OpenViking

STRONG · 89
Community indexed

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

Downloads0
Stars25.8K
Version1.0.0
Quality100/100 · Excellent
Trust89/100 · Review then install
Audit94/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add volcengine/OpenViking

Maintenance

fresh

17d since push

Risk

Safe to try

No major risk signals from available metadata

GitHub quality

26K

100/100 quality · 92/100 trust

Coverage tags

CodingGitHub automationagent-frameworksagentsai-agents

Review notes

No major risk signals from available metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
89

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
94

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Agent install candidate

Use as the primary candidate after human or sandbox review.

PythonAI AgentsCodexClaude CodeCursor

Stars

26K GitHub stars

Repo activity

26K stars, 2.0K forks

Maintenance

17d since push

License

AGPL-3.0

Install

npx skills add volcengine/OpenViking

Install safety

standard package or runtime install path

Permission surface

filesystem or document access, database access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

  • No major trust warnings detected from available metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect repository metadata

Suited agents

PythonAI AgentsCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add volcengine/OpenViking
Policy
allow
Human review
no

Trust and risk

Trust
89/100
Audit
94/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add volcengine/OpenViking

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • No major trust warnings detected from available metadata
  • Production credentials, payments, or irreversible account changes without explicit human review

Agent safety v2

82/100 · Safe to install with normal review

Verifiedallow

Strong metadata, audit, install, and review signals. Suitable for agent shortlists after normal workspace review.

Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add volcengine/OpenViking

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use OpenViking in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20OpenViking%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/volcengine-openviking/install
Install command: npx skills add volcengine/OpenViking
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use OpenViking for this task. Review https://www.openagentskill.com/api/skills/volcengine-openviking/install, then install with: npx skills add volcengine/OpenViking

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

100/100

GitHub automation

Platforms

Python, AI Agents, Claude Code

Audit report

Safe to try · 94/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Primary pick for GitHub automation

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

GitHub automation

Trust label

Production-ready

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 25,830 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 100/100 quality profile
  • 28 OpenAgentSkill engagement events

Review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

89
Trust score

GitHub adoption

PASS

26K GitHub stars

Stars/forks activity

PASS

26K stars, 2.0K forks; issue activity unavailable in current metadata

Recent maintenance

PASS

17d since push

License clarity

PASS

AGPL-3.0

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Large GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • OpenAgentSkill usage activity detected
  • Outcome loop is ready but needs first real agent run

Review before install

  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
26K
Freshness
17d ago
Install ready
Yes
License
AGPL-3.0

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
ai-agentsFULL

Technical Details

Version
1.0.0
License
AGPL-3.0
Last Updated
6/20/2026
Published
5/23/2026

Frameworks & Tools

PythonAI Agents

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

25,830 GitHub stars

Audit snapshot

Install review

Install and adoption review

94
Safe to try
Security
86/100
Maintenance
100/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Growth loop

Share kit

X

Scenario-led draft for OpenViking, ready for a manual X post.

Curator note
The useful research skills are not search wrappers. They help agents keep sources attached.

OpenViking helps agents turn docs, data, or knowledge bases into grounded work.

25.8K stars

https://www.openagentskill.com/skills/volcengine-openviking?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for OpenViking:
https://www.openagentskill.com/skills/volcengine-openviking?ref=x

Install: npx skills add volcengine/OpenViking

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
volcengine
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to volcengine but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/volcengine-openviking)](https://www.openagentskill.com/skills/volcengine-openviking)

Author

V

volcengine

@volcengine

Platform Fit

Health Signals

GitHub stars
25.8K
Quality score
74/100
Last GitHub push
Jun 19, 2026
Framework hints
2
OpenAgentSkill views
11
Install copies
2
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Review then install

89
  • GitHub adoption26K GitHub starsPASS
  • Stars/forks activity26K stars, 2.0K forks; issue activity unavailable in current metadataPASS
  • Recent maintenance17d since pushPASS
  • License clarityAGPL-3.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskdatabase surfacePASS