Results for “product-safety”

Audit Reddit Ads campaigns across measurement, structure, targeting, creative, catalog, budget, brand safety, and reporting.

Use this skill to prevent destructive operations when working on production systems or running agents autonomously.

Provides production-ready Dart and Flutter code patterns for null safety, immutable state, async composition, widget architecture, state management, navigation, networking, and testing.

Drive end-to-end Convex production migrations with explicit safety gates for destructive operations and cleanup.

Audits Snapchat Ads measurement, Snap Pixel, Conversions API, mobile and app campaigns, creative formats, audiences, budgets, brand safety, and reporting.

For analysis/task/review agents using a Professional Skill on models, RAG, agents, evaluation, or safety; not for work without AI decision impact.

Plan and synthesize product/user research with method rigor: select the right method for the goal, compute defensible sample sizes with confidence labels, and cluster coded observations into insights while flagging single-source anecdotes.

Audits project dependencies for supply chain risks including single maintainers, unmaintained packages, low popularity, high-risk features, past CVEs, and missing security contacts.

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

Audits local code for production readiness, identifying risks in security, data integrity, payments, operations, and UX before shipping.

Creates agent company packages that conform to the Agent Companies specification, either from scratch or by analyzing an existing repository.

Prüft Produkt-Launch-Freigaben nach Produkthaftungs- und Produktrecht: Fristen, Form, Zuständigkeit, Rechtsweg und Sofortmaßnahmen; liefert eine Fristen- und Risikoampel mit Sofortschritten.

Analyze product health across acquisition, activation, engagement, retention, quality, and monetization.

Use this skill to validate the "why" before building, run product diagnostics, and convert vague ideas into specs.

安全专家入口。用于 Codex CLI 的 $expert-security 调用。 适用于威胁建模、漏洞评估、安全代码审查、安全架构设计、DevSecOps、安全运营、事件响应、合规审计和完整安全健康评估。 触发词：安全专家、威胁建模、STRIDE、OWASP、SAST、DAST、SBOM、漏洞评估、代码审计、事件响应、合规审计、SOC、等保、GDPR、PIPL、隐私政策审查

Design, prioritize, and evaluate product experiments with clear hypotheses and defensible decisions, including A/B testing, sample size estimation, and statistical interpretation.

Use this skill to validate the "why" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.

Generate professional product images for e-commerce, including hero shots, packshots, lifestyle scenes, and detail close-ups using AI via the inference.sh CLI.

Implements AI safety guardrails including input validation, output filtering, robustness testing, human oversight, and monitoring to prevent harmful outputs and ensure system reliability.

Secure Django applications against common vulnerabilities with production-ready settings, authentication, authorization, and input validation.

Validates product direction through structured diagnostics, founder reviews, user journey audits, and feature prioritization before building.

Use this skill for auth boundaries, input validation, secrets, RLS, injection risks, destructive-action review. Trigger when the task involves security work related to Security Hardening, production implementation, audits, debugging, strategy, or validation.

AI/ML security playbook. Use when assessing model supply chain attacks (pickle RCE, poisoned weights), adversarial examples, model poisoning, model stealing, data privacy attacks (membership inference, model inversion), and autonomous agent security risks.

Generate rights-cleared product photography variants for paid ads from an authorized source image and brand profile.

Assess software supply chain security by generating SBOMs, scanning dependencies, auditing CI/CD pipelines, analyzing container images, and verifying vulnerability reachability.

Write executive-ready product updates with signal, tradeoffs, risks, and recommendations.

Design low-effort experiments to test product assumptions for an existing product, including prototypes, A/B tests, spikes, and other validation methods.

Manage the portfolio of product paths — review, activate, archive, restore, promote, fork, and check revisit triggers across the product-path manifest

product-report

AI safety and responsible AI practices