Results for “beweisfragen”

Enforces running verification commands and confirming output before claiming work is complete, fixed, or passing, ensuring evidence precedes any success claims.

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

Pressure-tests AI Management Systems against ISO 42001 with six forcing questions for certification readiness, internal audits, and new-system onboarding.

Deliberative consultation with Codex CLI. Ask, evaluate, critique, iterate until workable agreement.

Validate user claims against codebase and git history, trace to root cause, and propose a fix

Verify that a change really works before you claim completion

Interrogates a plan against real third-party documentation, extracting hard constraints and asking doc-cited questions before producing a constraints appendix.

Require fresh evidence before claiming an implementation, fix, build, or test is complete.

Verifies claims, articles, screenshots, and URLs through source-grounded analysis with an evidence ledger, source credibility evaluation, and manipulation detection. Supports quick checks, full fact-check cards, two-source comparisons, and prebunking in multiple languages and policy contexts.

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

Clarify requirements before implementing by asking targeted questions when a request has multiple plausible interpretations or key details are unclear.

Provides expert guidance for testing Spring Boot 4 applications with modern patterns, test slices, and best practices.

Ask visual questions about video clips using a VSS agent's video_understanding tool, requiring a fresh look at frames rather than prior metadata or search results.

Verifies suspected security bugs to eliminate false positives, producing a TRUE POSITIVE or FALSE POSITIVE verdict with documented evidence for each.

Prepares for FDA QSR audits by asking six forcing questions covering complaints, process validation, DHRs, CAPAs, labeling, and Form 483 history.

TextVQA: Towards Reasoning about Text in Images

Research a customer question across docs, changelogs, and past tickets, then answer with source attribution, a confidence rating, and honest gaps.

Verify feature, bug, UI, API, mobile, security, or deployment work against acceptance criteria.

Verify the article’s factual, product, citation, and link integrity before visual production.

Evidence-based health research using tiered trusted sources with GRADE-inspired evidence ratings. Integrates Apple Health data for personalized context. Use when user asks health, nutrition, exercise, sleep, or wellness questions.

Identify flaws in application business logic that allow price manipulation, workflow bypass, and privilege escalation beyond what automated scanners can detect.

Enforces a verification gate before any completion claim, requiring fresh command output as evidence.

Verify code changes work by running them. Proves through execution, not just inspection.

Deliberative consultation with Gemini CLI. Ask, evaluate, critique, iterate until workable agreement.

Prüft Unterlagen und Lücken in Mietrechtsfällen: erstellt Sollkatalog, gleicht Ist-Bestand ab, priorisiert fehlende Dokumente nach Frist- und Beweisrelevanz und entwirft Rückfrageschreiben.

Use this skill for property tests for parsers, validators, transforms, state machines, edge cases. Trigger when the task involves programming work related to Property Based Testing, implementation, audits, debugging, strategy, or validation.

Big Data Based Testing Skill

Audits a research knowledge base for stale profiles, thesis drift, and orphan pages, returning a 0-100 health score with actionable recommendations.

Evaluates social bias in question-answering models using the BBQ benchmark, measuring accuracy and a bias score across ambiguous and disambiguated contexts to reveal reliance on stereotypes.

Deliberative consultation with Codex CLI. Ask, evaluate, critique, iterate until workable agreement.

Supplements general deposition preparation with IP-specific examination frameworks for patent, trademark, copyright, and trade secret cases. Covers witness strategies for inventors, accused infringers, licensing witnesses, and experts. Use alongside @deposition-preparation and @deposition-expert-witness when planning IP depositions, drafting outlines, or analyzing witness strategy.

Design and evaluate A/B tests with power, sample size, and robust metric interpretation. Use when: (1) planning controlled experiments, (2) reading p-values/effects, (3) sequential testing safeguards. NOT for: dark-pattern optimization.

Benchmarks zero-shot in-context learning on BIG-Bench Hard multiple-choice tasks, comparing self-generated demonstrations against direct prompting and chain-of-thought baselines, and reports accuracy.

Review a code change for changed behavior that could regress without reliable verification catching it. Use when checking whether a change is adequately verified.

Answers questions about a codebase by searching and reading source files, then synthesizing answers with inline citations and a key files table.