Elasticsearch Sql
Use SQL to query Elasticsearch
Supply asset profile
Data, BI, and analytics
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add NLPchina/elasticsearch-sql
Maintenance
active
2mo since push
Risk
Safe to try
Documentation summary is thin
GitHub quality
7.0K
100/100 quality · 89/100 trust
Coverage tags
Review notes
Documentation summary is thin
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 OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v4
Agent install candidate
Shortlist for production use, then run a normal repository and dependency review.
Stars
7.0K GitHub stars
Repo activity
7.0K stars, 1.5K forks
Maintenance
2mo since push
License
Apache-2.0
Install
npx skills add NLPchina/elasticsearch-sql
Install safety
standard package or runtime install path
Permission surface
filesystem or document access, database access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Low metadata risk
- Documentation summary is thin
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- 2mo since push
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
- teams that value GitHub adoption signals
- Chunk documents
- Create embeddings
Suited agents
Trust and risk
- Trust score
- 89/100
- Risk level
- Safe to try
- Auto install
- review
Install command
npx skills add NLPchina/elasticsearch-sqlDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No OpenAgentSkill engagement data yet
- Documentation summary is thin
- Production credentials, payments, or irreversible account changes without explicit human review
Agent safety v2
72/100 · Review before install
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
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.
- Documentation summary is thin
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 NLPchina/elasticsearch-sqlAgent 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%20Elasticsearch%20Sql%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Elasticsearch%20Sql%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/nlpchina-elasticsearch-sql/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 Elasticsearch Sql in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Elasticsearch%20Sql%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/nlpchina-elasticsearch-sql/install
Install command: npx skills add NLPchina/elasticsearch-sql
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/nlpchina-elasticsearch-sql/install
LLM text format
/api/skills/nlpchina-elasticsearch-sql/install?format=text
Find alternatives
/api/skills/search?q=Elasticsearch%20Sql&limit=3
Agent prompt
Use Elasticsearch Sql for this task. Review https://www.openagentskill.com/api/skills/nlpchina-elasticsearch-sql/install, then install with: npx skills add NLPchina/elasticsearch-sqlRegistry 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/nlpchina-elasticsearch-sql
LLM text
/api/registry/manifest/nlpchina-elasticsearch-sql?format=text
Install alias
/api/registry/install/nlpchina-elasticsearch-sql
Recommend
/api/registry/recommend?task=Use%20Elasticsearch%20Sql%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Java, SQL, Claude Code
Audit report
Safe to try · 92/100
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
- 7,014 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 100/100 quality profile
Review first
- No OpenAgentSkill engagement data yet
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 OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.
GitHub adoption
PASS7.0K GitHub stars
Stars/forks activity
PASS7.0K stars, 1.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
PASSApache-2.0
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
Review before install
- Documentation summary is thin
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.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
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
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Overview
Use SQL to query Elasticsearch
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
- Apache-2.0
- Last Updated
- 6/22/2026
- Published
- 6/21/2026
Frameworks & Tools
Decision snapshot
Primary pick
7,014 GitHub stars
Audit snapshot
Install review
Install and adoption review
- Security
- 86/100
- Maintenance
- 88/100
- Install
- 92/100
Agent outcome signals
Real use feedback
Reported by agents after resolve, review, and install.
- Outcomes
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
No agent outcome data yet
Install
Add to agent workflow
Free and open source. Review the audit before production use.
Growth loop
Share kit
Scenario-led draft for Elasticsearch Sql, ready for a manual X post.
OpenAgentSkill Update Today: Elasticsearch Sql Use it when you want your coding agent to carry more repo context and ship repetitive changes faster. 7.0K stars - data-analysis Link: https://www.openagentskill.com/skills/nlpchina-elasticsearch-sql?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for Elasticsearch Sql: https://www.openagentskill.com/skills/nlpchina-elasticsearch-sql?ref=x Install: npx skills add NLPchina/elasticsearch-sql
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- NLPchina
- 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 NLPchina 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/nlpchina-elasticsearch-sql)Author
NLPchina✓
@nlpchina
Platform Fit
Health Signals
- GitHub stars
- 7.0K
- Quality score
- 66/100
- Last GitHub push
- May 4, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 0
- 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
- GitHub adoption7.0K GitHub starsPASS
- Stars/forks activity7.0K stars, 1.5K forks; issue activity unavailable in current metadataPASS
- Recent maintenance2mo since pushPASS
- License clarityApache-2.0PASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskdatabase surfacePASS
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