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THE AGENSI STORE
146 skills found
An adversarial reviewer for AGENTS.md and agent instruction files. It flags ambiguous or contradictory rules, missing guardrails, vague tool and scope definitions, and untestable instructions, then returns a PASS / REVISE / BLOCK verdict — before the config drives your agent.
by Zotri
A brutal honesty framework to prevent timeline slippage and optimism bias for solo founders.
An adversarial reviewer for landing pages and conversion copy. It flags an unclear value proposition, a weak or buried call to action, missing social proof, funnel friction, and unsupported claims, then returns a PUBLISH / REVISE / HOLD verdict — before the page goes live.
by Zotri
Run Claude Code unattended with a battle-tested safety framework, hardened deny-rules, and a 6-layer rollback ladder.
An adversarial senior engineer review gate that audits AI-written code for security gaps and logic errors before shipping.
Transform rough notes and data into polished, branded business documents, reports, and invoices.
A pre-publish audit gate to extract claims, verify facts, and flag compliance risks in public-facing content.
Runs an ordered evidence-integrity gate over any AI draft — grade sources, ground claims, verify technical assertions, stress-test — then returns one PASS/REVISE/FAIL ship decision.
An iterative agent loop that optimizes any prompt, config, or artifact by making one change at a time, scoring it against a metric, and keeping only the winners.
An adversarial gate that audits any chart, data summary, or statistic for misleading visuals and unsound inference, then returns one PASS/REVISE/FAIL verdict.
A structured protocol for AI agents to orchestrate sub-agents with role contracts and disciplined handoffs.
Turn complex legalese into a plain-English map of your rights, risks, and red flags.
Scaffold a complete, production-ready transactional email system — verification, password reset, receipts, and notifications — with deliverability hardening, retries, idempotency, and a suppression list.
An adversarial reviewer for job descriptions and candidate-facing hiring content. It flags biased or exclusionary language, risky questions, inflated or vague requirements, and missing disclosures, then returns a POST / REVISE / HOLD verdict. A bias-and-clarity aid, not legal advice.
An adversarial security gate that audits untrusted content — web pages, tool outputs, documents, emails — for embedded instructions, exfiltration, and authority spoofing, then returns a SAFE/REVIEW/BLOCK verdict.
A structured recovery framework to stop agent loops, handle malformed output, and manage autonomous error escalation.
First-pass screener that flags AI-generated, paper-mill, and fabricated scholarship using tortured-phrase, citation, statistical, and template detectors.
An adversarial gate that audits cloud and infrastructure-as-code config — Terraform, Kubernetes, IAM, security groups, buckets — for the misconfigurations that cause real breaches, and returns a structured PASS/REVISE/BLOCK verdict with severities and exact fixes before anything reaches your environment.
Audit your frontend for accessibility violations before release — flags WCAG failures, gives prioritized fixes, and blocks the broken patterns that get sites sued.
Convert raw meeting transcripts and messy notes into structured Markdown action plans and follow-up emails.
An adversarial pre-publish gate that audits any article or web page draft for on-page SEO — title and meta, heading structure, keyword use without stuffing, internal links, readability, and search intent — returning a structured PASS/REVISE/FAIL verdict with a fix for each issue.
An adversarial reviewer for AI-written code changes. It pressure-tests a pull request or diff for untested branches, silent behavior changes, missing edge cases, over-confident code that only looks right, and weak tests, then returns a PASS / REVISE / BLOCK verdict before the change merges.
An adversarial reviewer for product listings and e-commerce copy. It flags weak or keyword-poor titles, feature-only bullets, missing trust and specifics, unsupported claims, and conversion friction, then returns a PUBLISH / REVISE / HOLD verdict — before the listing goes live.
Cost-aware execution planning for AI agents — estimate cost-vs-value before expensive steps, propose cheaper paths (cache, summarize once, downshift models), and track spend against a session budget with a PROCEED / OPTIMIZE / DEFER verdict.