCode | hooks + MCP (session lifecycle) — `config.toml [[hooks]]` → `ov-kimi-hook.sh` + MCP via `mcp.json` |
| DeepSeek Harness | `@openviking/dsh-memory-plugin` bundle (on-demand from GitHub) |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-openviking-agent-integration@sha256:eb033efd02b77c19

The line at the top of this page pins the label v1.2.2, 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_t4xxjndyutpn6cit.svg)](https://markdownregistry.com/a/art_t4xxjndyutpn6cit)

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

Versions

The registry has recorded 4 versions of this file, between Aug 17, 2026 and Oct 9, 2026, about one every 18 days.

versioncommittedcommitsizeaudit
v1.2.2 latest2026-10-09 8175bf5 6,602 BB view · diff
v1.2.12026-09-11 46f8bdf 7,027 BB view · diff
v1.2.02026-08-24 da2fb10 18,652 BB view · diff
v1.0.02026-08-17 dd9416e 11,608 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://127.0.0.1:1933)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6602 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

huaweicloud/huaweicloud-skills · 59 stars · license MIT · pushed 2026-11-07 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_t4xxjndyutpn6cit
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-openviking-agent-integration
GET https://markdownregistry.com/api/v1/blob/eb033efd02b77c19364648c212413878e80ec950d884c9ba34014dc1cdb3f011

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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