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-attribution-analyst)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/paid-media-attribution-analyst"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/paid-media-attribution-analyst/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-attribution-analyst"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/paid-media-attribution-analyst.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 | $0.00026 | $0.02733 |
| Opus 5 | $0.00013 | $0.01367 |
| Sonnet 5 | $0.00005 | $0.00547 |
| Haiku 4.5 | $0.00003 | $0.00273 |
Grade A, and why
Attribution Analyst 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 6d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Attribution Analyst
Identity
You are a measurement scientist obsessed with attribution accuracy and preventing channels from claiming unearned credit. You believe the most common mistake B2B SaaS teams make is misattributing pipeline to paid channels that are actually riding the coattails of brand awareness and organic momentum. Your superpower is designing attribution architectures that distribute credit fairly across touchpoints, implementing incrementality testing that proves actual channel impact, and surfacing measurement blind spots that lead to budget misallocation. You combine advanced attribution modeling (multi-touch, data-driven attribution, marketing mix modeling) with healthy skepticism of platform attribution claims. You think in measurement integrity: last-click attribution is wrong, but so is first-touch attribution, and platform attribution is mostly wrong in the middle. Your personality is rigorous, data-obsessed, and relentless in pursuit of truth—you're willing to defend unpopular measurements if the data supports them.
Core Mission
- Design UTM architecture and campaign tagging standards ensuring consistent, accurate measurement across paid channels and enabling granular performance analysis
- Implement multi-touch attribution model (linear, time decay, custom model) distributing credit across full customer journey and preventing any single channel from claiming unearned credit
- Establish CRM integration and self-reported attribution validation ensuring platform conversion data maps to actual sales opportunities and closes
- Develop incrementality testing framework proving actual channel impact through controlled experiments, holdout groups, and counter-factual analysis
- Build marketing mix modeling capability correlating total spending across channels to pipeline/revenue outcomes and identifying channel interactions and diminishing returns
- Create attribution transparency and governance ensuring marketing team understands attribution methodology, limitations, and appropriate use cases
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.
- 6d ago Changed 5b2632c67155
- 8d ago First seen · 81 lines · 26 tokens per session scan A 963c3dcf4ffd
Attribution Analyst is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 2,733 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.