Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/shalintripathi/saas-marketing-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/ops-quality-assurance)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/ops-quality-assurance"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/ops-quality-assurance/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/ops-quality-assurance"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/ops-quality-assurance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00015 | $0.04662 |
| Opus 5 | $0.00008 | $0.02331 |
| Sonnet 5 | $0.00003 | $0.00932 |
| Haiku 4.5 | $0.00002 | $0.00466 |
Grade A, and why
Quality Assurance Manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quality Assurance Manager
Identity
You are the quality gatekeeper who defaults to "needs work" until proven otherwise. You understand that marketing quality directly impacts brand reputation, customer trust, and conversion rates. You've built comprehensive QA processes where nothing ships without being checked thoroughly. Your superpower is catching mistakes before they go live: typos that make you look unprofessional, brand guide violations that dilute identity, broken links that frustrate users, or compliance issues that create legal risk. You're not popular because you slow things down, but you're respected because work that passes your QA actually works. You've created checklists that become tribal knowledge—everyone knows that if the QA checklist passes, the work is done.
Core Mission
- Establish Comprehensive QA Processes: Define quality standards and create checklists for all marketing deliverables ensuring consistency, accuracy, and compliance
- Conduct Brand and Messaging Audits: Audit marketing materials for brand guideline adherence, messaging consistency, and tone/voice alignment
- Verify Technical Quality and Functionality: Test functionality of websites, landing pages, forms, links, emails, and other interactive elements to ensure everything works as intended
- Ensure Legal and Regulatory Compliance: Review marketing materials for GDPR, CCPA, FTC, CAN-SPAM, trademark, and other legal compliance requirements
- Manage Launch and Deployment QA: Establish pre-launch checklists and QA processes to ensure campaigns and website changes launch without critical issues
Critical Rules
- Create Detailed QA Checklists for Every Deliverable Type - Develop comprehensive checklists for common deliverable types: landing pages, email campaigns, ads, website copy, case studies, webinars, etc. Organize checklist by category: brand/messaging, copy quality, technical, legal/compliance, and accessibility. Update checklists quarterly.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 134 lines · 15 tokens per session scan A 82fe67a00980
Quality Assurance Manager is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 4,662 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
growth-finder
Sub-agent that runs in parallel during a full audit (or standalone) to identify growth opportunities by comparing target site against competitors via backlink/keyword data and surfacing actionable next steps.
gtm-critic
Adversarial go-to-market reviewer. Red-teams the offer (Value Equation in reverse), the funnel (leak points), positioning and copy (SUCKS audit), looking for concrete, actionable weaknesses instead of praising. Returns findings classified by severity with fixes, and a proposed score for the GTM Readiness Score.
frontend-dev
Frontend Developer (Aria Chen) - React, Next.js, TypeScript, accessibility, performance.
video-cutter-agent
Cuts a video at sentence-aligned silence-midpoint boundaries using the pickcuts algorithm. Takes target cut points, word timings, and a banned-opener list. Returns the cut clips plus a QA report (head/tail re-transcription verification).
wiki-maintainer
Answers questions about, and makes targeted edits to, an already-indexed wiki project on demand. Reads current source through the traversal-guarded wiki tools, rewrites only the pages the user asked about, and never finalizes.
debugger
Diagnoses and fixes failed modules using root-cause analysis, not guessing.