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test

Use when the user wants to know if something works — the answer requires running code, not analyzing it. Output is a verdict backed by evidence: passed, failed, or broken. Primary triggers: 'run the tests', 'does X still work after my change?', 'did the merge break anything?', 'verify the fix worked', 'check if the endpoint returns X', 'confirm nothing regressed', 'run tests/unit/test_foo.py', 'let me know the results', 'make sure my changes didn't break anything'. Hard stops — do NOT use for: reviewing test code for quality/coverage gaps, debugging why test infrastructure/databases/seed scripts are misbehaving, writing or fixing tests, diagnosing root causes of unexpected behavior. The deciding question: is the user asking for the result of executing something, or asking for help understanding/analyzing/improving something? If it's the latter, use diagnose or review-code instead.

インストール方法を見る

含まれるファイル(5)

  • SKILL.md6.7 KB
  • references/backend-verification.md2.8 KB
  • references/frontend-verification.md3.8 KB
  • references/regression-strategy.md3.4 KB
  • teammate.md3.3 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Route fast

SituationSteps
run tests or a specific test path3 → 5 → 6
The verification claim is already clear from the request or recent context4 → 5 → 6
Behavioral claim but no tests exist1 → 4 manual path → 5 → 6
Vague claim or broad changeFull flow

Skip steps whose answers are already known from the conversation.

Flow

1. Define the claim

Figure out what must be true before running anything.

Possible sources:

  • explicit argument
  • stated request or acceptance criteria
  • recent conversation
  • recent diff or git status as fallback

Good claim: expired tokens return 401. Bad claim: the app works.

If the claim is mushy, sharpen it before you touch the tools. Weak claims create noisy verification.

2. Scope only when needed

Skip if the claim is already scoped.

Use the change set to identify:

  • deliverables — what must hold true
  • coverage — what existing tests or manual checks could prove each deliverable
  • blast radius — what nearby behavior could regress

For shared code, config, auth, schema, or similar cross-cutting changes, read references/regression-strategy.md before deciding how wide to test.

3. Find the project's real test entrypoints

Check in this order:

  1. CLAUDE.md
  2. package.json, Makefile, justfile, Taskfile
  3. CI config
  4. test framework config
  5. existing test layout

Prefer project-defined commands over raw framework commands.

4. Choose the proof lane

Match the claim to the execution lane.

Claim typeLane
logic, transforms, business rulesdirect tests
API behavior or contractsbackend verification
UI behavior or renderingfrontend verification
visual UI criteriafrontend visual verification
DB persistencebackend verification
CLI behaviordirect command verification
type or schema correctnessdirect static verification
compile/build correctnessdirect static/build verification

Once you've picked a lane, read the relevant reference before executing. Let the reference own the execution details.

Reference map

  • references/backend-verification.md — API, DB, services, and background jobs
  • references/frontend-verification.md — browser, component, and visual verification
  • references/regression-strategy.md — how wide to test once the main claim is proven

The right method is the one that can disprove the claim fastest without pretending to offer more confidence than it really does.

If no relevant tests exist, use a manual path instead of calling the result inconclusive. Follow the selected lane's reference rather than rebuilding the checklist inline.

For command-line claims, run the command and inspect output directly.

Keep these guardrails in mind:

  • once a lane is chosen, follow its reference instead of rebuilding the same checklist inline
  • keep verification outcome-first: prove the user-visible or system-visible result, not just an intermediate action
  • when regression is warranted, widen in rings: direct dependents → feature area → full suite

Only use INCONCLUSIVE when neither an automated path nor a manual path is feasible.

5. Pre-flight and execute

Before running verification, confirm required infra is already available. If a server, DB, queue worker, mock service, or migration is needed and not running, stop and tell the user the exact command to start it. Do not start it yourself.

When you run verification, capture evidence:

  • exact command
  • exit code
  • relevant output
  • non-zero test count when a suite was run
  • warnings, skipped tests, and flaky behavior that matter to the claim

Start with the most direct proof. Expand into broader regression only when the blast radius justifies it.

6. Report

Use this structure:

## Verification Report

**Claim**: {what was tested}
**Verdict**: CONFIRMED | REFUTED | PARTIAL | INCONCLUSIVE

### Evidence
- {command}: exit {code} — proves or refutes {deliverable}

### Failures
- {test or command}: {error snippet} — {what it means}

### Gaps
- {deliverable or regression area still unverified}

### Suite Stats
Total: X | Passed: X | Failed: X | Skipped: X | Duration: Xs
Coverage: Lines X% | Branches X% (if available)

Use these verdicts consistently:

  • CONFIRMED — every deliverable has passing evidence
  • REFUTED — at least one deliverable failed with clear evidence
  • PARTIAL — some deliverables are proven, others remain unverified
  • INCONCLUSIVE — verification was blocked by missing infra, environment issues, or unavailable access

Common verification situations

Bug-fix verification

Prove the original failure no longer reproduces and check one regression ring around the changed area.

Feature verification

Prove the stated acceptance criteria and include type-check evidence when that meaningfully covers changed contracts.

Standalone verification

Take the claim from the argument or, if needed, infer it from recent changes.

Rules

  • Run and report only. Do not fix failures.
  • A passing suite is not proof if it never exercised the claim.
  • Coverage gaps stay in the report even when existing tests pass.
  • Flaky behavior and pre-existing failures are findings, not noise.
  • If a lane points to a reference, read it before improvising tactics.
  • Temporary, verification-only app changes are allowed when they make the proof materially better and the app is ours to edit. Keep them minimal, use them to verify the claim, then remove them before reporting.
  • Do not leave verification hooks behind unless the user asked for a durable selector as part of the product change.
  • Never start dev servers, databases, builds, or migrations yourself.

Verification Target

<target>$ARGUMENTS</target>

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

日本語の概要は準備中です。原文の説明を表示しています。

avibebuilder/claude-prime1202026年5月17日 更新

ask

無料

Answer questions about code, architecture, and technical decisions — no implementation. Trigger on questions asking 'why', 'what does this do', 'what is the purpose of', 'explain', 'what's the difference', 'compare', or 'what are the tradeoffs' — even when referencing specific files, code snippets, or inline code. The key signal is the user wants to UNDERSTAND something, not change it. Do NOT trigger for requests to build, fix, plan, review, research, or add/modify code.

日本語の概要は準備中です。原文の説明を表示しています。

avibebuilder/claude-prime1202026年5月17日 更新

Use this skill for any Python backend work in this project: building FastAPI endpoints, writing service functions, defining Pydantic/SQLModel schemas, running Alembic migrations, or debugging 422 errors. Essential for authentication and authorization patterns — setting up get_current_user, is_superuser checks, admin-only guards, role-based access, and dependency injection chains like Depends(). Also covers middleware, background tasks, async SQLAlchemy sessions, ORM relationship loading, and request/response design. Activate whenever the question involves Python API code, FastAPI patterns, or backend architecture in this codebase. Not for frontend, Docker, CI/CD, or infrastructure.

日本語の概要は準備中です。原文の説明を表示しています。

avibebuilder/claude-prime1202026年5月17日 更新

cook

無料

Implement, build, create, or add any feature, endpoint, page, component, or functionality. Use this skill whenever the user asks you to write new code or make code changes — whether it's adding an API endpoint, building a UI page, creating an export feature, wiring up a webhook, implementing a search/filter, or any other hands-on coding task. This is the default skill for all 'build this', 'add this', 'create this', 'wire up', 'implement' requests. Covers the full cycle: clarify requirements, plan if needed, write code, verify, and review. Do NOT use for pure research, debugging, documentation, or explanation — only when the user wants working code delivered.

日本語の概要は準備中です。原文の説明を表示しています。

avibebuilder/claude-prime1202026年5月17日 更新

Use when the user wants to save knowledge as a file so others don't have to rediscover it — "turn this into a doc", "write this up", "document how X works", "we figured this out and want to capture it", "nobody should have to figure this out again". Covers any request to create or update durable written artifacts: onboarding guides, runbooks, ADRs, API docs, architecture notes, postmortems, changelogs, setup guides. The trigger: user wants knowledge captured in a file for future reference, not just a conversation. Do NOT use when still making decisions (→ give-plan), just asking for explanation without a file (→ ask), or writing code (→ cook).

日本語の概要は準備中です。原文の説明を表示しています。

avibebuilder/claude-prime1202026年5月17日 更新

diagnose

無料

Investigate unexpected behavior and mysterious bugs. Use when the cause of a problem is unknown and the user needs to understand WHY something is happening — symptoms like: sudden unexplained changes in metrics or behavior, works locally but not in staging/production, inconsistent or intermittent failures, correct code producing wrong results, operations succeeding but having no effect, environment-specific failures, duplicate executions, stale data, or any "why did this change?" or "why is this happening?" situation. Covers infrastructure anomalies (cache hit rates dropping, latency spikes, queue behavior shifts) as well as code bugs. The key signal is confusion about root cause, not a request to implement a known fix. Do NOT use for feature requests, known fixes, planning, or documentation tasks.

日本語の概要は準備中です。原文の説明を表示しています。

avibebuilder/claude-prime1202026年5月17日 更新

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