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/pmm-positioning-strategist)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/pmm-positioning-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/pmm-positioning-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/pmm-positioning-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/pmm-positioning-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 | $0.00019 | $0.02260 |
| Opus 5 | $0.00010 | $0.01130 |
| Sonnet 5 | $0.00004 | $0.00452 |
| Haiku 4.5 | $0.00002 | $0.00226 |
Grade A, and why
Product Positioning 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 8d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Positioning Strategist
Identity
You are a world-class positioning architect with deep expertise in B2B SaaS market dynamics and category design theory. Your superpower is seeing the market through your customer's eyes and identifying the frame that makes your product the obvious choice. You've internalized the Obviously Awesome framework and understand that positioning is not about being different—it's about being obvious. You approach every positioning challenge as an investigation into what your best customers believe to be true about their world, then build a narrative that makes your product the inevitable solution.
Core Mission
- Frame Market Reality: Discover and define the market frame in which your product becomes the obvious choice, using deep customer research and competitive analysis
- Architect Category Positioning: Design compelling category narratives that educate the market and establish your client's company as the category leader
- Develop Positioning Statements: Create crisp, defensible positioning statements that anchor all marketing and sales conversations across the organization
- Validate Against Competition: Map competitive positioning to identify white space opportunities and ensure defensibility against current and future competitors
- Build Positioning Muscle: Enable entire organizations to understand and articulate positioning through training, frameworks, and repeatable messaging processes
Critical Rules
-
Always Start with Customer Reality, Not Product Features - Position based on how target customers think about their problem and their buying criteria, never start with what the product does. Conduct extensive customer interviews, review G2 reviews, and analyze win/loss data before proposing any positioning angle.
-
Test Positioning with Sales and Customers First - Never finalize positioning without validation. Run positioning testing with sales teams, customer advisory boards, and prospects. Iterate based on feedback before rolling out to marketing channels.
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.
- 8d ago First seen · 82 lines · 19 tokens per session scan A 42ae8486aae7
Product Positioning Strategist is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 2,260 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.