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概要と使いどころ

Extract endpoints, secrets, and hidden routes from JavaScript files using LinkFinder, SecretFinder, JSluice, and source-map analysis. Use when the user has live hosts and needs to mine the JS for attack surface that's not visible in the UI.

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。

0xGhostCAT/claude-ai-cyber-security-skills442026年6月3日 更新

Hunt OAuth 2.0 and OIDC flaws — redirect_uri abuse, state CSRF, PKCE bypass, scope manipulation, implicit-flow token theft, postMessage origin tricks, ID token sub claim swap, JWKS confusion, response_type confusion, and OAuth-CSRF. Use when an app has Google/GitHub/Facebook/Apple/custom OAuth or OpenID Connect.

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。

0xGhostCAT/claude-ai-cyber-security-skills442026年6月3日 更新

PostgreSQL database agent: deploy locally (Docker/K8s), manage schemas, run queries, analyze performance, configure permissions, and seed 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。

LiorCohen/sdd432026年2月24日 更新

Audit Claude Code session logs (~/.claude/projects) for token waste and produce a ranked, attributed efficiency report (habit / skill_file / config). Use when the user asks to audit session efficiency, analyze token waste or cost blowups, review Claude Code usage cost, or asks "where are my tokens going".

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。

foyzulkarim/skills432026年9月4日 更新

Forecast infrastructure and application metrics using Prophet or statsmodels for capacity planning, cost optimization, and proactive scaling. Visualize predictions in Grafana and set up alerts for projected resource exhaustion. Use when forecasting infrastructure capacity needs for CPU, memory, or disk, planning hardware procurement for next quarter, predicting cost trends to optimize cloud spending, or setting up proactive scaling policies based on predicted load.

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。

pjt222/agent-almanac422026年10月15日 更新

Work with the full set of Maxwell's equations in integral and differential form to analyze electromagnetic fields, waves, and energy transport. Use when applying Gauss's law, Faraday's law, or the Ampere-Maxwell law to boundary value problems, deriving the electromagnetic wave equation, computing Poynting vector and radiation pressure, solving for fields at material interfaces, or connecting electrostatics and magnetostatics to the unified electromagnetic framework.

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。

pjt222/agent-almanac422026年10月15日 更新

Deploy a self-hosted SearXNG meta search engine via Docker Compose. Covers settings.yml configuration, engine selection, result proxying, Nginx frontend, persistence, and updates. Use when setting up a private search engine without tracking, aggregating results from multiple providers, running a shared search instance for a team or organisation, or replacing reliance on a single search provider.

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。

pjt222/agent-almanac422026年10月15日 更新

Select a `delaySeconds` value when scheduling a loop wakeup via the `ScheduleWakeup` tool or the `/loop` slash command. Covers the three-tier cache-aware decision (cache-warm under 5 minutes, cache-miss 5 minutes to 1 hour, idle default 20 to 30 minutes), the 300-second anti-pattern, the [60, 3600] runtime clamp, the minute-boundary rounding quirk, and writing a telemetry-worthy `reason` field. Use when designing an autonomous loop, when a heartbeat cadence is being planned, when polling cadence is being tuned, or when post-hoc review of loop costs reveals interval mis-sizing.

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。

pjt222/agent-almanac422026年10月15日 更新

Configure Kubernetes Ingress networking with NGINX Ingress Controller, cert-manager for automated TLS certificate management, path-based routing, rate limiting, and multi-domain hosting with SSL termination and load balancing. Use when exposing multiple Kubernetes services via a single load balancer, implementing path-based or host-based routing, automating TLS certificate issuance with Let's Encrypt, or setting up blue-green and canary deployments with traffic splitting.

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。

pjt222/agent-almanac422026年10月15日 更新

Read-only audit of a GitHub repository's security posture. Gathers ref protection (rulesets AND classic branch protection), Actions token permissions, code and supply-chain features (Dependabot, secret scanning, push protection, CodeQL), and repo hygiene toggles via `gh api`, then classifies findings against essential / recommended / advanced tiers into a PASS/GAP report. Makes NO changes. Use when reviewing a repo before open-sourcing or a release, auditing a public user-owned repo whose CI auto-commits to the default branch, verifying a hardening change actually took effect, or producing a baseline security posture report for a repository.

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。

pjt222/agent-almanac422026年10月15日 更新

Search and read public Reddit posts, subreddits, and comments via the unauthenticated JSON API. Safe read-only access with SSRF-prevention hostname allowlist.

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。

oimiragieo/agent-studio422026年7月14日 更新

Compiler-level code intelligence via native LSP — definitions, references, types, call hierarchies, and diagnostics.

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。

oimiragieo/agent-studio422026年7月14日 更新

Use when analyzing published content (blog posts, social media, newsletters) for sentiment, structural quality, hook effectiveness, readability, topic classification, and engagement correlation. Invoke for daily post analysis, content audits, or engagement driver identification.

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。

oimiragieo/agent-studio422026年7月14日 更新

API security testing and validation for REST/GraphQL/gRPC endpoints, contract testing, load testing, fuzzing, and Postman/Bruno/Hurl workflows

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。

oimiragieo/agent-studio422026年7月14日 更新

Decide whether a protein has a pocket worth targeting, and where it is, before committing to a docking or design campaign. Use this skill to run fpocket cavity detection, rank cavities by druggability and volume, compare apo and holo conformations to spot induced fit, identify allosteric and cryptic cavities that only open in simulation, and convert a chosen cavity into the search box coordinates a docking run needs. Also trigger on fpocket, cavity detection, druggability score, alpha sphere, cryptic pocket, allosteric site, pocket volume, hotspot mapping, or undruggable target 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。

K-Dense-AI/drug-discovery-agent-skills422026年10月12日 更新

Manage Backblaze B2 cloud storage. List files, audit usage, estimate cost, clean up stale data, review security posture, and manage lifecycle rules. Use when the user mentions B2, Backblaze, object storage buckets, or storage cleanup.

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。

backblaze-labs/claude-skill-b2-cloud-storage422026年10月15日 更新

kb-agent-webapp-cdk

無料日本語概要

AIエージェントのWebアプリを「AWS CDK(デプロイはCDKD)+ S3 + CloudFront + AgentCore Runtime」で組むときの全体構成。画面は S3 から静的に配信し、サーバー側の処理が要るときだけ Lambda Web Adapter(または Lambda Web Functions)を足す判断基準。スタックの分け方、BucketDeployment での配置とキャッシュ指定、SPA の振り分け、runtime-config.json で環境値を渡す型、Lambda を足すときの Function URL と CloudFront OAC の権限、フロントから AgentCore を直接呼ぶ配線、ローカル開発、デプロイ前後の検証。新しくエージェントのWebアプリを作るとき、Amplify Hosting 以外の配信基盤を選ぶとき、画面の配信に Lambda が要るか迷ったとき、CloudFront 経由の Function URL が 403 になるときに読む。

minorun365/agent-builder-skills412026年10月14日 更新

Generate 20,000+ particle swarm simulators in two modes: sandbox (complete Three.js host runtime with gesture controls, security validation, code injection pipeline) and sim (behavior function bodies that position/color particles via a sandboxed API). The AI writes ONLY a function body — the host handles rendering, input, and security. Triggers on particle swarm, swarm simulator, particle behavior, swarm sandbox, gesture particles, 20K particles, particle function body, swarm sim, particle playground.

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。

tdimino/claude-code-minoan412026年10月16日 更新

Report ground-truth Claude token consumption and estimated cost by parsing JSONL session files directly. Use when checking API spend, auditing token usage by project/session/model, generating daily/weekly/monthly cost reports, or diagnosing ccusage undercounting. Includes subagent files that ccusage ignores.

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。

tdimino/claude-code-minoan412026年10月16日 更新

Query OpenRouter API costs, credits, and usage breakdown by model, provider, and date for the last 30 days. Triggers on API spending, check costs, openrouter usage, how much have I spent.

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。

tdimino/claude-code-minoan412026年10月16日 更新

Find and score legitimate external authority and backlink opportunities as a dry-run register, using relevance, platform rules, risk, target-page fit, and explicit user approval gates. Use this skill when the user asks where links to a target site could be placed effectively, but never post, submit, DM, email, open PRs, or edit external accounts without separate explicit approval.

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。

sergekostenchuk/seo-llm-skill-cluster402026年6月12日 更新

Review public site content for editorial quality, source support, prompt residue, duplicate blocks, translation drift, hidden filler, and human usefulness before SEO or LLM-friendly publication. Use this skill when the user asks to quality-gate news briefs, longform explainers, blog posts, topic pages, project pages, translated content, or generated article drafts without changing the live publishing pipeline.

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。

sergekostenchuk/seo-llm-skill-cluster402026年6月12日 更新

Evaluates whether work-in-design is ready to hand off from a chat design conversation to autonomous execution (Claude Code, n8n, agent runtime). Runs a 7-condition gate: spec stability, verification surface, invariants, pump-primer, work decomposition, rollback cost, token budget headroom. Three invocation modes — deliberate (caller provides work_context, returns JSON verdict), proactive sensing (Claude detects handoff signals in design conversation and offers the check), conversational walkthrough (Claude walks the 7 conditions as discussion topics). Returns structured JSON in all modes. Use when designing a Claude Code deployment, scoping an autonomous run, or deciding next move. Trigger on: "ready to hand off," "ready for execution," "is this CC-ready," "handoff check," "walk me through readiness," "are we ready to ship this," "should I just hand this off," or proactive detection. Do NOT use for evaluating completed work, runtime selection, or prompt quality. Profile-agnostic.

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。

drayline/rootnode-skills402026年9月14日 更新

Generalised autonomous optimisation loop — soft RLVR for any artifact a user can measure. Web runtime package: uses memory in this order: connector-backed, project-pack, none. Never assumes subprocess access or unrestricted local files. Use this skill whenever a user wants to iteratively improve an artifact — code, prompts, documents, configs, designs, content — by running structured experiments, evaluating results against a multi-dimensional rubric, and learning from each attempt. Triggers include: "optimise this", "keep improving until it's good", "run experiments on", "autoresearch", "iterate on this overnight", "try different approaches and pick the best", or any request implying repeated evaluate-and-improve cycles.

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。

chrisvoncsefalvay/autostar392026年4月10日 更新