Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计通过

multiversx-project-culturemultiversx 项目文化

Agent Skill

multiversx-project-culture 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

279

周安装

12

GitHub Stars

11

下载量

98
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:multiversx-project-culture(multiversx 项目文化)
来源仓库:https://github.com/multiversx/mx-ai-skills
仓库路径:skills/multiversx-project-culture
安装命令:
npx skills add https://github.com/multiversx/mx-ai-skills --skill multiversx-project-culture
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/multiversx/mx-ai-skills --skill multiversx-project-culture

简介

用于查找、检索和筛选相关信息,聚焦 MultiversX 项目文化和治理。

  • 适合了解社区规范、贡献流程或路线图规划。
  • 可结合官方文档验证信息准确性,避免误解内部机制。
  • 安装命令:npx skills add https://github.com/multiversx/mx-ai-skills --skill multiversx-project-culture。
  • 注意区分公开信息与内部策略,不传播未公开细节。

SKILL.md

Project Culture & Code Maturity Assessment

Evaluate the quality and reliability of a MultiversX codebase based on documentation presence, testing culture, code hygiene, and development practices. This assessment helps calibrate audit depth and identify areas of concern.

When to Use

  • Starting engagement with a new project
  • Estimating audit scope and effort
  • Evaluating investment or integration risk
  • Providing feedback on development practices
  • Prioritizing review focus areas

1. Documentation Quality

Documentation Presence Checklist

ItemLocationStatus
README.mdProject root[] Present [] Useful
Build instructionsREADME or BUILDING.md[] Present [] Tested
API documentationdocs/ or inline[] Present [] Complete
Architecture overviewdocs/ or specs/[] Present
Deployment guideREADME or DEPLOY.md[] Present

MultiversX-Specific Documentation

ItemPurposeStatus
multiversx.jsonStandard build configuration[] Present
sc-config.tomlContract configuration[] Present
multiversx.yamlAdditional config[] Optional
snippets.shInteraction scripts[] Helpful
interaction/Deployment/call scripts[] Very helpful

Specification Documents

DocumentQuality Indicator
WhitepaperFormal specification of behavior
specs/ directoryDetailed technical specs
MIP compliance docsStandard adherence documentation
Security considerationsThreat model awareness

Documentation Quality Scoring

HIGH QUALITY:
- README explains purpose, build, test, deploy
- Architecture diagrams present
- API fully documented with examples
- Security model documented

MEDIUM QUALITY:
- README with basic instructions
- Some inline documentation
- Partial API coverage

LOW QUALITY:
- Minimal or no README
- No inline comments
- No architectural documentation

2. Testing Culture Assessment

Test Presence

# Check for Rust unit tests
grep -r "#\[test\]" src/

# Check for scenario tests
ls -la scenarios/

# Check for integration tests
ls -la tests/

Scenario Test Coverage

Coverage LevelIndicators
ExcellentEvery endpoint has scenario, edge cases tested, failure paths covered
GoodAll endpoints have basic scenarios, some edge cases
MinimalOnly deploy.scen.json or few scenarios
NoneNo scenarios/ directory

Test Quality Indicators

// HIGH QUALITY: Tests cover edge cases
#[test]
fn test_deposit_zero_amount() { }  // Boundary
#[test]
fn test_deposit_max_amount() { }   // Boundary
#[test]
fn test_deposit_wrong_token() { }  // Error case
#[test]
fn test_deposit_unauthorized() { } // Access control

// LOW QUALITY: Only happy path
#[test]
fn test_deposit() { }  // Basic only

Continuous Integration

CI FeatureStatus
Automated builds[] Present
Test execution[] Present
Coverage reporting[] Present
Lint/format checks[] Present
Security scanning[] Present

Simulation Testing

Look for:

  • mx-chain-simulator-go usage
  • Docker-based test environments
  • Integration test scripts

3. Code Hygiene Assessment

Linter Compliance

# Run Clippy
cargo clippy -- -W clippy::all

# Check formatting
cargo fmt --check
Clippy StatusInterpretation
0 warningsExcellent hygiene
< 10 warningsGood, minor issues
10-50 warningsNeeds attention
> 50 warningsPoor hygiene

Magic Numbers

# Find raw numeric literals
grep -rn "[^a-zA-Z_][0-9]\{2,\}[^a-zA-Z0-9_]" src/

Bad:

let seconds = 86400;  // What is this?
let fee = amount * 3 / 100;  // Magic 3%

Good:

const SECONDS_PER_DAY: u64 = 86400;
const FEE_PERCENT: u64 = 3;
const FEE_DENOMINATOR: u64 = 100;

let seconds = SECONDS_PER_DAY;
let fee = amount * FEE_PERCENT / FEE_DENOMINATOR;

Error Handling

# Count unwrap usage
grep -c "\.unwrap()" src/*.rs

# Count expect usage
grep -c "\.expect(" src/*.rs

# Count proper error handling
grep -c "sc_panic!\|require!" src/*.rs
PatternQuality Indicator
Mostly require! with messagesGood
Mixed require! and unwrap()Needs review
Mostly unwrap()Poor

Code Comments

AspectGood Practice
Complex logicHas explanatory comments
Public APIsHas doc comments
AssumptionsDocumented inline
TODOsTracked, not ignored
// GOOD: Complex logic explained
/// Calculates rewards using compound interest formula.
/// Formula: P * (1 + r/n)^(nt) where:
/// - P: principal
/// - r: annual rate (in basis points)
/// - n: compounding frequency
/// - t: time in years
fn calculate_rewards(&self, principal: BigUint, time: u64) -> BigUint {
    // ...
}

// BAD: No explanation for complex logic
fn calc(&self, p: BigUint, t: u64) -> BigUint {
    // Dense, unexplained calculation
}

4. Dependency Management

Cargo.lock Presence

ls -la Cargo.lock
StatusInterpretation
CommittedReproducible builds
Not committedVersion drift risk

Version Pinning

# GOOD: Specific versions
[dependencies.multiversx-sc]
version = "0.64.1"  # edition = "2024" recommended

# BAD: Wildcard versions
[dependencies.multiversx-sc]
version = "*"

# ACCEPTABLE: Caret (minor updates)
[dependencies.multiversx-sc]
version = "^0.54"

Dependency Audit

# Check for known vulnerabilities
cargo audit

5. Maturity Scoring Matrix

Score Calculation

CategoryWeightHigh (3)Medium (2)Low (1)
Documentation20%CompletePartialMinimal
Testing30%Full coverageBasic coverageMinimal
Code hygiene20%Clean ClippyFew warningsMany issues
Dependencies15%Pinned, auditedPinnedWildcards
CI/CD15%Full pipelineBasicNone

Interpretation

ScoreMaturityAudit Focus
2.5-3.0HighBusiness logic, edge cases
1.5-2.4MediumBroad review, verify basics
1.0-1.4LowEverything, assume issues exist

6. Red Flags

Immediate Concerns

Red FlagRisk
No tests at allLogic likely untested
Wildcard dependenciesSupply chain vulnerability
unsafe blocks without justificationMemory safety issues
Excessive unwrap()Panic vulnerabilities
No READMEMaintenance abandoned?
Outdated framework versionKnown vulnerabilities

Yellow Flags

Yellow FlagConcern
Few scenario testsLimited coverage
Some Clippy warningsTechnical debt
Incomplete documentationKnowledge silos
No CI/CDRegression risk

7. Assessment Report Template

# Project Maturity Assessment

**Project**: [Name]
**Version**: [Version]
**Date**: [Date]
**Assessor**: [Name]

## Summary Score: [X/3.0] - [HIGH/MEDIUM/LOW] Maturity

## Documentation (Score: X/3)
- README: [Present/Missing]
- Build instructions: [Tested/Untested/Missing]
- Architecture docs: [Complete/Partial/Missing]
- API docs: [Complete/Partial/Missing]

## Testing (Score: X/3)
- Unit tests: [X tests found]
- Scenario tests: [X scenarios covering Y endpoints]
- Coverage estimate: [X%]
- Edge case coverage: [Good/Partial/Minimal]

## Code Hygiene (Score: X/3)
- Clippy warnings: [X warnings]
- Formatting: [Consistent/Inconsistent]
- Magic numbers: [X instances]
- Error handling: [Good/Needs work]

## Dependencies (Score: X/3)
- Cargo.lock: [Committed/Missing]
- Version pinning: [All/Some/None]
- Known vulnerabilities: [None/X found]

## CI/CD (Score: X/3)
- Build automation: [Yes/No]
- Test automation: [Yes/No]
- Security scanning: [Yes/No]

## Recommendations
1. [Highest priority improvement]
2. [Second priority]
3. [Third priority]

## Audit Focus Areas
Based on this assessment, the audit should prioritize:
1. [Area based on weaknesses]
2. [Area based on risk]

8. Improvement Recommendations by Level

For Low Maturity Projects

  1. Add basic README with build instructions
  2. Create scenario tests for all endpoints
  3. Fix all Clippy warnings
  4. Pin dependency versions
  5. Set up basic CI

For Medium Maturity Projects

  1. Expand test coverage to edge cases
  2. Add architecture documentation
  3. Document security considerations
  4. Add coverage reporting
  5. Implement security scanning

For High Maturity Projects

  1. Formal verification consideration
  2. Fuzzing and property testing
  3. External security audit
  4. Bug bounty program
  5. Incident response documentation

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.76%
按下载量换算32

Claude

29.07%
按下载量换算28

Cursor

19.95%
按下载量换算20

Gemini CLI

9.87%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills