Turn web research into verified answers, evidence trails, durable memory proposals, long-form notes, and reusable agent playbooks.
This Skill is built on practical expertise in AI agent safety, prompt-injection defense, source-to-sink privacy review, tool and MCP metadata integrity, memory provenance checks, autonomous action scoping, and evidence-based verification. It helps agents separate instructions from evidence before tool calls, uploads, publishing, deletion, code execution, or network output.
This agent helps Python teams using the Anthropic or OpenAI SDK safely cut LLM spend without risking regressions. With zero code changes, it maps call sites and runs your test scenarios to rank token waste from missed prompt caching or heavy model tiers. It tests fixes in isolated git worktrees, enforcing a strict "do-no-harm" gate that reverts any patch failing to preserve behavior. It delivers a clear savings audit that converts into verified, behavior-preserving code patches upon opt-in.
Audit AI agent workspaces for authority, secrets, data flow, memory, supply-chain, and evidence risks—locally and without executing target code.
Autonomous multi-agent system for e-commerce advertising. Features AI-driven creative generation, real-time multivariate testing, and cross-platform budget optimization (Meta, TikTok, Amazon). Uses historical performance data to autonomously refine targeting, bids, and creative assets, maximizing ROAS while reducing manual overhead. A scalable, data-driven solution for end-to-end campaign management.
Connect any MCP-compatible AI agent (Claude, Cursor, Copilot, Codex, Windsurf, Amp, Cline) to Penpot to create, audit, and maintain design systems — tokens, flows, interactions, animations, and design-to-code export to HTML/CSS/React.
Name a source country, destination market and sector — Ccorridor returns a ranked, regulation-gated, margin-checked shortlist of what will actually sell cross-border, plus live-commerce bundles. It scores every candidate on the TSF framework: global trend momentum × source-country validation × destination demand-and-supply gap × live-commerce fit × unit economics. Data, not hype. by AscendraAI.
Prevents AI agents from declaring tasks complete until every requirement is verified with a one-line evidence anchor — when a gate fails, the agent stops and reports rather than proceeding, and only a human can unlock the gate to continue.
A lightweight Copilot subscription agent runtime built on FastAPI and Copilot SDK. Manage multi-account OAuth, scheduled tasks, GitHub Enterprise support, and a bilingual Web UI.