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THE AGENSI STORE
161 skills found
An adversarial gate that audits meeting notes or a transcript summary before you share them — catching missed decisions, vague or unowned action items, and tasks with no deadline — and returns a structured PASS/REVISE verdict plus a cleaned action list where every task has an owner and a date.
An adversarial gate that audits an MCP server or agent tool definition — schemas, descriptions, scopes, auth — for tool poisoning, excessive agency, injectable descriptions, and missing access controls, then returns one SAFE/REVIEW/BLOCK verdict.
by Nex AI
Automated legal document checklist for Belgian notary offices to ensure file completeness before signing.
An adversarial reviewer for Dockerfiles and container builds. It flags root users, image bloat, unpinned or cache-busting layers, leaked secrets, and missing hardening, then returns a PASS / FIX / BLOCK verdict — before you build or push the image.
Scaffold or harden a production-grade GitHub Actions pipeline for WordPress — with a blocking lint gate that stops broken code before it deploys, and a fail notification that makes silent deployment failures impossible.
An adversarial reviewer for cold emails, follow-ups, and outreach sequences. It flags weak subject lines, unclear asks, spam-filter triggers, broken or generic personalization, and pushy tone, then returns a SEND / REVISE / HOLD verdict — before you hit send.
An adversarial reviewer for your personal budget or monthly spending plan. It checks that the numbers add up, that common categories aren't missing, and that the plan is internally consistent and livable, then returns a PASS / REVISE / HOLD verdict. A clarity-and-consistency aid, not financial advice.
by 43 Sunsets
Audit your n8n workflow before it breaks in production — graded report with exact node-level fixes.
Audit your project's dependencies for supply-chain risk before they ship. Detects the ecosystem, runs the right vulnerability scanners against live advisory data, and adds the checks tooling misses — outdated or abandoned packages, typosquatted or suspicious names, risky install scripts, and license conflicts — then returns a prioritized fix list and a PASS / REVIEW / BLOCK verdict. It's npm audit with triage and judgment on top.
by Boubacar B
Five adversarial perspectives on your idea, run in one session, before you write a line of code. You find out where your plan breaks before you build it, not after. Stop shipping features nobody wanted and start shipping the things that hold.
by Corey Jacobs
Run a buyer-readiness check before publishing an AI agent skill package.
Write a technical spec that lets reviewers find the flaw before the code does — with data models, edge cases, and failure modes explicit.
by Nex AI
Automated VAT audit assistant for accountants to verify journals and detect filing errors before submission.
Flag the destructive operations in a shell command or script before anyone runs it. Catches recursive force deletes, force pushes and history rewrites, database drops and truncates, disk-wipe commands (mkfs, dd to a device), permission blowouts (chmod 777), remote content piped into a shell, broad wildcard deletes, and prod-targeting or disabled-safety flags. Each finding comes with a severity and a safer alternative.
by 43 Sunsets
Compare two OpenAPI specs and catch every breaking change before your consumers do — with a client migration table.
by Timoranjes
Evaluate third-party agent skills for command injection, prompt injection, and data exfiltration before installation.
Review a database schema, queries, or migration for the mistakes that get expensive in production — bad table design, missing or wrong indexes, slow and N+1 queries, SQL injection, and migrations that lock or break prod. Engine-aware (PostgreSQL, MySQL, SQLite, SQL Server), it runs an ordered review and returns a PASS/REVIEW/BLOCK verdict with prioritized fixes. Schema mistakes are the most expensive kind — this catches them before they ship.
Scaffold a secure, spec-compliant MCP server from a description of the tools you want to expose. Sets up the official SDK (TypeScript or Python/FastMCP), defines tools/resources/prompts with strict JSON Schema, wires the right transport (stdio or Streamable HTTP), adds OAuth 2.1 for remote, and hardens against the MCP-specific footguns — prompt injection via tool output, token passthrough, over-broad scopes, command/path/SSRF injection, leaked secrets — before it ships. Returns a runnable skeleton plus a security checklist. Built by someone who's shipped production MCP servers.
by Ifásola
Stop guessing and start proving: Force your AI agent to provide verifiable execution logs for every 'done' claim.
Check your app for the security mistakes that leak data before you launch, explained in plain English. Flags API keys and secrets sitting in your code, a committed .env file, data with no login protecting it, database tables anyone can read, debug mode left on, wide-open sharing (CORS), hardcoded admin passwords, and public storage buckets. Built for non-technical founders shipping AI-built apps: every finding tells you what is wrong, why it matters, and how to fix it.
Generate a real test suite for any function, module, or file — meaningful edge cases, error paths, boundary conditions, and proper mocks, not happy-path stubs. Detects your project's framework and conventions, plans the cases deliberately before writing, and hands back runnable tests plus a summary of what's covered. Built to write the tests that actually catch bugs.
Audit AI-assisted medical and pharma content for compliance-readiness before it enters formal MLR review or journal submission. It checks claim substantiation and on-label scope, reference integrity (the acute AI risk: fabricated or misrepresented citations), fair balance and safety, AI-use disclosure, ICMJE authorship and GPP, COI and funding, data integrity and patient privacy, and adverse-event flags — then returns a PASS / REVISE / BLOCK verdict with the must-fix list. A readiness pre-check built for the regulated reality of medical communications — not a replacement for formal review.
A pre-submission gate for medical and scientific manuscripts. It audits your near-final draft, abstract, poster, or congress submission for the disclosures journals now screen on intake — AI/LLM-use disclosure (ICMJE-aligned), authorship against the four ICMJE criteria, conflict-of-interest and funding statements, and data availability — then returns a PASS/REVISE verdict naming every gap, plus a ready-to-paste AI-use disclosure statement. Built by a CMPP-certified medical writer.
A senior WordPress security auditor that reasons about WP-API taint flow — not regex hits — to find the 8 real plugin/theme vulnerability classes a generic scanner misses, and returns scored findings with ready-to-merge before→after patches.