FunpySpiderSearchEngine
Word2vec 千人千面 个性化搜索 + Scrapy2.3.0(爬取数据) + ElasticSearch7.9.1(存储数据并提供对外Restful API) + Django3.1.1 搜索
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 + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add mtianyan/FunpySpiderSearchEngine
Maintenance
stale
3y since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
934
56/100 quality · 74/100 trust
Coverage tags
Review notes
Permission surface may require sandboxing · Repository appears stale
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
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Needs reviewInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v3
Human review before install
Test in a sandbox workflow and compare its install path with close alternatives.
Stars
934 GitHub stars
Repo activity
934 stars, 312 forks
Maintenance
3y since push
License
MIT
Install
npx skills add mtianyan/FunpySpiderSearchEngine
Install safety
standard package or runtime install path
Permission surface
filesystem or document access, network or browser access
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Repository looks stale
- Quality score needs review
- Permission surface needs review: filesystem or document access, network or browser access
- Recent maintenance: 3y since push
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- 3y 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
- 74/100
- Risk level
- Needs review
- Auto install
- review
Install command
npx skills add mtianyan/FunpySpiderSearchEngineDo not use when
- teams that require actively maintained dependencies
- production agents without a repository review
- Repository looks stale
- No OpenAgentSkill engagement data yet
- Permission surface may require sandboxing
Agent safety v2
45/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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.
- Permission surface may require sandboxing
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 mtianyan/FunpySpiderSearchEngineAgent 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%20FunpySpiderSearchEngine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20FunpySpiderSearchEngine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/mtianyan-funpyspidersearchengine/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 FunpySpiderSearchEngine in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20FunpySpiderSearchEngine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mtianyan-funpyspidersearchengine/install
Install command: npx skills add mtianyan/FunpySpiderSearchEngine
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/mtianyan-funpyspidersearchengine/install
LLM text format
/api/skills/mtianyan-funpyspidersearchengine/install?format=text
Find alternatives
/api/skills/search?q=FunpySpiderSearchEngine&limit=3
Agent prompt
Use FunpySpiderSearchEngine for this task. Review https://www.openagentskill.com/api/skills/mtianyan-funpyspidersearchengine/install, then install with: npx skills add mtianyan/FunpySpiderSearchEngineRegistry 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/mtianyan-funpyspidersearchengine
LLM text
/api/registry/manifest/mtianyan-funpyspidersearchengine?format=text
Install alias
/api/registry/install/mtianyan-funpyspidersearchengine
Recommend
/api/registry/recommend?task=Use%20FunpySpiderSearchEngine%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Python, Search, Claude Code
Audit report
Needs review · 65/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
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
- teams that value GitHub adoption signals
Evidence
- 934 GitHub stars
- install command or GitHub repo available
- 56/100 quality profile
Review first
- Repository looks stale
- 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
Strong shortlist
Good trust signals with a few areas worth checking before rollout.
GitHub adoption
INFO934 GitHub stars
Stars/forks activity
INFO934 stars, 312 forks; issue activity unavailable in current metadata
Recent maintenance
FIX3y since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Meaningful GitHub adoption signal
- Install command has no obvious high-risk pattern
Review before install
- Repository looks stale
- Quality score needs review
- Permission surface needs review: filesystem or document access, network or browser access
- Recent maintenance: 3y since push
- Permission surface: filesystem or document access, network or browser access
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
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.
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
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
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Overview
Word2vec 千人千面 个性化搜索 + Scrapy2.3.0(爬取数据) + ElasticSearch7.9.1(存储数据并提供对外Restful API) + Django3.1.1 搜索
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
- MIT
- Last Updated
- 6/16/2026
- Published
- 6/16/2026
Frameworks & Tools
Decision snapshot
Fallback candidate
934 GitHub stars
Audit snapshot
Install review
Install and adoption review
- Security
- 84/100
- Maintenance
- 20/100
- Install
- 92/100
Install
Add to agent workflow
Free and open source. Review the audit before production use.
Growth loop
Share kit
Scenario-led draft for FunpySpiderSearchEngine, ready for a manual X post.
OpenAgentSkill Update Today: FunpySpiderSearchEngine Use it when you need an agent to browse, extract, or monitor web pages without building... 934 stars - rag-knowledge Link: https://www.openagentskill.com/skills/mtianyan-funpyspidersearchengine?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for FunpySpiderSearchEngine: https://www.openagentskill.com/skills/mtianyan-funpyspidersearchengine?ref=x Install: npx skills add mtianyan/FunpySpiderSearchEngine
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- mtianyan
- 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 mtianyan 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/mtianyan-funpyspidersearchengine)Author
mtianyan
@mtianyan
Tags
Platform Fit
Health Signals
- GitHub stars
- 934
- Quality score
- 40/100
- Last GitHub push
- Feb 8, 2023
- 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
Strong shortlist
- GitHub adoption934 GitHub starsINFO
- Stars/forks activity934 stars, 312 forks; issue activity unavailable in current metadataINFO
- Recent maintenance3y since pushFIX
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime risknetwork or browser surface, database surfaceINFO
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