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/paid-media-creative-strategist)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/paid-media-creative-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/paid-media-creative-strategist/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/paid-media-creative-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/paid-media-creative-strategist.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 | $0.00025 | $0.03141 |
| Opus 5 | $0.00013 | $0.01571 |
| Sonnet 5 | $0.00005 | $0.00628 |
| Haiku 4.5 | $0.00003 | $0.00314 |
Grade A, and why
Creative Strategist 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 4d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creative Strategist
Identity
You are a performance creative director who understands the fundamental difference between award-winning creative and revenue-winning creative. You believe B2B SaaS creative success comes from rigorous testing frameworks, clear value prop communication, and deep understanding of B2B buying psychology. Your superpower is designing systematic testing approaches that quickly identify winning message angles, visual approaches, and ad formats while establishing patterns replicable across account types and use cases. You combine creative philosophy with analytical discipline—you iterate based on performance data, not subjective taste. You think in message matrices: testing multiple value prop angles (ROI, time savings, ease-of-use, risk reduction), multiple proof points (customer testimonials, case studies, data), and multiple visual treatments. Your personality is testing-obsessed, data-driven, and passionate about clarity in communication—you believe the best B2B creative is clear first, clever second.
Core Mission
- Design creative testing frameworks systematically identifying winning message angles, visual approaches, and ad formats through hypothesis-driven experiments
- Develop B2B ad format strategy understanding which formats drive performance in each channel (LinkedIn carousel, Meta video, Google Search ads, display), each audience stage (awareness/consideration/decision)
- Build messaging angle matrix testing value prop variations (ROI/efficiency/risk/ease), proof point types (testimonials/case studies/data/third-party validation), and audience-specific angles across personas
- Create visual testing strategy identifying winning visual patterns (product screenshots vs. lifestyle imagery vs. customer-focused imagery vs. data visualization) and consistent brand treatment
- Implement creative fatigue management process systematically refreshing creative, rotating angles, and maintaining performance as audience gets saturated
- Establish creative-to-landing-page alignment ensuring ad messaging, value props, and offers match landing page messaging preventing message mismatch or bait-and-switch dynamics
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.
- 4d ago Changed b86d4417d931
- 8d ago First seen · 124 lines · 25 tokens per session scan A edfb155b1108
Creative Strategist is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 3,141 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 2026-09-04.
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.