Results for “fair”

Quantify cyber risk using FAIR methodology with Monte Carlo simulation, assess control effectiveness against NIST CSF/CIS/ISO 27001 frameworks, evaluate risk appetite alignment, and analyze cyber insurance coverage adequacy. Covers threat landscape mapping, asset valuation, loss event frequency and magnitude estimation, annualized loss expectancy calculation, control gap analysis with ROI ranking, residual risk assessment, and insurance policy gap modeling at 90th/95th/99th percentile loss scenarios. Use when building risk registers, preparing board-level risk dashboards, evaluating security investment priorities, assessing cyber insurance coverage, or auditing any organization's risk quantification maturity per NIST RMF, ISO 27005, or FAIR standards.

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Cyber Risk Quantification engineer for CyberRadar. Implements FAIR (Factor Analysis of Information Risk) methodology, Monte Carlo simulation for loss distribution modeling, financial impact quantification in multi-currency (SAR, USD, EUR, GBP), loss exceedance curves, risk treatment ROI calculation, insurance premium optimization, and board-ready financial risk reporting. Transforms qualitative risk assessments into monetary terms for executive decision-making. Triggers on: CRQ, FAIR, Monte Carlo, financial impact, loss modeling, risk quantification, cyber insurance, risk treatment ROI, financial risk.

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Scaffolds or audits a social-science replication package and evaluates the manuscript and archived research objects against FAIR principles. Scaffold mode writes the folder structure, README, master.R, figure-table crosswalk, codebook, LICENSE placeholder, and .gitignore; audit mode grades the package against a pre-release checklist and audits data, code, materials, identifiers, licenses, access restrictions, and availability statements. Use when setting up or repairing a package, checking one before submission, auditing FAIR compliance, or drafting availability statements. Adapted from Yusaku Horiuchi’s replication-package-guide.

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Simulate rigorous, fair peer review on a paper — in two modes. (A) Red-team YOUR OWN draft before submission to predict the reviews you'll get and get a fix list. (B) Review SOMEONE ELSE'S paper when you're an assigned reviewer or helping your advisor — produce a fair, venue-formatted, submission-ready review. Use whenever the user gives a paper (PDF, .tex, .md, arXiv link, or pasted text) and wants to predict reviews, find weaknesses before reviewers do, stress-test a submission, OR write a real review of another paper. Grounded in official NeurIPS/ICLR/ACL reviewer guidelines; every criticism pinned to a location, and checked against ACL's H1–H17 list of illegitimate critiques. 两种模式:审自己的稿(投稿前红队)/ 审别人的稿(当审稿人或帮导师),按会议官方标准评,绝不脑补、绝不发不正当批评。

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Evaluates management buyouts and take-private proposals with fairness assessment, minority squeeze-out mechanics, and appraisal rights analysis. Use when analyzing going-private deals, evaluating MBO fairness, or assessing minority shareholder protections.

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Use when you need to answer "which attacker techniques do our controls actually stop, and how well?", "what controls should I have for this threat?", or "what telemetry should I collect to detect it?" — joining a customer's or your own security control baseline to ATT&CK techniques using a public, versioned evidence base of 9,545 control-to-technique mappings from six sources. Produces four ranked lists (addressed strongly, addressed weakly, real gaps, and techniques no control anywhere addresses). Use for control gap analysis, security programme prioritisation, board reporting on coverage, or the Resistance Strength side of a FAIR risk assessment. Invoke after /threat-actor-profiling or /lookup-liberty91 has produced a technique list.

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Use for ethical thinking, or when a plan could harm or unfairly burden people: "should we do this?", "is this fair?", "privacy or bias risk", "who gets hurt?". Maps stakeholders, harms, power and consent. Skip for legal advice, neutral fact lookups and implementation-only work.

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Expert en éthique de l'IA (bias detection, fairness, explainability, responsible AI, guardrails)

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Busabase-backed household pooled-pension / elder-care fund App-in-Skill (家庭统筹基金) that keeps one read-only bookkeeping dashboard where transparency equals fairness. Use when the user invokes $kelly-family-fund or /kelly-family-fund, wants to pool two elders' pensions (退休金) managed by one steward (统筹人), pay a fixed care cost (养老院 / nursing home), and share the surplus across sibling families (交通/聚餐/生日礼物/人情/social gifts), track a household fund balance and monthly income/expense/net, see per-family cumulative benefit, share %, and fairness deviation (公平), a per-category spend split, CSV import or manual ledger entry (记账). It reads Busabase only and NEVER moves money.

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Create an HTML policy briefing deck about expanding urban tree canopy for city councils and agency reviewers. Organize public needs, evidence, policy options, and funding decisions within a consistent forest-green and cream presentation template.

• Preparing an urban greening proposal for city council
• Organizing policy evidence and options for agency review
• Presenting a funding decision in a policy briefing

Build a magazine-style HTML presentation that explains a brand’s purpose, beliefs, and direction to partners, press, or a community. Combine seven slide types with horizontal navigation, touch swipes, and a thumbnail overview.

• Explaining a brand story to partners and press
• Creating a founder pitch or conference presentation
• Combining product details, metrics, and customer quotes

Select random winners from lists, CSV files, Excel, or Google Sheets. Choose multiple winners without duplicates, exclude previous winners, apply entry-based weighting, and record the selection method and timestamp for review.

• Drawing winners for social media giveaways
• Selecting event raffle winners and alternates
• Randomly choosing survey or test participants

Build and troubleshoot TorchDrug 0.2.1 workflows for molecular property prediction, molecule generation, protein modeling, and knowledge graph reasoning. Connect datasets, models, training tasks, and evaluation while checking version compatibility and common implementation errors.

• Training and evaluating molecular property prediction models
• Building molecule generation workflows
• Learning representations of protein sequences and structures

Assess whether bonds are expensive, cheap, or fairly priced by comparing yields with government rates and credit risk benchmarks. Combine spread breakdowns, historical context, and interest rate scenarios into tables and a recommendation.

• Comparing the relative value of candidate bonds
• Separating credit risk from other yield differences
• Estimating gains and losses under interest rate shifts

Research private companies through six perspectives, including business, finances, competition, and technology. Cross-check evidence, separate facts from inferences, and produce a valuation range, possible exit routes, and a map of missing information.

• Assess a private company's business and valuation range
• Compare conflicting revenue or funding reports
• Check company claims against hiring and patent signals

Turn a product idea into a Lean Canvas, a nine-part outline of business assumptions. Define customer problems, solutions, value, channels, revenue, costs, and metrics, then identify risky assumptions and suggest experiments to test them.

• Organizing business assumptions for a new venture
• Clarifying target customers and the value offered
• Reviewing revenue, costs, and key metrics together

Create paper figures and LaTeX comparison tables from experiment data in JSON or CSV files. Save reproducible plotting scripts, use consistent styling, and check rendered figures for readability, fair comparisons, and captions supported by the data.

• Plotting training curves
• Comparing methods and ablation results
• Combining results across datasets into multiple panels

Select random winners from lists, CSV files, Excel, or Google Sheets. Choose multiple winners without duplicates, exclude previous winners, apply entry-based weighting, and record the selection method and timestamp for review.

• Drawing winners for social media giveaways
• Selecting event raffle winners and alternates
• Randomly choosing survey or test participants

Create a tall, newspaper-style poster with a large serif headline, two-column text, and six numbered sections. A cream background, highlighted quotations, and publication details give text-heavy announcements the feel of a Sunday newspaper page.

• Designing a newspaper-style announcement poster
• Presenting a manifesto in six numbered sections
• Creating a text-led editorial poster

Create a horizontally navigated HTML presentation with a magazine and e-paper look. Combine a flowing WebGL cover background, serif headlines, chapter dividers, large numbers, image grids, and quotation pages to present your content.

• Presenting a campaign with a magazine look
• Highlighting a key number with a short explanation
• Combining image grids and quotation pages

Build a magazine-style presentation with a paper-and-ink look. Ten reusable layouts cover narratives, data, quotes, and comparisons, while five fixed palettes provide consistent styling in a single HTML file with keyboard navigation.

• Sharing a viewpoint through a magazine-style presentation
• Highlighting figures and quotes
• Explaining steps or before-and-after comparisons

Create print-friendly slides explaining system architecture or a pipeline, a sequence of processing steps. The layout combines a cream background, blueprint grids, process boxes, rust-red callouts, and dashed feedback loops.

• Explaining a system architecture
• Presenting the steps in a processing pipeline
• Showing feedback loops in a workflow

Produce a finished faceless video with multiple scenes, a consistent illustrated style, and narrator voiceover. Supports explainers, history, stories, and children's content, assembling scenes and optional embedded subtitles into one video file.

• Producing narrated explainer videos without appearing on camera
• Creating illustrated history documentaries
• Retelling fairy tales and myths as narrated videos

Design and test combat encounters in Three.js action games. Plan arenas, enemy roles, spawn timing, objectives, boss phases, and rewards, then check fairness and difficulty using repeatable starting conditions on desktop and mobile.

• Planning combat arenas and enemy combinations
• Tuning enemy waves and boss phases
• Checking attack warnings and recovery opportunities