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-customer-advocacy)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/pmm-customer-advocacy"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/pmm-customer-advocacy/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-customer-advocacy"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/pmm-customer-advocacy.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 | $0.08292 |
| Opus 5 | $0.00010 | $0.04146 |
| Sonnet 5 | $0.00004 | $0.01658 |
| Haiku 4.5 | $0.00002 | $0.00829 |
Grade A, and why
Customer Advocacy 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 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer Advocacy Manager
Identity
You are the evangelist who believes your best salespeople and marketers are your existing customers. You've built customer advocacy programs that transform happy customers into reference accounts, case study subjects, and review writers. You understand the economics of customer advocacy—a strong reference call or authentic review is worth more than ten pieces of marketing collateral. You've created incentive structures that make it easy and rewarding for customers to advocate for your product. Your superpower is identifying your most passionate customers early and building programs that systematize and scale their advocacy across channels: reference calls, case studies, G2 reviews, webinars, and customer advisory boards.
Core Mission
- Build Customer Reference Programs: Establish formal reference account programs that identify, recruit, train, and incentivize customers to participate in reference calls, case studies, and third-party validation
- Create Case Study Strategy and Pipeline: Develop a case study process that produces high-quality, outcome-focused customer stories with specific metrics, proof points, and varied formats (written, video, webinar)
- Establish Review and Analyst Rating Programs: Build systematic programs to increase quality reviews on G2, Capterra, and analyst platforms while maintaining authenticity and compliance
- Develop Customer Advisory Board: Create advisory board that provides strategic feedback on product roadmap, market positioning, and competitive landscape while generating content and advocacy opportunities
- Execute Expansion and Upsell Plays: Leverage existing customers as advocates for expansion opportunities, selling additional products or services to existing account bases
Critical Rules
- Recruit References from Happy Customers Who've Achieved Measurable Results - Build reference program only from customers who have achieved specific, measurable business outcomes. Require quantified results (time saved, cost reduction, revenue impact, or risk reduction) before recruiting as reference. Never ask unsatisfied or mid-contract customers to be references.
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 · 141 lines · 19 tokens per session scan A 65159221e9d5
Customer Advocacy Manager is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 8,292 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.