Obsidian Llm Hub
Obsidian plugin for AI chat, workflow automation, and semantic search — supports Gemini, OpenAI, OpenRouter, Grok, Ollama, and CLI backends
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + OpenAI Agents + Cursor
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add takeshy/obsidian-llm-hub
Maintenance
fresh
9d since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
18
67/100 Quality · 74/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
18 GitHub stars
Repo activity
18 stars, 4 forks
Maintenance
9d since push
License
MIT
Install
npx skills add takeshy/obsidian-llm-hub
Install safety
standard package or runtime install path
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 18 GitHub stars
- Stars/forks activity: 18 stars, 4 forks; issue activity unavailable in current 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.
Suited tasks
- RAG and knowledge workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Chunk documents
Suited agents
Install decision
- Command
- npx skills add takeshy/obsidian-llm-hub
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 66/100
- Audit
- 79/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add takeshy/obsidian-llm-hubDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- High-risk permission hints: Shell or command execution
- Quality score needs review
Agent safety v2
55/100 · Review before install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
- High-risk permission hints: Shell or command execution
- Low GitHub adoption signal
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add takeshy/obsidian-llm-hubAgent 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 JSON
/api/agent/resolve?task=Use%20Obsidian%20Llm%20Hub%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Obsidian%20Llm%20Hub%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/takeshy-obsidian-llm-hub/install
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 Obsidian Llm Hub in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Obsidian%20Llm%20Hub%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/takeshy-obsidian-llm-hub/install
Install command: npx skills add takeshy/obsidian-llm-hub
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.
Install handoff
/api/skills/takeshy-obsidian-llm-hub/install
LLM text format
/api/skills/takeshy-obsidian-llm-hub/install?format=text
Find alternatives
/api/skills/search?q=Obsidian%20Llm%20Hub&limit=3
Agent prompt
Use Obsidian Llm Hub for this task. Review https://www.openagentskill.com/api/skills/takeshy-obsidian-llm-hub/install, then install with: npx skills add takeshy/obsidian-llm-hubRegistry 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.
Manifest
/api/registry/manifest/takeshy-obsidian-llm-hub
LLM text
/api/registry/manifest/takeshy-obsidian-llm-hub?format=text
Install alias
/api/registry/install/takeshy-obsidian-llm-hub
Recommend
/api/registry/recommend?task=Use%20Obsidian%20Llm%20Hub%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Platforms
TypeScript, Claude Code, OpenAI Agents, Cursor
Audit report
Needs review · 79/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for RAG and knowledge
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
RAG and knowledge
Trust label
Prototype first
Install path
Command ready
Use when
- RAG and knowledge workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 67/100 quality profile
- 12 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
Implementation path
- 1Install it in a sandbox agent and run one RAG and knowledge task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX18 GitHub stars
Stars/forks activity
FIX18 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS9d since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 18 GitHub stars
- Stars/forks activity: 18 stars, 4 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Add it to a complete workflow
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Claude Scientific Skills
A comprehensive collection of ready-to-use scientific and research skills for AI agents.
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Overview
# LLM Hub for Obsidian
[](https://deepwiki.com/takeshy/obsidian-llm-hub)
**Free and open-source** AI assistant for Obsidian with **Chat**, **Workflow Automation**, and **Semantic Search (RAG)**. Supports multiple LLM providers — use whichever AI fits your needs.
> **Use any LLM provider:** [Gemini](https://ai.google.dev), [OpenAI](https://platform.openai.com), [Anthropic](https://console.anthropic.com), [OpenRouter](https://openrouter.ai), [Grok](https://console.x.ai), [OpenCode Zen / Go](https://opencode.ai), local LLMs ([Ollama](https://ollama.com), [LM Studio](https://lmstudio.ai), [vLLM](https://docs.vllm.ai), [OpenCode](https://opencode.ai)), or CLI tools ([Antigravity CLI](https://antigravity.google), [Claude Code](https://github.com/anthropics/claude-code), [Codex CLI](https://github.com/openai/codex)).
## Highlights
- **Multi-Provider LLM Chat** - Use Gemini, OpenAI, Anthropic, OpenRouter, Grok, OpenCode Zen/Go, local LLMs, or CLI backends - **Vault Operations** - AI reads, writes, searches, and edits your notes with function calling (Gemini, OpenAI, Anthropic, OpenCode Zen/Go, and tools-capable local LLMs via LM Studio / vLLM / AnythingLLM) - **Workflow Builder** - Automate multi-step tasks with visual node editor and 25 node types - **Dashboard Hub Integration** - Supply AI models, Chat, Base generation, and Workflow execution to the separate [Dashboard Hub](https://github.com/takeshy/obsidian-dashboard-hu
Platform compatibility
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Jul 24, 2026
- Published
- Jul 24, 2026
Frameworks & tools
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 83/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- 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 report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for Obsidian Llm Hub, ready for a manual X post.
A practical pick for source-backed research: Obsidian Llm Hub: Obsidian plugin for AI chat, workflow automation, and semantic search — supports Gemini, OpenAI, OpenRouter, Grok, Ollama,... 18 stars https://www.openagentskill.com/skills/takeshy-obsidian-llm-hub?ref=x
Optional reply with install command
Listing + install path for Obsidian Llm Hub: https://www.openagentskill.com/skills/takeshy-obsidian-llm-hub?ref=x Install: npx skills add takeshy/obsidian-llm-hub
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- takeshy
- Source
- takeshy/obsidian-llm-hub
- 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 skillOwner claim
Claim this skill listing
This Community indexed listing is attributed to takeshy 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.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/takeshy-obsidian-llm-hub)
[](https://www.openagentskill.com/skills/takeshy-obsidian-llm-hub)
[](https://www.openagentskill.com/skills/takeshy-obsidian-llm-hub/audit)
[](https://www.openagentskill.com/skills/takeshy-obsidian-llm-hub)Author
takeshy
@takeshy
Platform fit
Health signals
- GitHub stars
- 18
- Quality score
- 40/100
- Last GitHub push
- Jul 24, 2026
- Framework hints
- 1
- OpenAgentSkill views
- 12
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption18 GitHub starsFIX
- Stars/forks activity18 stars, 4 forks; issue activity unavailable in current metadataFIX
- Recent maintenance9d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surfaceINFO
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