Logseq
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: https://logseq.io/p/NX4mc_ggEV
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Production candidateStrong trust signals across adoption, maintenance, install readiness, and review status.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Agent safety v2
89/100 · Safe to install with normal review
Safety v2 estimates whether an agent should auto-install this skill by combining audit risk, install readiness, inferred permission surface, and policy constraints.
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.
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.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add logseq/logseqAgent 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.
Resolve JSON
/api/agent/resolve?task=Use%20Logseq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Logseq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/logseq-logseq/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 Logseq in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Logseq%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/logseq-logseq/install
Install command: npx skills add logseq/logseq
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/logseq-logseq/install
LLM text format
/api/skills/logseq-logseq/install?format=text
Find alternatives
/api/skills/search?q=Logseq&limit=3
Agent prompt
Use Logseq for this task. Review https://www.openagentskill.com/api/skills/logseq-logseq/install, then install with: npx skills add logseq/logseqRegistry 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/logseq-logseq
LLM text
/api/registry/manifest/logseq-logseq?format=text
Install alias
/api/registry/install/logseq-logseq
Recommend
/api/registry/recommend?task=Use%20Logseq%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Clojure, Knowledge Graph, Claude Code
Audit report
Safe to try · 97/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for RAG and knowledge
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
- RAG and knowledge workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 43,374 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 100/100 quality profile
- 2 OpenAgentSkill engagement events
Review first
- No major risk signals from current metadata
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
Production candidate
Strong trust signals across adoption, maintenance, install readiness, and review status.
Ownership
PASSListing manually verified
Install path
PASSnpx skills add logseq/logseq
Repository
PASShttps://github.com/logseq/logseq
License
PASSAGPL-3.0
Good signals
- Manually verified listing
- AI review approved
- Recently maintained repository
- Large GitHub adoption signal
Review before install
No major trust warnings detected from available metadata.
Recommended action
Shortlist for production use, then run a normal repository and dependency review.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
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.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Stack fit
Add it to a complete workflow
Ingest, retrieve, and cite
RAG knowledge base
A stack 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 stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
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Overview
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: https://logseq.io/p/NX4mc_ggEV
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- AGPL-3.0
- Last Updated
- 6/14/2026
- Published
- 6/14/2026
Frameworks & Tools
Decision snapshot
Primary pick
43,374 GitHub stars
Audit Snapshot
Install and adoption review
- Security
- 87/100
- Maintenance
- 100/100
- Install
- 92/100
Growth loop
Share this skill
Scenario-led draft for Logseq, with the OpenAgentSkill Update theme and canonical URL.
OpenAgentSkill Update Today: Logseq Use it when you want your coding agent to carry more repo context and ship repetitive changes faster. 43.4K stars - rag-knowledge Link: https://www.openagentskill.com/skills/logseq-logseq?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for Logseq: https://www.openagentskill.com/skills/logseq-logseq?ref=x Install: npx skills add logseq/logseq
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- logseq
- Source
- logseq/logseq
- 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 logseq 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.
[](https://www.openagentskill.com/skills/logseq-logseq)Author
logseq✓
@logseq
Platform Fit
Health Signals
- GitHub stars
- 43.4K
- Quality score
- 76/100
- Last GitHub push
- Jun 14, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 1
- 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
Production candidate
- OwnershipListing manually verifiedPASS
- Install pathnpx skills add logseq/logseqPASS
- Repositoryhttps://github.com/logseq/logseqPASS
- LicenseAGPL-3.0PASS
- MaintenancePushed todayPASS
- AI reviewApproved with no listed issuesPASS
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