Agent Memory Audit
Adversarial memory audit to remove PII, stale facts, and injected instructions from agent storage.
Ship agent workflows in 30 seconds. Browse 2,000+ expert-built and security scanned skill -> Browse skills
THE AGENSI STORE
146 skills found
Adversarial memory audit to remove PII, stale facts, and injected instructions from agent storage.
Generates complete, high-conversion Etsy printable kit specs for the real estate open house niche.
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.
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.
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.
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the ecosystem, runs the right vulnerability scanners against live advisory data, and adds the checks tooling misses — outdated or abandoned packages, typosquatted or suspicious names, risky install scripts, and license conflicts — then returns a prioritized fix list and a PASS / REVIEW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.
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.
Stop your agent citing papers that don't exist. Verifies every reference against live PubMed & Crossref — flags fabricated, mismatched, and retracted citations.
Turn your expertise into a course people buy and actually finish. It validates the idea and finds the angle first, then locks the transformation, structures modules and lessons sequenced for real learning (not a topic dump), prices it against the platform and competitors, writes the sales page, and gives an honest launch plan — for Teachable, Udemy, Kajabi, Podia, Gumroad, or self-hosted. Built around the truth that people buy a transformation, not content.
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.
Ship production-grade, block-first WordPress themes and plugins with CI/CD and accessibility baked in.
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.
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.
Generate a spec-compliant llms.txt (and optional llms-full.txt) for your site or repo so AI agents and crawlers can navigate it. Curates the pages that matter, writes the exact llmstxt.org structure — single H1, blockquote summary, and link sections in the precise format agents parse — then validates the format and tells you where to put it. The honest version: a low-cost, machine-readable surface for the agentic web, not an overhyped SEO trick.
Audit any page, article, or doc for how likely AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Claude — are to surface and cite it. Checks answer-first extractability, question-shaped structure, quotable units, factual specificity, sourcing, schema, and freshness, then returns a PASS/REVISE verdict with the prioritized fixes. This is Answer Engine Optimization, not classic SEO — it optimizes content to be quoted inside AI answers.
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 fast READY or NEEDS WORK check for your README. Catches the make-or-break gaps — missing what-and-why, setup, or a working example — in about 30 seconds.
Generate design-system-aware landing page sections that inherit your CSS variables and conversion copy patterns.
by Al1as
Transform raw digital product ideas into complete, SEO-optimized Etsy listing packages and marketing kits.
by SkillForge
End-to-end webinar strategist for planning, scripting, and executing high-conversion sales funnels.
A DevSecOps engineer that stands up and tunes static analysis (Semgrep, SonarQube, CodeQL) for high-signal findings — picks the right tool for the stack, writes the config and rulesets, wires a sane CI gate, and tunes out the false positives that get scanners muted.
Write and review the docs AI agents actually read — AGENTS.md for your repo and llms.txt for your site. Drafts them from scratch or audits existing ones for completeness, clarity, and wasted context, with a PASS or REVISE verdict.
Turn an idea into a ready-to-sell digital product and the listing to sell it. It validates demand and finds a real angle first — so you don't add to the AI slop — then defines the product with a full outline, names and positions it, prices it against the platform and competitors, and writes the SEO listing (title, benefit-led description, tags, image briefs) for Etsy, Gumroad, Shopify, or KDP, plus an honest launch plan. Built by someone who actually sells digital products.
by SkillForge
Onboard a freshly-signed client like a top agency — welcome email, kickoff agenda, intake form, roadmap, and checklist in minutes.