Results for “fst”

Determines if primary aldosteronism is confirmed based on upright plasma aldosterone ≤6 ng/dL (170 nmol/L) on day 4 at 10 AM of fludrocortisone suppression test, provided plasma renin activity ≥1 ng/mL/h and plasma cortisol concentration lower than the 7 AM value to exclude ACTH confounding. Use when reviewing FST results to diagnose PA; triggers include "FST", "upright aldosterone ≤6 ng/dL", "PRA ≥1 ng/mL/h", and "cortisol drop".

Trains, evaluates, exports, and runs inference for FastFoundationStereo (FFS) stereo depth estimation models, a distilled variant of FoundationStereo with lower latency.

Assists with building and deploying full-stack serverless applications on AWS using SST. Use when defining Lambda functions, API Gateway routes, DynamoDB tables, S3 buckets, or deploying Next.js/Remix/Astro with SSR on AWS. Trigger words: sst, serverless stack, sst dev, sst deploy, aws lambda, sst ion, resource linking.

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments, deleted items, and metadata using libpff, pst-utils, and forensic email analysis tools for legal investigations and incident response.

Manages SST applications by discovering project config, checking stack status, and inspecting bound resources. Supports deployment, live Lambda debugging, secret management, and multi-stage environments.

Transcribes audio files to text using OpenAI Whisper, optimized for Brazilian Portuguese, with support for common audio formats and timestamped output.

Flash a promoted BSP image to a Jetson device in RCM mode using NVIDIA's flash.sh or l4t_initrd_flash.sh toolchain.

Run static BSP checks and on-target smoke/regression tests on a flashed NVIDIA Jetson device to validate a customized BSP image.

Guide federal systems through the NIST Risk Management Framework (SP 800-37 Rev 2) to achieve an Authorization to Operate (ATO), covering categorization, control selection, assessment, and continuous monitoring.

Apply functional programming patterns with fp-ts in React, covering state management, form validation, and data fetching for React 18/19 and Next.js 14/15.

pytest Python testing framework. Covers fixtures, parametrize, and mocking. Use for Python testing. USE WHEN: user mentions "pytest", "python test", "fixture", asks about "@pytest.fixture", "@pytest.mark.parametrize", "conftest.py", "pytest coverage", "python unit test" DO NOT USE FOR: JavaScript/TypeScript - use `vitest` or `jest`; Java - use `junit`; E2E web tests - use `playwright`; Load testing - use locust

Runs an Opportunity Solution Tree workflow with a lightweight graph database and CLI, routing through outcome, opportunity, solution, and assumption phases.

Starts a session by initializing a local database, selecting or creating a workspace and outcome, then routing to the relevant phase reference.

Fine-tune instruction-following LLMs with Unsloth's optimized SFTTrainer, covering dataset formatting, chat templates, training configuration, and thinking-model patterns.

pytest - Python's most powerful testing framework with fixtures, parametrization, plugins, and framework integration for FastAPI, Django, Flask

Write and run smart contract tests with Foundry, covering unit, fuzz, fork, and invariant testing, with guidance on what to test and common LLM pitfalls.

Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Works with React 18/19, Next.js 14/15.

Dense, machine-readable API reference for PyFixest — high-dimensional fixed-effects OLS/WLS/IV and Poisson (feols, fepois, feglm), clustered/robust standard errors, R-style formula syntax, and post-estimation. Use when writing or debugging Python fixed-effects regressions with the pyfixest package.

Detect NTFS timestamp manipulation (MITRE T1070.006) by comparing $STANDARD_INFORMATION vs $FILE_NAME timestamps in the MFT using analyzeMFT and Python.

Structured threat modeling skill using the PASTA framework (Process for Attack Simulation and Threat Analysis) combined with Adam Shostack's 4-question framework. Use this skill whenever the user asks to do threat modeling, security analysis, map the attack surface, identify threats, or review an application for security risks — even if they don't mention PASTA or a specific framework by name. Core activities: Component Mapping (architecture + data flows), Critical Assessment (business impact prioritization), and Logic Flaw Identification (attacker mindset on business logic). Produces: component map diagram (Mermaid), data flow diagram (Mermaid), attack tree (Mermaid), STRIDE threat table, prioritized risk register, and an actionable mitigation plan. Invoke proactively for any security review, architecture review, or "what could go wrong?" session.

Query the U.S. Treasury Fiscal Data REST API for federal financial data including national debt, daily and monthly treasury statements, securities auctions, interest rates, exchange rates, savings bonds, and government revenue and spending statistics. No API key required.

Development with Fpga: tools and best practices

Detect and exploit Server-Side Template Injection (SSTI) vulnerabilities across Jinja2, Twig, Freemarker, and other template engines to achieve remote code execution during authorized penetration tests.

Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Works with React 18/19, Next.js 14/15.

Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Works with React 18/19, Next.js 14/15.

PHPStan static analysis in Sage/Acorn projects — lando composer phpstan, phpstan.neon configuration, PHPStan level 0-9, WordPress PHP stubs, szepeviktor/phpstan-wordpress, baseline generation, CI phpstan, suppress errors, type errors, return type mismatch, nullable types, WordPress function stubs, WP_Post WP_Query WP_User types

Configure PHP ecosystem tooling, dependency management, and static analysis. Use when managing Composer dependencies, running PHPStan, or configuring PHP build tools.

Provides practical patterns for using fp-ts with React, including hooks, state management, form validation, and data fetching.

SSOT（Single Source of Truth）と実際のファイル/設定の整合性をチェックし、乖離があれば修正するスキル。 「SSOTチェックして」「SSOT整合性チェックして」「SSOT整理して」「SSOTのズレを直して」 「00_SYSTEM更新して」「乖離を修正して」と言った時にトリガーする。 /ssot-check でも呼び出せる。

Development with Ffi: tools and best practices

Expert NIST Cybersecurity Framework (CSF) advisor covering CSF 2.0 and CSF 1.1. Use this skill whenever a user asks about NIST CSF, cybersecurity risk management, the six CSF functions (Govern, Identify, Protect, Detect, Respond, Recover), CSF profiles, implementation tiers, gap assessments, organizational profiles, community profiles, CSF core subcategories, informative references, or mapping to other frameworks (NIST SP 800-53, ISO 27001, CIS Controls, COBIT). Also trigger for questions like "how do I implement NIST CSF?", "what does CSF 2.0 change?", "help me build a CSF profile", "how do I assess my cybersecurity posture?", or any request involving organizational cybersecurity risk strategy or framework alignment.

Conduct a maturity assessment against the NIST Cybersecurity Framework (CSF) 2.0, using Implementation Tiers to measure organizational cybersecurity posture and create improvement roadmaps.

Practical patterns for using fp-ts with React: Option for optional state, Either for form validation, TaskEither for data fetching, and RemoteData for async state management.

Provides a general step-by-step procedure for handling requests related to end, size, and fs, with placeholders for specifics.

Use when configuring, running, or fixing PHPStan static analysis in WordPress projects (plugins/themes/sites): phpstan.neon setup, baselines, WordPress-specific typing, and handling third-party plugin classes.