PubsProToolkit builds adversarial "gate" skills for AI agents — they catch problems before your output ships, instead of just generating more. From code, security, and infrastructure to content, hiring, contracts, and finance. Built by a CMPP-certified, PhD medical writer who brings regulated-industry rigor to every domain.
Give your agent CMPP-certified medical-writing expertise — 30+ frameworks for clinical manuscripts, congress content, and regulatory QC. Build compliant pharma/biotech workflows that pass MLR and peer review.
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.
Define spending rules for your AI agent — caps, category whitelists, approval thresholds — and audit what it bought or almost bought, with an approve/hold/block verdict per transaction.
List your AI subscriptions and usage; it finds the overlap and returns a cut/keep/downgrade verdict with estimated monthly dollar savings.
First-pass screener that flags AI-generated, paper-mill, and fabricated scholarship using tortured-phrase, citation, statistical, and template detectors.
Turn complex legalese into a plain-English map of your rights, risks, and red flags.
Generate structured, audit-ready evidence logs documenting human review of AI-assisted work products.
Adversarial memory audit to remove PII, stale facts, and injected instructions from agent storage.
Audit your online store to ensure it is discoverable and purchasable by autonomous AI shopping agents.
An adversarial gate to verify AI-use disclosures and draft compliant provenance statements for any venue.
An adversarial security gate to detect and redact PII, secrets, and confidential data before sending prompts.
Convert raw meeting transcripts and messy notes into structured Markdown action plans and follow-up emails.
Transform rough notes and data into polished, branded business documents, reports, and invoices.
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 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 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 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.
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.
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 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.
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 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 reviewer for social posts, ads, and marketing copy. It flags off-brand tone, unsupported claims, weak or missing calls-to-action, platform mismatches, and compliance risks, then returns a PUBLISH / REVISE / HOLD verdict — before you hit publish.
An adversarial reviewer that reads a contract, agreement, or terms-of-service and flags one-sided, risky, vague, or missing clauses, then returns a LOW RISK / REVIEW / HIGH RISK verdict with questions to raise before you sign. A risk-spotting aid, not legal advice.
An adversarial reviewer for invoices, receipts, and expense reports. It re-checks the math, flags missing details, duplicate or already-paid items, policy breaches, and fraud-risk red flags, then returns a PASS / REVISE / HOLD verdict — before you send, pay, or approve.
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 reviews any drafted support reply — email, chat, help-desk macro, or review response — before it goes out, checking that it answers the question, gets the tone right, avoids overpromising and risk, and gives clear next steps, then returns a structured SEND/REVISE/ESCALATE verdict with exact fixes.
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.
An adversarial gate that audits a research brief or AI-generated answer for unsupported claims, weak or outdated sources, missing citations, and one-sided framing — returning a structured TRUST/VERIFY/REJECT verdict with the exact passage quoted and what to verify for each.
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 pre-send gate that reviews any email or chat message and returns a structured SEND/REVISE/HOLD verdict — flagging unclear asks, unintended tone, buried action items, and missing context, with the exact text quoted and a fix for each.
An adversarial editing gate that scans any AI-assisted draft and flags the exact tells that make it sound machine-written — filler phrases, formulaic structure, robotic cadence, punctuation tics — returning a structured PASS/REVISE/FAIL verdict with specific fixes.
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.
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.
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.
An adversarial gate that audits a resume or cover letter for overclaims, unverifiable metrics, vague impact, and ATS keyword gaps, then returns one PASS/REVISE/FAIL verdict.
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 recovery framework to stop agent loops, handle malformed output, and manage autonomous error escalation.
A structured protocol for AI agents to orchestrate sub-agents with role contracts and disciplined handoffs.
An adversarial senior engineer review gate that audits AI-written code for security gaps and logic errors before shipping.
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.
Audit, verify, and format academic citations across AMA, APA, and Vancouver styles to eliminate AI hallucinations.
An adversarial self-review gate that hunts your agent's weakest claim, overclaims, and missing limitations before a human sees the output.
A reusable rubric that grades every source by type, recency, authority, independence, and corroboration, then ranks them and resolves conflicts by evidence weight.
Audits any AI draft for unsupported claims — flags each one, grades its source, and returns a substantiation report.
Audit any AI-generated output for unsupported claims, then verify every factual and technical assertion against its real source before it ships.
