「ui」の検索結果

Unit and integration testing strategy for create-vue-dsfr. Use for writing, updating, or refactoring Vitest specs and test coverage. Read the shared project skill before acting.

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。

Code implementation, refactoring, and bugfixes for create-vue-dsfr. Use for implementing features, refactoring code, or fixing bugs. Read the shared project skill before acting.

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 FIRST when someone asks for a new feature or a change to an existing one — before any schema, code or test. Works out what is actually being asked for, whether to build it or integrate a third party (Trustpilot, Stripe, Calendly and the like), where the data lives, who may do what, and what happens when the vendor is down. Produces a decision, then hands to feature-schema.

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 after building a feature — explore it in a real browser to find what nobody predicted, then turn each finding into a deterministic test that guards it forever. Covers the agentic pass, what to generate vs hand-write, and how to skip honestly when a capability is missing.

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。

Retroactively audit and fill Nyquist validation gaps for a completed phase

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。

Validate built features through conversational UAT

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。

Retroactive 6-pillar visual audit of implemented frontend 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。

Display project statistics — phases, plans, requirements, git metrics, and timeline

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。

Start a new milestone cycle — update PROJECT.md and route to requirements

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。

Show available GSD commands and usage guide

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, query, and inspect the project knowledge graph in .planning/graphs/

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。

Gather phase context through adaptive questioning before planning. Use --auto to skip interactive questions (the agent picks recommended defaults). Use --chain for interactive discuss followed by automatic plan+execute. Use --power for bulk question generation into a file-based UI (answer at your own pace).

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。

Detect and exploit race condition vulnerabilities in web applications using Turbo Intruder's single-packet attack technique to bypass rate limits, duplicate transactions, and exploit time-of-check-to-time-of-use flaws.

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。

Identifying and exploiting SSRF vulnerabilities to access internal services, cloud metadata, and restricted network resources during authorized penetration 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。

Testing WebSocket implementations for authentication bypass, cross-site hijacking, injection attacks, and insecure message handling during authorized security assessments.

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。

Tests APIs for excessive data exposure where endpoints return more data than the client application needs, relying on the frontend to filter sensitive fields. The tester intercepts API responses and analyzes them for leaked PII, internal identifiers, debug information, or sensitive business data that the UI does not display but the API transmits. This maps to OWASP API3:2023 Broken Object Property Level Authorization. Activates for requests involving API data leakage testing, excessive data exposure, response filtering bypass, or API over-fetching.

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。

Detecting and exploiting HTTP request smuggling vulnerabilities caused by Content-Length and Transfer-Encoding parsing discrepancies between front-end and back-end servers.

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。

Identifies and exploits insecure local data storage vulnerabilities in Android and iOS mobile applications including unencrypted databases, world-readable files, insecure SharedPreferences, plaintext credential storage, and improper keychain/keystore usage. Use when performing mobile penetration testing focused on OWASP M9 (Insecure Data Storage) or assessing compliance with MASVS-STORAGE requirements. Activates for requests involving mobile data storage security, local storage exploitation, SharedPreferences analysis, or mobile data leakage assessment.

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。

Identifying and exploiting Insecure Direct Object Reference vulnerabilities to access unauthorized resources by manipulating object identifiers in API requests and URLs.

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。

Executes authorized phishing simulation campaigns to assess an organization's susceptibility to email-based social engineering attacks. The tester designs realistic phishing scenarios, builds credential harvesting infrastructure, sends targeted phishing emails, and tracks open rates, click-through rates, and credential submission rates to measure human security awareness. Activates for requests involving phishing simulation, social engineering assessment, email security testing, or security awareness measurement.

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。

Scans GitHub Actions workflows and CI/CD pipeline configurations for supply chain attack vectors including unpinned actions, script injection via expressions, dependency confusion, and secrets exposure. Uses PyGithub and YAML parsing for automated audit. Use when hardening CI/CD pipelines or investigating compromised build systems.

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。

Detect abuse of elevation control mechanisms including UAC bypass, sudo exploitation, and setuid/setgid manipulation by monitoring registry modifications, process elevation flags, and unusual parent-child process relationships.

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。

Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.

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。

Detects fileless malware and in-memory attacks that execute entirely in RAM without writing persistent files to disk, evading traditional antivirus. Use when building detections for PowerShell-based attacks, reflective DLL injection, WMI persistence, and registry-resident malware. Activates for requests involving fileless malware detection, in-memory attacks, PowerShell exploitation, or living-off-the-land techniques.

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。