Wikipedia Semantic Search

REVIEW · 66
Community indexed

Semantic Search on Wikipedia with Upstash Vector

Downloads0
Stars470
Version1.0.0
Quality66/100 · Promising
Trust66/100 · Sandbox only
Audit74/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

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 upstash/wikipedia-semantic-search

Maintenance

stable

8mo since push

Risk

Needs review

Quality score needs review

GitHub quality

470

66/100 Quality · 74/100 Trust

Coverage tags

ResearchRAG and knowledgerag-knowledgevector-databaseretrieval

Review notes

Quality score needs review · Stars/forks activity: 470 stars, 36 forks; issue activity unavailable in current 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

Promising
66

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
66

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
74

A 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.

TypeScriptVector SearchCodexClaude CodeCursor

Stars

470 GitHub stars

Repo activity

470 stars, 36 forks

Maintenance

8mo since push

License

MIT

Install

npx skills add upstash/wikipedia-semantic-search

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

Review before production

  • Quality score needs review
  • Stars/forks activity: 470 stars, 36 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.

Open JSON

Suited tasks

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Chunk documents

Suited agents

TypeScriptVector SearchCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add upstash/wikipedia-semantic-search
Policy
review
Human review
yes

Trust and risk

Trust
66/100
Audit
74/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add upstash/wikipedia-semantic-search

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
  • Quality score needs review
  • Stars/forks activity: 470 stars, 36 forks; issue activity unavailable in current metadata

Agent safety v2

54/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

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.

  • Quality score needs review

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.

skill install

OpenAgentSkill CLI

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

$ npx skills add upstash/wikipedia-semantic-search

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 Wikipedia Semantic Search in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Wikipedia%20Semantic%20Search%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/upstash-wikipedia-semantic-search/install
Install command: npx skills add upstash/wikipedia-semantic-search
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 Wikipedia Semantic Search for this task. Review https://www.openagentskill.com/api/skills/upstash-wikipedia-semantic-search/install, then install with: npx skills add upstash/wikipedia-semantic-search

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

59/100

RAG and knowledge

Platforms

TypeScript, Vector Search, Claude Code

Audit report

Needs review · 74/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for RAG and knowledge

Prototype with this skill first; keep a fallback candidate ready.

59
Readiness
Prototype
Stage

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

  • install command or GitHub repo available
  • 66/100 quality profile
  • 7 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one RAG and knowledge 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

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

66
OpenAgentSkill Trust Score

GitHub adoption

INFO

470 GitHub stars

Stars/forks activity

CHECK

470 stars, 36 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

8mo since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Quality score needs review
  • Stars/forks activity: 470 stars, 36 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.

66
GitHub stars
470
Freshness
8mo ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

Semantic Search on Wikipedia with Upstash Vector

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

typescriptFULL
vector-searchFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Jun 16, 2026
Published
Jun 16, 2026

Frameworks & tools

TypeScriptVector Search

Decision snapshot

Fallback candidate

59
Ready
Prototype
Stage

install command or GitHub repo available

Audit

Install review

Install and adoption review

74
Needs review
Security
85/100
Maintenance
62/100
Install
92/100
Open full auditView 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 report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for Wikipedia Semantic Search, ready for a manual X post.

Curator note
A practical pick for source-backed research:

Wikipedia Semantic Search: Semantic Search on Wikipedia with Upstash Vector

470 stars

https://www.openagentskill.com/skills/upstash-wikipedia-semantic-search?ref=x
Open X draft
Optional reply with install command
Listing + install path for Wikipedia Semantic Search:
https://www.openagentskill.com/skills/upstash-wikipedia-semantic-search?ref=x

Install: npx skills add upstash/wikipedia-semantic-search

Listing source

Community indexed

Claimable

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

Creator
upstash
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 upstash 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.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/upstash-wikipedia-semantic-search?metric=listed&label=Listed)](https://www.openagentskill.com/skills/upstash-wikipedia-semantic-search)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/upstash-wikipedia-semantic-search?metric=trust&label=Trust)](https://www.openagentskill.com/skills/upstash-wikipedia-semantic-search)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/upstash-wikipedia-semantic-search?metric=audit&label=Audit)](https://www.openagentskill.com/skills/upstash-wikipedia-semantic-search/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/upstash-wikipedia-semantic-search?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/upstash-wikipedia-semantic-search)

Author

U

upstash

@upstash

Platform fit

Health signals

GitHub stars
470
Quality score
41/100
Last GitHub push
Dec 12, 2025
Framework hints
2
OpenAgentSkill views
7
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

66
  • GitHub adoption470 GitHub starsINFO
  • Stars/forks activity470 stars, 36 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance8mo since pushINFO
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskdatabase surfacePASS