OpenSearch-VL: OpenSearch-VL provides a fully open recipe for training strong multimodal deep search agents through

Last updated: 2026-10-20 · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

deep-research-agentmultimodalopensourcesearch-agentthink-with-imagevlm-agent

Quick Facts

Stars	294
Forks	29
Language	Python
Category	Agent Tool
License	Apache-2.0
Quality Score	66/100
Open Issues	6
Last Updated	2026-10-20
Created	2026-05-03
Platforms	python
Est. Tokens	~20k

About OpenSearch-VL

An Open Recipe for Frontier Multimodal Search Agents Cold-Start Agentic SFT  ·  Multi-Turn Fatal-Aware GRPO  ·  Visual Tool Use ![](https://img.shields.io/github/last-commit/shawn0728/OpenSearch-

Compatible Skills

These tools work well together with OpenSearch-VL for enhanced workflows:

hyperresearch — semantic(0.32)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
deep-research-mcp — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
designing-real-world-ai-agents-workshop — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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