Skip to content
Automation
Skill

/ha-test-strategy

Hope-native test strategy for features, fixes, and refactors: select test-first, regression-first, characterization, integration, E2E, or manual evidence according to risk and repository rules.

From plugin
hope-agent
1.9k30 skills

Claude Code

$ npx -y skills add shiwenwen/hope-agent --skill ha-test-strategy --agent claude-code

SKILL.md

ha-test-strategy.SKILL.md
name: ha-test-strategy
description: "Hope-native test strategy for features, fixes, and refactors: select test-first, regression-first, characterization, integration, E2E, or manual evidence according to risk and repository rules."
paths: ["*.rs", "*.ts", "*.tsx", "*.js", "*.jsx", "*.py", "*.go", "*.java", "*.kt", "*.swift", "*.c", "*.cpp", "*.h", "*.rb", "*.php", "*.sh"]

Hope Test Strategy

Choose tests that reduce uncertainty about the requested behavior. Test-first is a valuable technique, not an unconditional law.

Precedence

Follow the user's request and repository instructions. Do not run broad suites, install dependencies, or rewrite test infrastructure when the project forbids or does not require it.

Select The Strategy

Test-first

Prefer a failing test before implementation when the new contract is clear, the test seam is stable, and observing the failure proves the test is meaningful.

Regression-first

For a bug, reproduce the original failure in the narrowest credible automated test before or alongside the fix. Confirm it fails for the right reason, then passes after the root-cause change.

Characterization-first

For legacy, poorly documented, or risky refactors, capture current intentional behavior before changing structure. Do not freeze a known bug as desired behavior.

Implementation-first with immediate coverage

Reasonable for exploratory seams, generated code, mechanical migrations, or UI work where the correct test boundary becomes clear only after a small reversible implementation. Add the relevant proof before claiming completion.

No new automated test

Reasonable for pure docs, trivial metadata, generated outputs, or low-risk mechanical changes when existing checks directly cover the risk. Explain the decision rather than adding a meaningless test.

Choose The Layer

  • Unit: pure logic, state transition, parser, policy, or failure classification.
  • Integration: persistence, adapter, protocol, or cross-module contract.
  • E2E: a user-critical path that only becomes true across the full stack.
  • Manual smoke: visual layout, OS integration, credentials, or external state

that cannot be honestly simulated.

Use the lowest layer that proves the contract. Add a higher layer only for a boundary the lower layer cannot cover.

Test Quality

  • Assert observable behavior, not incidental implementation details.
  • Keep fixtures deterministic and failures diagnostic.
  • Cover the demonstrated edge, including cancellation, retry, stale state, or

partial failure when relevant.

  • Avoid mocks that erase the boundary being tested.
  • Do not weaken existing assertions merely to make a change pass.

Execute Efficiently

1. Run the narrowest new or failing test. 2. Run the nearest affected suite when justified. 3. Use `ha-verify` to decide whether broader gates are needed at closeout.

If a test is flaky or environment-blocked, investigate the cause. Do not rerun until green and call that proof.

Smoke Prompts

  • "Choose and add the right regression test for this bug."
  • "Refactor this legacy parser without freezing the broken behavior."
  • "Decide whether this UI change needs unit, E2E, or manual evidence."
Read more
@shiwenwen
Ships withhope-agent

🦭 A cross-device desktop AI agent with memory, autonomous goals, dynamic workflows, and headless deployment | 会记忆、能持续推进目标、会动态编排多 Agent 的跨端桌面 AI 助手,也可服务化常驻 NAS / 云端

Stars on GitHub

Momentum

stars in total
1.9k
Star history of shiwenwen/hope-agent on GitHub, a chart by star-history.com

Other skills on hope-agent.

email-draft

email-draft

Use when the user asks to draft, polish, translate, or reply to an email. Produces a clean draft with subject line, greeting,…

feishu

feishu

Use when the user mentions 飞书 / Feishu / Lark workspace operations: docx (云文档) read/write, bitable (多维表格) records / views /…

ha-browser

ha-browser

Hope Agent browser automation — the standard `status → tabs → snapshot → act` loop, stale-ref recovery rules, and what to do when…

ha-code-review

ha-code-review

Hope-native review of uncommitted, staged, commit, branch, or PR changes: discover concrete regressions, independently verify…

ha-coding-common

ha-coding-common

Hope-native baseline for implementing, fixing, refactoring, and maintaining code: inspect the repository first, protect user…

ha-coding-plan

ha-coding-plan

Hope-native implementation planning for non-trivial code changes: ground the plan in repository evidence, order dependencies,…

More skills from other plugins.

agent-builder

agent-builder

Load immediately after an Agent intent, before the first agent_builder_* call. Governs how you create, configure, test, and…

n8n13d209k
@n8n-io@n8n-ioInstall Skill
browser-use

browser-use

Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…

@browser-use@browser-useInstall Skill
agent-browser

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…

@vercel-labs-2@vercel-labs-2Install Skill
add-anydoc

add-anydoc

Add local office-document-to-Markdown conversion to NanoClaw agent containers with the pinned Firecrawl AnyDoc CLI. Use when…

@nanocoai@nanocoaiInstall Skill

Questions about ha-test-strategy.

Which coding agents can use ha-test-strategy?
ha-test-strategy installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.