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Skill1.9k estrellas del repoactualizado 5d ago

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.

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git clone --depth 1 https://github.com/shiwenwen/hope-agent /tmp/ha-test-strategy && cp -r /tmp/ha-test-strategy/skills/ha-test-strategy ~/.claude/skills/ha-test-strategy
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SKILL.md

# 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."
code-reviewSkill

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email-draftSkill

Use when the user asks to draft, polish, translate, or reply to an email. Produces a clean draft with subject line, greeting, body, and sign-off, plus a pre-send self-check.

feishuSkill

Use when the user mentions 飞书 / Feishu / Lark workspace operations: docx (云文档) read/write, bitable (多维表格) records / views / dashboards, drive (云盘) upload/download, wiki (知识库) link resolution, approval (审批) instance create/cancel/query, calendar (日历) event create/list/update + attendees, contact (联系人) user/department lookup, hire (招聘) job/talent/application listing. Trigger on phrases like 'OKR 周报', '把这份文档发到飞书云盘', '给团队拉个评审会议', '查 [姓名] 的联系方式', '撤销那条审批', '/wiki 链接', or any request that mentions a feishu / lark URL / token (doxcn.../bascn.../wikcn.../boxcn.../om_...).

ha-browserSkill

Hope Agent browser automation — the standard `status → tabs → snapshot → act` loop, stale-ref recovery rules, and what to do when login / 2FA / captcha / camera-prompt / dialog blocks progress. Load this skill whenever you reach for the `browser` tool. Trigger on: user asks the agent to open / control / click / scrape / log into / verify something in a web app ('open X and click Y', '打开 X 然后点击 Y', 'log into my Gmail', 'scrape this page', 'fill out the form on X'); user reports a flow that requires real browser context (cookies, JS-rendered content, OAuth).

ha-code-reviewSkill

Hope-native review of uncommitted, staged, commit, branch, or PR changes: discover concrete regressions, independently verify candidates, and report actionable findings first without speculative noise.

ha-coding-commonSkill

Hope-native baseline for implementing, fixing, refactoring, and maintaining code: inspect the repository first, protect user changes, keep scope narrow, and finish with direct evidence.

ha-coding-planSkill

Hope-native implementation planning for non-trivial code changes: ground the plan in repository evidence, order dependencies, name critical files and risks, define verification, then continue execution when allowed.

ha-data-analyticsSkill

Hope-native local-first data analysis and Artifact reporting. Use for CSV/XLSX analysis, KPI readouts, metric diagnosis, product/business analysis, data-quality review, dashboards, charts, analytical reports, 数据分析, 指标诊断, 数据质量, 分析报告, or when the user wants a shareable offline HTML/ZIP/Markdown/PDF result. Produces the versioned AnalysisArtifactV1 contract and registers it with the artifact tool; never guesses missing data or requires public web deployment.