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Agent Skill · 研究检索

eve-verification-plans(前夕验证计划)

eve-verification-plans 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。

eve-verification-plans 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 40,635。

总安装 1,270周安装 54GitHub Stars 公开资料未说明下载 445核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:eve-verification-plans(前夕验证计划)
来源仓库:https://github.com/incept5/eve-skillpacks
仓库路径:skills/eve-verification-plans
安装命令:
npx skills add https://github.com/incept5/eve-skillpacks --skill eve-verification-plans
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/incept5/eve-skillpacks --skill eve-verification-plans

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

eve-verification-plans 用于创建结构化的端到端验证文档,确保应用符合 Eve 平台规范并能正确运行,适合在 Codex、Claude、Cursor、Gemini CLI 中构建审计流程或交接验收时使用。它生成可执行的 Markdown 计划,涵盖功能验证、配置合规性和操作流程等内容。

使用时应在应用重大变更前后、团队轮换或上线前主动制定验证方案,确保质量可控。安装前应熟悉 Eve 约定和 manifest 结构,以便生成的计划具备实际可操作性。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/eve-verification-plans

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/incept5/eve-skillpacks --skill eve-verificatio…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

eve-verification-plans 怎么安装?

在终端执行 npx skills add https://github.com/incept5/eve-skillpacks --skill eve-verification-plans。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

eve-verification-plans 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

eve-verification-plans 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

eve-verification-plans 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

eve-verification-plans 用的人多吗?

公开数据是累计安装 1,270 次,近一周安装 54 次,下载 445 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

eve-verification-plans 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
eve-verification-plans

前夕验证计划 · 本页

1,270—接触敏感数据未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Eve Verification Plans

Author agentic verification plans — markdown documents that fully specify the steps to verify an Eve-compatible app works correctly AND conforms to Eve platform conventions. Plans are actionable by humans or agents.

When to Use

  • Building verification for a new Eve-compatible app
  • Auditing an existing app for Eve platform conformance
  • After significant feature work that needs structured validation
  • Before handoff — proving the app works the Eve way, end to end
  • Onboarding a new team to understand what "correctly built on Eve" looks like

Quick Start

# 1. Create the verification directory in your project
mkdir -p e2e-verification/00-smoke

# 2. Copy the smoke template
cp templates/00-smoke-test-plan.md e2e-verification/00-smoke/

# 3. Customize for your app (endpoints, services, agents)
# 4. Run it

The Six Verification Dimensions

Every Eve app has up to six dimensions to verify. Cover all that apply.

DimensionToolWhenConformance Check
Platform conformanceEve CLI + manifest inspectionAlwaysCLI parity, manifest conventions, secrets model
Service layerEve CLI + REST APIAlwaysEvery endpoint reachable via CLI; no kubectl needed
Input / ingestionRepo fixtures + upload commandsWhen app accepts filesDeterministic fixtures, real parsing flows
Data layerEve CLI + DB migrationsWhen app has DBMigrations via Eve pipeline, not manual SQL
UI / visualagent-browser or PlaywrightWhen frontend existsSSO login, dark/light mode, agent-testable
Agent behavioreve job follow + optimizationWhen app has agentsEfficient completion, no blind alleys

Verification Plan Format

Each scenario is a self-contained markdown document:

# Scenario NN: <Name>

**Time:** ~Nm
**Environment:** staging | local | both
**Parallel Safe:** Yes/No
**Requires:** LLM | Browser | None

<one-paragraph description>

## Prerequisites

- What must be true before running
- Required secrets, auth, prior scenarios

## Fixtures

- File paths used by this scenario
- Provenance or generation command for each
- Why these files are representative

## Setup

\```bash
# Environment detection + auth
# Project/org setup
# Fixture validation or generation
\```

## Phases

### Phase 1: <Name>

\```bash
# Commands to execute
\```

**Expected:**
- Bullet list of assertions
- Each assertion is pass/fail verifiable

### Phase 2: ...

## Success Criteria

- [ ] Checkboxes for every pass/fail assertion
- [ ] Grouped by phase

## Debugging

| Symptom | Diagnostic | Fix |
|---------|-----------|-----|
| ... | ... | ... |

## Cleanup

\```bash
# Teardown commands
\```

Format Rules

  • Environment-aware: Every plan starts with environment detection — EVE_API_URL determines cloud vs local
  • Self-contained: No assumed state beyond documented prerequisites
  • Fixture-explicit: Every uploaded/imported artifact is checked in or generated from documented commands
  • Phased: Break into phases that can run independently (parallel where safe)
  • Assertion-driven: Every step has explicit Expected: with pass/fail criteria
  • Debuggable: Troubleshooting section with symptom → diagnostic → fix

Platform Conformance Verification

Before testing functionality, verify the app is built the Eve way. Every verification suite starts with this checklist:

  • .eve/manifest.yaml exists and passes eve project sync --dry-run
  • Manifest follows current conventions (name preferred over legacy project)
  • All services have health endpoints reachable via Eve ingress
  • CLI can interact with every API endpoint (no "UI-only" functionality)
  • Secrets managed via eve secrets, not hardcoded or env-file-based
  • DB migrations run as pipeline steps, not manual scripts
  • Agents (if any) defined in agents.yaml with harness profiles
  • Pipelines (if any) defined in manifest and runnable via eve pipeline run
  • Frontend (if any) authenticates via Eve SSO, not custom auth
  • Upload/import flows (if any) have deterministic fixtures checked in or generated locally

See references/eve-conformance-checks.md for the full checklist with rationale.

Service Layer Verification

Test every API surface CLI-first:

TOKEN=$(eve auth token --raw)

# Health check (always first)
curl -sf "${APP_SCHEME}://api.${APP_DOMAIN}/health" | jq '.'

# App API via auth token
curl -sf -H "Authorization: Bearer $TOKEN" \
  "${APP_SCHEME}://api.${APP_DOMAIN}/endpoint" | jq '.field'

CLI parity assertion: For every curl call in a test plan, ask: "Can this also be done via a CLI command?" If not, file an issue — don't accept it.

Pattern:

  1. Eve CLI commands where they exist (deploy, env, job, secrets)
  2. App CLI if the app follows eve-app-cli patterns
  3. REST API via curl with auth tokens for custom endpoints
  4. Auth: Mint tokens via eve auth mint or eve auth token --raw

Input / Ingestion Verification

When the app accepts uploads, imports, or document bundles, verification must include a fixture plan.

Fixture Selection Order

  1. Reuse existing repo fixtures if they match accepted file types and are deterministic
  2. Manufacture synthetic fixtures locally with committed scripts
  3. Source small public-domain fixtures only when local manufacture would reduce realism

Fixture Matrix

  • Minimal valid — smallest acceptable file that exercises the happy path
  • Typical real-world — representative document/media/import file
  • Boundary / invalid — wrong type, malformed structure, or size edge
  • Cross-format — if the app accepts multiple types (PDF + Markdown + CSV), verify each

What to Check

  • File accepted through the real app surface (CLI, REST endpoint, or browser upload)
  • MIME/type detection and metadata are correct
  • Storage/persistence path is correct
  • Downstream processing produces expected results
  • Error handling is explicit for rejected or malformed fixtures

Rule: If a plan says "upload a sample PDF", it must include an actual file path or generator step. "Find a PDF online" is not acceptable.

See references/fixture-patterns.md for detailed guidance.

UI Verification

When the app has a frontend, verify visual quality and interaction flows.

SSO Token Injection

# Mint an SSO token via CLI
SSO_TOKEN=$(eve auth mint --email user@example.com --org $ORG_ID --format sso-jwt)

# Use agent-browser with the token
agent-browser --session verify open "${APP_URL}/auth/callback?token=${SSO_TOKEN}"
agent-browser --session verify wait --url "**/dashboard"
agent-browser --session verify screenshot ./e2e-verification/artifacts/dashboard.png

What to Check

  • Pages render without console errors
  • Dark mode and light mode both work (screenshot both)
  • Key user flows complete (login → dashboard → action → result)
  • Responsive layout at standard breakpoints
  • Forms submit correctly and validation fires

See references/ui-verification-patterns.md for tool choice guidance and patterns.

Agent Verification

When the app includes Eve agents, verification extends to behavior quality.

  1. Create a job that exercises the agent's primary workflow
  2. Follow execution: eve job follow <job-id>
  3. Check receipt: eve job receipt <job-id> (tokens, cost, duration)
  4. Apply eve-agent-optimisation diagnostic workflow
  5. Record baseline metrics in the test plan for regression detection

What to Check

  • Agent completes its task (correct output)
  • Token usage within acceptable bounds
  • No unnecessary tool calls or blind alleys
  • Error cases handled gracefully (bad input, missing secrets)
  • Multi-agent coordination works (jobs complete in dependency order)

See references/agent-verification-patterns.md for integration with optimization.

Deploy Cycle Patterns

Verification often reveals issues. The fix/deploy loop:

Cloud (Staging) — Default

discover bug → fix code → commit → tag release-v* → push tag →
  wait for CI (publish-images → infra dispatch → deploy) →
  re-run failed scenario

Local (k3d)

discover bug → fix code → pnpm build →
  ./bin/eh k8s-image push → ./bin/eh k8s deploy →
  re-run failed scenario

See references/deploy-cycle-patterns.md for environment detection and wait patterns.

Scenario Discovery

How to identify what scenarios to create for a given app:

  1. Read the manifest — every service is a verification target
  2. Read agents config — every agent needs a behavioral test
  3. Read the API spec — every endpoint group is a potential scenario
  4. Check upload/import surfaces — every accepted file class needs fixtures
  5. Check pipelines — build/deploy/workflow pipelines need end-to-end verification
  6. Check the UI — every page/route needs visual verification
  7. Check integrations — webhooks, chat gateways, external APIs

Minimum Scenario Set

ScenarioRequiredWhat It Covers
00-smokeAlwaysHealth, auth, connectivity + Eve conformance checklist
01-deployAlwaysBuild, release, deploy via pipeline, verify endpoints
02-core-flowAlwaysPrimary user journey end-to-end (CLI + API)
03-ui-visualIf frontendScreenshot verification, SSO login, dark/light mode
04-input-ingestionIf uploads/importsFixture upload, parsing, storage, error handling
05-data-layerIf databaseMigrations via pipeline, schema correct, data integrity
06-agent-executionIf agentsAgents complete primary tasks correctly
07-agent-optimizationIf agentsBaseline metrics + optimization pass
08-pipeline-flowsIf pipelinesEach pipeline runs end-to-end, steps succeed in order

Running Verification Plans

Sequential Execution

# Run scenarios in order
for plan in e2e-verification/*/; do
  echo "=== Running: $plan ==="
  # Agent reads and executes the plan document
done

Parallel Execution

Scenarios marked Parallel Safe: Yes can run concurrently. Typically:

  • 00-smoke runs first (validates prerequisites)
  • 01-deploy through 03-ui-visual can parallelize
  • Agent scenarios (06-07) depend on deploy completing

CI Integration

# In CI, set environment and run
export EVE_API_URL=https://api.eh1.incept5.dev
eve auth login --email $CI_EMAIL --ssh-key $CI_SSH_KEY

# Run all scenarios, collect artifacts
mkdir -p e2e-verification/artifacts
# Agent executes each plan, screenshots/logs go to artifacts/

File Structure

<project-root>/
  e2e-verification/
    README.md                    # Index of all scenarios
    00-smoke/
      00-smoke-test-plan.md
    01-deploy/
      01-deploy-test-plan.md
    02-core-flow/
      02-core-flow-test-plan.md
      fixtures/
        README.md
        test-data.json
    03-ui-visual/
      03-ui-visual-test-plan.md
    04-input-ingestion/
      04-input-ingestion-test-plan.md
      fixtures/
        README.md
        sample-document.pdf
        sample-import.csv
        scripts/
          make-fixtures.sh
    artifacts/                   # Generated during runs (gitignored)

Numbering: NN-kebab-name/ directories with matching NN-kebab-name-test-plan.md. Numbers imply execution order. Gaps are fine — they allow insertion without renaming.

Fixtures: Every scenario that depends on uploaded or imported inputs gets a sibling fixtures/ directory. fixtures/README.md records provenance, generation steps, and sensitivity notes.

References

  • references/test-plan-format.md — Full format specification with annotated examples
  • references/eve-conformance-checks.md — The Eve way: what to verify and why
  • references/fixture-patterns.md — Fixture sourcing, manufacture, and documentation
  • references/deploy-cycle-patterns.md — Fix/deploy loop for cloud and local
  • references/ui-verification-patterns.md — Browser automation and SSO auth patterns
  • references/agent-verification-patterns.md — Agent testing and optimization integration

Templates

  • templates/00-smoke-test-plan.md — Starter smoke + conformance template
  • templates/scenario-test-plan.md — General scenario skeleton
  • templates/upload-ingest-test-plan.md — Input-heavy scenario with fixture matrix

Related Skills

SkillRelationship
eve-agent-optimisationCalled from agent verification scenarios
eve-web-ui-testing-agent-browserUI verification tool
eve-deploy-debuggingDeploy cycle troubleshooting
eve-cli-primitivesCLI commands used in service-layer tests
eve-manifest-authoringManifest conventions that conformance checks validate
eve-app-cliApp CLI patterns — verification asserts CLI parity
eve-pipelines-workflowsPipeline conventions tested by pipeline scenarios
eve-auth-and-secretsAuth + secrets model validated by conformance checks
eve-troubleshootingGeneral debugging when verification fails
eve-read-eve-docsReference source for current CLI/manifest/auth behavior
eve-agent-native-designDesign principles encoded in conformance checks

平台分布

Codex

35.05%
按下载量换算156

Claude

28.31%
按下载量换算126

Cursor

18.72%
按下载量换算83

Gemini CLI

9.45%
按下载量换算42

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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