「テスト」の検索結果

Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory (moving files to references/ or scripts/, removing stale content, validating against the AgentSkills spec). Triggers on phrases like "create a skill", "author a skill", "tidy up a skill", "improve this skill", "review the skill", "clean up the skill", "audit the skill".

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。

Multi-language test infrastructure for the Pump SDK — Rust unit/integration/security/performance tests, TypeScript Jest tests, Python fuzz tests, shell test orchestration, Criterion benchmarks, and CI quality gates.

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。

Production-quality Bash scripts for Solana vanity generation, keypair verification, batch operations, dependency auditing, and test orchestration — with security-hardened patterns including file permissions, input validation, and cleanup traps.

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。

Defense-in-depth security across Rust, TypeScript, and Bash for the Pump SDK — cryptographic key handling, memory zeroization, secure file I/O, input validation, privilege management, dependency auditing, and a 60+ item security checklist.

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。

Computer Use Agent — autonomous browser control via Steel, Browser Use, and Browserbase cloud providers. Supports headful CDP sessions, CAPTCHA solving, proxy rotation, live view, session recording/replay, Playwright/Puppeteer integration, and LLM-driven visual browsing. Use when asked about computer use, browser automation, web scraping, Steel sessions, cloud browsers, headful browsing, CAPTCHA solving, or autonomous web navigation.

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。

E2B Desktop Sandbox with autonomous computer use — cloud Linux environments for browser automation, visual UI grounding, screenshot analysis, and shell execution. Supports Browser Use cloud sessions, Playwright integration, and LLM-driven desktop control. Use when asked about sandboxes, computer use, browser automation, E2B, desktop control, visual testing, or cloud Linux environments.

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。

Playwright-powered browser automation and E2E testing for SolanaOS Hub. Covers test configuration, agent-driven test generation (planner/generator/healer), NanoHub route testing, Convex API validation, wallet flow testing, IPFS Hub verification, and CI/CD integration. Use when asked about E2E tests, browser automation, Playwright setup, NanoHub testing, visual regression, or Hub route verification.

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。

Audit the project's documentation (CLAUDE.md, .claude/rules, skills, README, CONTRIBUTING, SECURITY, .env.example, app/data/*.md, learn articles) against the actual code and config, and fix drift. Use after refactors, dependency or workflow changes, or on a schedule.

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。

Periodic repository health check — install, full validation, unused-code scan, outdated/vulnerable dependencies, and docs drift — ending in a concise report and, when there are safe fixes, a single PR. Designed to run unattended from a scheduled routine; also usable on demand.

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。

Build, start, and drive the Nuxt Theme Builder in a real browser (Playwright) to verify a change end to end — editor interactions, iframe preview sync, persistence across reloads, source view. Use when asked to run/start/screenshot the app or to prove a UI or persistence change works beyond unit tests.

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。

Use when editing .vue files, creating Vue 3 components, writing composables, or testing Vue code - provides Composition API patterns, props/emits best practices, VueUse integration, and reactive destructuring guidance

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。

Use when writing unit/integration tests for Vite projects - provides Vitest configuration, test APIs, mocking patterns, and coverage setup

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。

HTCMC PCHSystem 专用 skill——指导如何在 git worktree 中正确启动/迁移开发栈 （根 docker-compose 的 postgres+backend、TestServer 的 mc-test、前端 Vite dev）。 PCHSystem 的栈路径锚定主仓（bind mount / external 网络 / MCDR 挂载 / 根 .env 插值）， worktree 的目录隔离与之天然冲突，常踩「端口对不上 / token 对不上 / 配置在别的分支」三类坑。 本 skill 给出按「worktree 改了什么」选择的迁移策略 + 端口/token/网络对齐清单 + 红线陷阱。 当用户在 worktree 里要起栈测试、提到「worktree 跑后端/前端/mc-test」「worktree 端口冲突」 「token 对不上 / 401」「主仓有 WIP 没法 checkout 分支」「MCDR reload 看不到 worktree 改动」， 或要在 worktree 改了 Dockerfile / pyproject / 端口 / .env 后验证时，就应使用本 skill。 不用：纯文档或单文件编辑、不涉及运行栈的常规开发、或仅在主仓主线本地开发（不起 worktree）。

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。

Standalone security audit of a feature or file set: severity-ranked findings and remediation 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。

Hostile, WordPress-specialized QA audit: severity-ranked findings, never a fix. Use for an adversarial audit.

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。

- Check and interpret data-breach exposure for an email, username, phone or name using Have I Been Pwned, the Pwned Passwords k-anonymity range API, DeHashed, IntelX and Snusbase. Use when checking breach or leak exposure, finding which services an account was registered with, interpreting a combolist or credential dump, assessing credential compromise, or auditing your own leaked personal data

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。

Quality gate immediately after building: prove that what was just built actually works, while the context is still hot. Six steps: scope what changed, run live on real data, break it on purpose, show a counter or log proving it ran, root-cause any failure and re-run, then a verdict with evidence. Only a green verdict earns the word done. Supports an external multi-vendor review panel as a mid-step. Triggers: "/tt", "/test", "prove it works", "test what we built".

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。

Self-test both Telegram rails on this machine, the MCP connector and the userbot library, with a deterministic zero-token detector plus a real in-session MCP probe, and print a per-rail verdict with the exact fix for whichever is down. Triggers: "/tg-check", "are both tg rails up", "check telegram channels".

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。

Get a second opinion from an external LLM at three checkpoints: T1 is the plan valid, T2 which path at a fork, T3 finish plus a QA breaker that tries to break the result. One structured move per exchange (PROPOSE, COUNTER, VERIFY, ACCEPT, BLOCK) with memory across turns, and every exchange mirrored into a human-visible channel. Supports a multi-vendor panel instead of a single reviewer. Triggers: "/secondop", "get a second opinion", "run the review panel".

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。

Audit recent agent work for recurring manual patterns that have no skill yet, cross-check against installed skills and public skill catalogs (installing beats building), and propose the top two or three as before/after. Read-only analysis. Triggers: "/skill-gap", "what skills should I build", "audit my skills".

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。

Audit and cut the cost of a machine's scheduled routines: measure tokens per run, pick a lever (cheaper model, split, lower frequency, shorter prefix, retire) and prove the saving with a before-and-after measurement. Use when background routines burn more than interactive work. Triggers: /routine-opt, /ropt, routine audit, cheaper routines.

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。

Review content quality before anything is shown or sent (vault notes, outgoing drafts, dedup merges, service files) and return an explicit pass, fail or manual-review verdict. The counterpart of a post-build test gate: that one asks whether the build works, this one whether the writing is fit to show. Triggers: "/taste-check <path|text>", "/taste", "check this note".

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。

Review someone else's pull request by measuring which of its own guards its own test suite actually catches, via a small mutation matrix. Use when reviewing a PR, checking whether a regression test is real, or asked 'is this change actually tested?', 'does this test do anything', 'mutation test this'.

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。

Audits a website codebase and makes code changes so AI engines (ChatGPT, Claude, Perplexity, Google AI Overviews) can better discover, parse, quote, and cite the site. Covers structured data, content structure, technical signals, and freshness.

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。