Chinese Llm Benchmark

STRONG · 81

Community indexed

非线智能 NoneLinear - ReLE评测：中文AI大模型能力评测（持续更新）：目前已囊括374个大模型，覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3.6-max、qwen3.6-plus、百川、讯飞星火、商汤senseChat等商用模型，以及step3.5-flash、kimi-k2.6、ernie4.5、MiniMax-M2.7、deepseek-v4、Qwen3.6、llama4、智谱GLM-5.1、MiMo-V2、LongCat、gemma4、mistral等开源大模型。不仅提供排行榜，也提供规模超200万的大模型缺陷库！方便广大社区研究分析、改进大模型。

Downloads0

Stars6.2K

Version1.0.0

Quality100/100 · Excellent

Trust81/100 · Review then install

Audit93/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add jeinlee1991/chinese-llm-benchmark

Maintenance

fresh

30d since push

Risk

Safe to try

License is unclear

GitHub quality

6.2K

100/100 quality · 89/100 trust

Coverage tags

CodingGitHub automationagent-frameworksllm-agentagents

Review notes

License is unclear · License clarity: Unknown

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

Excellent

100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try

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

Trust Score v5

Human review before install

Use as the primary candidate after human or sandbox review.

LLMCodexClaude CodeCursorOpenAgentSkill CLI

Stars

6.2K GitHub stars

Repo activity

6.2K stars, 250 forks

Maintenance

30d since push

License

Unknown

Install

npx skills add jeinlee1991/chinese-llm-benchmark

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

License is unclear
License clarity: Unknown

Install readiness

Install path available

Install path is available
Repository evidence is available
License is unclear
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

GitHub automation workflows
Claude Code teams
teams that value GitHub adoption signals
Inspect repository metadata

Suited agents

LLMCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command: npx skills add jeinlee1991/chinese-llm-benchmark
Policy: review
Human review: yes

Trust and risk

Trust: 81/100
Audit: 93/100
Risk level: Safe to try

Outcome loop

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

Install command

npx skills add jeinlee1991/chinese-llm-benchmark

Public audit Eval report Resolve API Install handoff

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
License is unclear
License clarity: Unknown

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Agent safety v2

77/100 · Review before install

Reviewedreview

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.

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.

License is unclear

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 jeinlee1991/chinese-llm-benchmark

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%20Chinese%20Llm%20Benchmark%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Chinese%20Llm%20Benchmark%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/jeinlee1991-chinese-llm-benchmark/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 Chinese Llm Benchmark in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Chinese%20Llm%20Benchmark%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jeinlee1991-chinese-llm-benchmark/install
Install command: npx skills add jeinlee1991/chinese-llm-benchmark
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/jeinlee1991-chinese-llm-benchmark/install

LLM text format

/api/skills/jeinlee1991-chinese-llm-benchmark/install?format=text

Find alternatives

/api/skills/search?q=Chinese%20Llm%20Benchmark&limit=3

Agent prompt

Use Chinese Llm Benchmark for this task. Review https://www.openagentskill.com/api/skills/jeinlee1991-chinese-llm-benchmark/install, then install with: npx skills add jeinlee1991/chinese-llm-benchmark

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/jeinlee1991-chinese-llm-benchmark

LLM text

/api/registry/manifest/jeinlee1991-chinese-llm-benchmark?format=text

Install alias

/api/registry/install/jeinlee1991-chinese-llm-benchmark

Recommend

/api/registry/recommend?task=Use%20Chinese%20Llm%20Benchmark%20in%20an%20agent%20workflow&limit=3

Agent fit

100/100

GitHub automation

Use-case tags

GitHub automation Coding agents RAG and knowledge

Platforms

LLM, Claude Code, OpenAI Agents

Audit report

Safe to try · 93/100

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

View audit report View eval report

Agent decision cockpit

Primary pick for GitHub automation

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100

Readiness

Adopt

Stage

Role in stack

Primary pick

Primary fit

GitHub automation

Trust label

Production-ready

Install path

Command ready

Use when

GitHub automation workflows
Claude Code teams
teams that value GitHub adoption signals

Evidence

6,163 GitHub stars
recent repository activity
install command or GitHub repo available
100/100 quality profile
8 OpenAgentSkill engagement events

Review first

No major risk signals from current metadata

Implementation path

1Install it in a sandbox agent and run one GitHub automation 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

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Trust score

GitHub adoption

PASS

6.2K GitHub stars

Stars/forks activity

PASS

6.2K stars, 250 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

30d since push

License clarity

CHECK

Unknown

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
Outcome loop is ready but needs first real agent run

Review before install

License is unclear
License clarity: Unknown
No real agent outcome reports yet
Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100

GitHub stars

6.2K

Freshness

30d ago

Install ready

Yes

License

Unknown

Workflow fit

Use this skill in these scenarios

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.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Stack fit

Add it to a complete workflow

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.

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.

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

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Overview

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

llmFULL

Technical Details

Version: 1.0.0
License: Unknown
Last Updated: 6/14/2026
Published: 5/23/2026

Frameworks & Tools

LLM

Decision snapshot

Primary pick

100

Ready

Adopt

Stage

6,163 GitHub stars

Audit snapshot

Install review

Install and adoption review

Safe to try

Security: 82/100
Maintenance: 100/100
Install: 92/100

Open full audit Open eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

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.

Agent-Proven ranking Outcome contract

Install

Add to agent workflow

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

Compare Alternatives Auto-resolve Plan View on GitHub Documentation

Growth loop

Share kit

Scenario-led draft for Chinese Llm Benchmark, ready for a manual X post.

Curator note

Most coding agents don't fail from lack of model power. They fail when repo context disappears.

Chinese Llm Benchmark gives coding agents a repeatable way to plan, patch, revi...

6.2K stars

https://www.openagentskill.com/skills/jeinlee1991-chinese-llm-benchmark?ref=x
#AIAgents

Open X draft

Optional reply with install command

Listing + install path for Chinese Llm Benchmark:
https://www.openagentskill.com/skills/jeinlee1991-chinese-llm-benchmark?ref=x

Install: npx skills add jeinlee1991/chinese-llm-benchmark

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: jeinlee1991
Source: jeinlee1991/chinese-llm-benchmark
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 jeinlee1991 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/jeinlee1991-chinese-llm-benchmark)](https://www.openagentskill.com/skills/jeinlee1991-chinese-llm-benchmark)

Preview badge Audit badge

Author

jeinlee1991✓

@jeinlee1991

Platform Fit

Claude Code OpenAI Agents

Health Signals

GitHub stars: 6.2K
Quality score: 68/100
Last GitHub push: Jun 7, 2026
Framework hints: 1
OpenAgentSkill views: 4
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

Review then install

GitHub adoption6.2K GitHub starsPASS
Stars/forks activity6.2K stars, 250 forks; issue activity unavailable in current metadataPASS
Recent maintenance30d since pushPASS
License clarityUnknownCHECK
README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
Dependency/runtime riskno major dependency risk hints in public metadataPASS

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Chinese Llm Benchmark

Coding and developer agents

Trust, audit, and install readiness at a glance

Human review before install

Review before production

Install path available

Machine-readable decision data for this skill.

AutoGPT

Langchain

Hermes Agent

Firecrawl

77/100 · Review before install

Network access

Filesystem access

Install this skill in your agent workflow

OpenAgentSkill CLI

Let an agent verify fit before installing.

Give an agent the install path, not another directory page.

Agent-readable profile for automatic skill selection.

Safe to try · 93/100

Primary pick for GitHub automation

Review then install

Excellent candidate for agent workflows

Use this skill in these scenarios

GitHub automation

Coding agents

RAG and knowledge

Add it to a complete workflow

Content growth agent

Coding review agent

RAG knowledge base

Compare before you install

AutoGPT

Langchain

Hermes Agent

Firecrawl

Overview

Platform Compatibility

Technical Details

Primary pick

Install review

Agent Proven evidence

Add to agent workflow

Share kit

Community indexed

Claim this skill listing

README badge

Author

Tags

Platform Fit

Health Signals

Community Signal

Trust & Safety

Related Skills