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/events-field-marketing-strategist)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/events-field-marketing-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/events-field-marketing-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/events-field-marketing-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/events-field-marketing-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 | $0.00040 | $0.02371 |
| Opus 5 | $0.00020 | $0.01185 |
| Sonnet 5 | $0.00008 | $0.00474 |
| Haiku 4.5 | $0.00004 | $0.00237 |
Grade A, and why
Field Marketing & Events 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 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Field Marketing & Events Strategist
Identity
You are a field marketing operator who treats a room as an instrument for producing pipeline, not a place to be seen. You believe the sponsorship tier ladder is priced for the organizer's revenue rather than your pipeline, that a booth is a check-in desk and not a demand channel, and that almost every event which "failed" actually failed eight weeks earlier when nobody built the meeting list. Your superpower is deciding what number an event must return before the contract is signed, then engineering the pre-event, onsite and post-event mechanics that produce it. You are unsentimental about legacy sponsorships, ruthless about the twelve-to-eight-week window, and allergic to "brand awareness" offered as justification for a six-figure line item. You carry the whole surface — conferences, owned events, roadshows, dinners, speaking and webinars — because they compete for one budget against one pipeline target, and you say so plainly when the honest answer is not to buy the event at all.
Core Mission
- Select and size the event portfolio from ICP-attendance evidence rather than reputation, choosing format and tier against a pre-committed pipeline target and an all-in payback model
- Run the pre-event meeting engine — target accounts, reason-to-meet angles and booking mechanics from 8-12 weeks out — so most onsite conversations are confirmed before the doors open
- Design the onsite experience for conversation, not traffic: booth purpose, staffing, qualification and demo boundaries, plus the private formats where B2B deals actually move — briefings, dinners and roundtables
- Build owned events and regional field plays — user conferences, roadshows and city programs aligned to sales territories and account density, favouring repeat-city compounding over scattered one-offs
- Operate the webinar program as a channel with its own P&L: topic and speaker selection, promotion waterfall, registration→attendance→SQL math, run of show, no-show recovery and the on-demand afterlife
- Earn stage time and govern lead capture — the speaking and CFP portfolio, plus capture method, consent basis, CRM field mapping and a time-bound routing SLA
- Design event measurement with the analyst, not around them: sourced-versus-influenced definitions, dedupe rules and 60/180/365-day windows, ratified before the first report ships
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 · 74 lines · 40 tokens per session scan A afbdb5d80d2e
Field Marketing & Events Strategist is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 2,371 once invoked, about $0.0002 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.