「serve」の検索結果

"Apply panel data analysis with fixed effects, random effects, and dynamic GMM to exploit longitudinal variation and control for unobserved heterogeneity. Use this skill when the user has repeated observations over time for multiple entities, needs to choose between FE and RE via Hausman test, or when they ask 'how do I control for firm-specific effects', 'fixed or random effects', or 'how to handle endogeneity in panels'.".

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。

"Apply Christensen's Disruptive Innovation theory to assess low-end and new-market threats to incumbents. Use this skill when the user needs to evaluate whether a new entrant poses a disruptive threat, analyze why incumbents fail against inferior-but-cheaper alternatives, or design a disruption strategy targeting overserved customers.".

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。

"Apply Bhaskar's critical realism to analyze phenomena through three ontological domains (real, actual, empirical), identify generative causal mechanisms via retroduction, and examine structure-agency interplay. Use this skill when the user needs to go beyond surface correlations to underlying causes, design research that distinguishes mechanisms from events from experiences, or when they ask 'what causes this beyond the observed pattern', 'what structures enable or constrain this behavior', or 'how do I move from correlation to causal explanation'.".

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。

"Apply action research through Plan-Act-Observe-Reflect cycles and Participatory Action Research (PAR) to generate knowledge while improving practice. Use this skill when the user needs to design practitioner research that integrates inquiry with intervention, facilitate participatory research with stakeholders, structure iterative improvement cycles, or when they ask 'how do I research my own practice', 'how do I involve participants as co-researchers', or 'how do I combine research with practical change'.".

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。

The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility. Use when exact v1 design-taste behavior is needed for frontend design work.

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。

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.

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。

"Apply Bayesian averaging to rank items by combining observed ratings with prior expectations. Use this skill when the user needs to rank items with varying review counts, build a 'top rated' list that handles low-sample items fairly, or implement IMDB-style weighted rating — even if they say 'weighted average rating', 'IMDB formula', or 'ranking with prior'.".

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。

Documentation reference for writing Python code using the browser-use open-source library. Use this skill whenever the user needs help with Agent, Browser, or Tools configuration, is writing code that imports from browser_use, asks about @sandbox deployment, supported LLM models, Actor API, custom tools, lifecycle hooks, MCP server setup, or monitoring/observability with Laminar or OpenLIT. Also trigger for questions about browser-use installation, prompting strategies, or sensitive data handling. Do NOT use this for Cloud API/SDK usage or pricing — use the cloud skill instead. Do NOT use this for directly automating a browser via CLI commands — use the browser-use skill instead.

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。

Controls a local browser from a sandboxed remote machine. Use when the agent is running in a sandbox (no GUI) and needs to navigate websites, interact with web pages, fill forms, take screenshots, or expose local dev servers via tunnels.

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 designing, redrawing, or validating research-paper figures and tables, including Matplotlib plots, LaTeX tables, benchmarks, captions, legends, annotations, color, and typography. Preserves exact evidence and checks rendered PDFs for clipping, overlap, and readability.

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。

QA-test a website or web app and return a 1-5 quality score (5 = flawless, 1 = broken) with evidence. Use when the user wants to test, QA, evaluate, score, or "check how good" a site, page, flow, or app — including a local dev server (e.g. "qa test localhost:5173", "does the checkout work?", "rate this landing page"). Drives a real Browser Use cloud browser, tunneling localhost automatically.

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。

Reproduce, isolate, patch, and verify defects with explicit expected-versus-observed behavior.

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。

Identify and exploit SMTP Open Relays. This skill teaches how to test mail servers to determine if they process email delivery regardless of the sender or recipient domain, enabling attackers to spoof internal addresses and bypass basic anti-phishing controls.

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。

Advanced prototype pollution playbook — server-side RCE, client-side gadgets, filter bypasses, and detection techniques. Companion to ../prototype-pollution/ for basics. Use when you've confirmed pollution and need to escalate to code execution or find framework-specific gadgets.

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。

Server-Side Template Injection (SSTI) occurs when user input is embedded directly into a template engine (Jinja2, Twig, Freemarker, Pebble, Velocity, Smarty, Mako) and evaluated, enabling remote code execution. Detect via math expressions `{{7*7}}` returning `49`, or `${7*7}`, `<%= 7*7 %>`. Leads to full RCE via template sandbox escape, Python `__class__.__mro__` traversal, and Java reflection chains. Tools: tplmap, Burp Suite.

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 session fixation (WSTG-SESS-01, WSTG-SESS-03) and session exposure (WSTG-SESS-04) by testing whether the server issues a new session token post-authentication, whether pre-login tokens remain valid after login, and whether session IDs are transmitted over HTTP or included in GET parameters. Analyze token randomness via Burp Sequencer. Test JSESSIONID, ASP.NET Forms Auth cookies. Tools: OWASP ZAP, Burp Suite Repeater/Sequencer, JHijack.

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。

Exploit Time-of-Check to Time-of-Use (TOCTOU) race conditions in web applications and APIs. Use this skill when testing transactional operations (e.g., applying coupons, transferring funds, redeeming rewards, or purchasing items) to bypass business logic and duplicate actions before the server updates its database state.

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。

Exploit Server-Side Request Forgery (SSRF) vulnerabilities in applications hosted on AWS to access the highly sensitive Instance Metadata Service (IMDS). This allows an attacker to steal valid IAM roles and temporary security credentials, leading to catastrophic cloud account compromise.

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 weak reverse engineering and tampering protections in mobile apps (Android/iOS). Trigger on: root detection bypass, jailbreak detection bypass, Frida detection, debugger detection, anti-debugging, ptrace, sysctl, emulator detection, code obfuscation absent, debug symbols present, get-task-allow, ProGuard disabled, R8 disabled, string encryption, integrity check, file tampering, repackaging, dynamic instrumentation, runtime hook, Magisk hide, Magisk, frida-server, objection bypass, signing verification, apk resign. Covers MASVS-RESILIENCE-1/2/3/4.

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。

Execute advanced Man-in-the-Middle (MITM) NTLM Relay attacks specifically targeting environments where SMB Signing is purportedly enabled but improperly configured (e.g., exclusively required on Domain Controllers but NOT enforced universally on standard Workstations or File Servers). Utilize powerful tools like Responder and Impacket's NTLMRelayX to coercively capture NTLMv2 authentications (via LLMNR, WPAD, or Coercion methods like PetitPotam) and seamlessly relay them across the network identically yielding immediate Local Administrator command execution.

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。

Exploit insecure handling of the HTTP Host header to poison password resets, generate cache poisoning vectors, or bypass internal routing restrictions. Use this skill when web applications dynamically generate URLs, links, or redirects based on the arbitrary Host header value supplied by the client rather than relying on a static, trusted server 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。

HTTP Parameter Pollution (HPP): duplicate query/body keys parsed differently by servers, proxies, WAFs, and app frameworks. Use when filters and application layers disagree on which value wins, enabling bypass, SSRF second URL, logic abuse, or CSRF token confusion.

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。

Kubernetes penetration testing playbook. Use when targeting Kubernetes clusters via API server, RBAC enumeration, service account abuse, etcd access, Kubelet API, pod escape, cloud-specific metadata, admission webhook bypass, and registry secrets.

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。

Exploit JSON Web Tokens (JWT) by implementing the 'None' algorithm attack. This skill details how to bypass authentication mechanisms when a server improperly accepts JWTs with the `alg` header set to `none`, allowing attackers to forge tokens without a valid signature.

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。