「g-assist」の検索結果

Hardcoded-secret detection — AWS keys, GitHub PATs, Slack tokens, Stripe keys, generic high-entropy strings. Pre-commit (`--staged-only`), explicit paths, or full repo. Use when guarding `git commit`, auditing a repo for leaked credentials, validating no secrets entered the diff before push, or producing a rotation list for an exposed-secret incident.

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。

Generate CycloneDX 1.7 and/or SPDX 2.3 SBOMs for the repo, optionally cosign-signed, optionally cross-validated against syft output. Use when producing an SBOM for compliance, attaching to a release artefact, integrating with an SBOM registry, or satisfying a customer attestation request.

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。

Static application security testing (SAST) for changed source files — Vulnetix's built-in rule set plus optional Semgrep augmentation when `.semgrep` config is present. Use when reviewing a PR for code-level vulnerabilities, scanning a feature branch before merge, gating CI on critical findings, or running rule-specific checks for a known weakness class.

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。

Answer whether a specific advisory reaches anything in THIS repository — which manifest declares the package, at what version, whether the version is in range, and whether the vulnerable code is reachable. Use when someone asks "does CVE-… affect us", when triaging an advisory against a real codebase, or before spending effort on a fix.

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。

Package license analysis — detect copyleft conflicts against a permissive policy, surface AGPL / SSPL / GPL contaminants, output SPDX SBOM with per-package license findings. Use when auditing a release for license compliance, vetting a new dependency's license, building an OSS-attribution document, or producing a customer-facing license disclosure.

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。

Terraform / OpenTofu / Nix / k8s manifest misconfiguration detection — open security groups, missing encryption, public S3/GCS, IAM wildcards, plaintext secrets, missing tags. Use when reviewing an IaC PR, gating `terraform apply` / `tofu apply`, auditing existing state for drift, or building a compliance report for cloud configuration.

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。

Concrete remediation proposal with Safe Harbour confidence — version bump, inline as first-party code, patch, workaround, or advisory. Use when applying a fix for a triaged CVE, evaluating fix-type trade-offs across registry / source / distro patches, producing rollback-safe manifest edits with dry-run verification, or generating a CycloneDX SBOM after the fix lands.

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。

End-of-life detection for runtimes (Node, Python, Java, Go, .NET) and key packages — surfaces past-EOL items, items reaching EOL within 90 days, and EOL base images for containers. Use when planning a runtime upgrade, auditing for unsupported versions, gating a deploy against EOL deps, or producing a remediation roadmap.

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。

IDS/IPS detection content for a CVE — Snort/Suricata-compatible rules, YARA signatures, ProjectDiscovery Nuclei templates, traffic-filter rules. Capability-aware: skips families when the binary is not installed (no Snort = no Snort output). Use when deploying defences for a CVE without a patch, augmenting SAST with active detection, or feeding the SOC engineering pipeline.

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Work through which package to add for a capability, and what each option costs — maintenance, licence, bundle weight, transitive risk, and whether the platform already does it. Use when someone needs a library for a job and has not picked one yet, when weighing two candidates, or when a package looks convenient but unmaintained.

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。

Dependency-conflict resolution when a `fix` version bump fails — diagnose the peer-dep tree, find a compatible safe version set, propose package-manager overrides (`overrides`/`resolutions`/`replace`/`[patch]`), fall back to safe-harbour inline patching. Use when an upgrade is blocked by transitive constraints, a peer-dep conflict surfaces, or you need to override a vulnerable transitive without bumping the parent.

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。

Dockerfile / Containerfile / compose analysis plus optional Trivy / Grype / Syft composition when those binaries are present. Use when reviewing a Dockerfile PR, gating `docker build`, building an image SBOM, evaluating base-image risk, or auditing a registry image for CVEs.

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 what this repository has already decided about its vulnerabilities, read from the durable record rather than by scanning again — open versus resolved, the decision taken on each, and what is still waiting. Use when picking up triage after a break, auditing past decisions, onboarding to a repository with security history, or checking nothing high-severity is open before a release.

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 for explicit undergraduate data-science teaching, assignment guidance, concept clarification, method selection, or output interpretation. Do not activate merely because a task contains data or Python code.

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This skill should be used when the user asks to "このエラーを直して", "help me debug this", "fix this stack trace", "なぜこのエラーが出るの", "CI が落ちた", or pastes an error message or stack trace and wants help diagnosing it. Classifies the error type, identifies related files, and proposes up to three root-cause hypotheses with concrete fix plans.

直播辅助，弹幕管理 + 数据分析。

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。

INVOKE THIS SKILL when adding Arize AX tracing to an application. Follow the Agent-Assisted Tracing two-phase flow: analyze the codebase (read-only), then implement instrumentation after user confirmation. When the app uses LLM tool/function calling, add manual CHAIN + TOOL spans so traces show each tool's input and output. Leverages https://arize.com/docs/ax/alyx/tracing-assistant and https://arize.com/docs/PROMPT.md.

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Creates stable mocks for APIs, services, and UI components using MSW (Mock Service Worker), fixture conventions, and example patterns. Use for "API mocking", "MSW", "test mocks", or "service mocking".

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。

Orchestrates the end-to-end process of turning a resource into a learning material by delegating to resource-gatherer, syntax-interpreter, and study-builder.

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Research AI coding assistant products, audiences, user stories, social proof, hacks, and unmet needs for apps like Cursor, Claude Code, Codex, Warp Code, Devin, Windsurf, GitHub Copilot, Cline, Aider, and homegrown agent stacks. Use when designing or positioning agentic developer tools, Port Daddy Agent Harbor, swarm consoles, background coding agents, or competitive/product research for AI software engineering. NOT for implementing the coding agent runtime, generic market research, or UX mockups without developer workflow evidence.

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。