Star0

Keras TextClassification

TRUSTED · 87
Community indexed

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Downloads0
Stars1.8K
Version1.0.0
Quality73/100 · Strong
Trust87/100 · Production candidate
Audit77/100 · 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 yongzhuo/Keras-TextClassification

Maintenance

stale

2y since push

Risk

Needs review

Repository appears stale

GitHub quality

1.8K

73/100 quality · 87/100 trust

Coverage tags

ResearchRAG and knowledgerag-knowledgeembeddingsretrieval

Review notes

Repository appears stale · Repository looks 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

Strong
73

Solid option that is likely worth shortlisting for production workflows.

Trust

Production candidate
87

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.

Audit

Needs review
77

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v3

Agent install candidate

Shortlist for production use, then run a normal repository and dependency review.

PythonEmbeddingsCodexClaude CodeCursor

Stars

1.8K GitHub stars

Repo activity

1.8K stars, 398 forks

Maintenance

2y since push

License

MIT

Install

npx skills add yongzhuo/Keras-TextClassification

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 2y since push

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • 2y 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.

Open JSON

Suited tasks

  • RAG and knowledge workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Chunk documents
  • Create embeddings

Suited agents

PythonEmbeddingsCodexClaude CodeCursorOpenAgentSkill CLICLI

Trust and risk

Trust score
87/100
Risk level
Needs review
Auto install
review

Install command

npx skills add yongzhuo/Keras-TextClassification
Public auditResolve APIInstall handoff

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • No OpenAgentSkill engagement data yet
  • Repository appears stale

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Agent safety v2

61/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

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.

  • Repository appears stale

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.

skill install

OpenAgentSkill CLI

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

$ npx skills add yongzhuo/Keras-TextClassification

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

Resolve JSON

/api/agent/resolve?task=Use%20Keras%20TextClassification%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Keras%20TextClassification%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/yongzhuo-keras-textclassification/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 Keras TextClassification in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Keras%20TextClassification%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yongzhuo-keras-textclassification/install
Install command: npx skills add yongzhuo/Keras-TextClassification
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

Install handoff

/api/skills/yongzhuo-keras-textclassification/install

LLM text format

/api/skills/yongzhuo-keras-textclassification/install?format=text

Find alternatives

/api/skills/search?q=Keras%20TextClassification&limit=3

Agent prompt

Use Keras TextClassification for this task. Review https://www.openagentskill.com/api/skills/yongzhuo-keras-textclassification/install, then install with: npx skills add yongzhuo/Keras-TextClassification

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

Manifest

/api/registry/manifest/yongzhuo-keras-textclassification

LLM text

/api/registry/manifest/yongzhuo-keras-textclassification?format=text

Install alias

/api/registry/install/yongzhuo-keras-textclassification

Recommend

/api/registry/recommend?task=Use%20Keras%20TextClassification%20in%20an%20agent%20workflow&limit=3

Agent fit

75/100

RAG and knowledge

Use-case tags

RAG and knowledgeCoding agentsBrowser automation

Platforms

Python, Embeddings, Claude Code

Audit report

Needs review · 77/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit report

Agent decision cockpit

Companion skill for RAG and knowledge

Shortlist this skill and compare it with close alternatives before production adoption.

75
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

RAG and knowledge

Trust label

Strong shortlist

Install path

Command ready

Use when

  • RAG and knowledge workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 1,815 GitHub stars
  • install command or GitHub repo available
  • 73/100 quality profile

Review first

  • Repository looks stale
  • No OpenAgentSkill engagement data yet

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

Production candidate

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.

87
Trust score

GitHub adoption

PASS

1.8K GitHub stars

Stars/forks activity

PASS

1.8K stars, 398 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

2y since push

License clarity

PASS

MIT

Good signals

  • Manually verified listing
  • 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
  • Recent maintenance: 2y since push

Recommended action

Shortlist for production use, then run a normal repository and dependency review.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

73
GitHub stars
1.8K
Freshness
2y ago
Install ready
Yes
License
MIT
Check before install: Repository looks stale

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.

Operate web apps

Browser automation

I need my agent to control a browser, fill forms, and verify web app workflows.

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.

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.

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.

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Overview

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

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

pythonFULL
embeddingsFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/16/2026
Published
6/16/2026

Frameworks & Tools

PythonEmbeddings

Decision snapshot

Companion skill

75
Ready
Shortlist
Stage

1,815 GitHub stars

Audit snapshot

Install review

Install and adoption review

77
Needs review
Security
89/100
Maintenance
38/100
Install
92/100
Open full audit

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Keras TextClassification, ready for a manual X post.

OpenAgentSkill Update
OpenAgentSkill Update
Today: Keras TextClassification

Use it when your agent needs to turn docs, data, or knowledge bases into answers and...

1.8K stars - rag-knowledge
Link: https://www.openagentskill.com/skills/yongzhuo-keras-textclassification?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for Keras TextClassification:
https://www.openagentskill.com/skills/yongzhuo-keras-textclassification?ref=x

Install: npx skills add yongzhuo/Keras-TextClassification
Open reply draft

Listing source

Community indexed

Claimable

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

Creator
yongzhuo
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 yongzhuo 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.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/yongzhuo-keras-textclassification)](https://www.openagentskill.com/skills/yongzhuo-keras-textclassification)
Preview badgeAudit badge

Author

Y

yongzhuo✓

@yongzhuo

Tags

embeddingsretrievalknowledgealbertbertcapsulecharcnncrnndcnndpcnn

Platform Fit

Claude Code

Health Signals

GitHub stars
1.8K
Quality score
50/100
Last GitHub push
Jun 17, 2024
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

87
  • GitHub adoption1.8K GitHub starsPASS
  • Stars/forks activity1.8K stars, 398 forks; issue activity unavailable in current metadataPASS
  • Recent maintenance2y since pushFIX
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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