E Shield
by Sir Benjamin
A high-performance ethical guardrail and IP protection layer for safeguarding AI reasoning and core logic.
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THE AGENSI STORE
635 skills found
by Sir Benjamin
A high-performance ethical guardrail and IP protection layer for safeguarding AI reasoning and core logic.
Transform raw video files into structured JSON and Markdown reports with local character detection and transcription.
Drive a browser from your agent without the token bloat. Batches navigate/click/type into one call, stays logged in with persistent sessions, and feeds the model compact DOM snapshots instead of giant HTML, so multi-step flows like logins, form-filling, and scraping behind auth stay fast and cheap. Runs on the uBrowser MCP server.
Maintain strategic coherence across long coding sessions using Claude Code's native memory and task systems.
by Roy Yuen
Standardize agent collaboration with high-density mission packets, strict authority boundaries, and return contracts.
Professional audit trails, decision tracking, and human-in-the-loop safety for autonomous AI agent teams.
by Ilia Malkin
Diagnose and fix Windows-specific AI coding agent failures across shells, paths, WSL, locks, ports, and CRLF diffs.
Transform Grok into a local-first coding agent that writes, edits, and verifies files directly in your workspace.
Force your AI agent to minimize token usage (-70% token usage across multiple scenarios), batch commands, and eliminate conversational filler for faster, cheaper ops.
Quickstart guide to connect your AI agent to the Agensi marketplace via Model Context Protocol (MCP).
by Sir Benjamin
A helical iteration engine using the ± operator to balance broad creative discovery with precise technical refinement.
by Shandra
Creates trustworthy research briefs by verifying claims, grading sources, separating facts from assumptions, identifying weak evidence, and producing citation-ready outputs.
by Shandra
Builds compliant B2B outbound SDR workflows that identify target accounts, analyze buying signals, draft personalized outreach, handle objections, and prepare qualified meeting handoffs.
Reliable, health-gated autonomous operations for agents in restricted or sandboxed terminal environments.
Create a reviewable coding-agent handoff from current repository state, resume from the newest handoff with a drift check, or reconstruct one from transcript cues when no handoff exists.
by LocoLoboZ
Automate Google NotebookLM research workflows, source ingestion, and study material generation via CLI and Python.
An adversarial gate that audits an AI eval or test suite — LLM-judge rubrics, datasets, regression tests, metrics — for gameable criteria, data leakage, missing edge cases, and non-determinism, then returns one PASS/REVISE/FAIL verdict.
by Matthew King
Audit, score, and improve your AI agent skills for higher quality, lower token costs, better reliability, and marketplace success. Get actionable recommendations for prompts, instructions, tool usage, error handling, and user experience.
by LocoLoboZ
Orchestrate independent reviews, adversarial audits, and multimodal analysis via secondary models and external tools.
Lint your AGENTS.md (or CLAUDE.md and .cursorrules) for the problems that make a coding agent misbehave. Flags contradictory rules, references to files and commands that no longer exist, overly broad or unsafe instructions, missing sections (build, test, run, conventions), duplicate rules, and the case where you have competing rule files that should be consolidated into one AGENTS.md.
by Alvaro
PromptShift is a minimal prompt adapter that preserves intent while improving clarity across AI models.
A reusable rubric that grades every source by type, recency, authority, independence, and corroboration, then ranks them and resolves conflicts by evidence weight.
by Sir Benjamin
A lightweight defensive layer that prunes hallucinations and boosts reasoning quality for 8k-32k context agents.
by LB Creations
Audit AI agent memory files for privacy risk and bloat.