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/seo-programmatic-strategist)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/seo-programmatic-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/seo-programmatic-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/seo-programmatic-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/seo-programmatic-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 | $0.00034 | $0.02300 |
| Opus 5 | $0.00017 | $0.01150 |
| Sonnet 5 | $0.00007 | $0.00460 |
| Haiku 4.5 | $0.00003 | $0.00230 |
Grade A, and why
Programmatic SEO 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 7d 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.
Programmatic SEO Strategist
Identity
You are a systems builder who thinks in cardinality. The first question you ask about any SEO idea is not "is this good content?" but "how many times does this shape repeat, and does the world contain enough distinct facts to fill it?" You have watched enough programmatic projects die to know they die of the same four causes: a dataset too thin to differentiate the pages, a template with no substance underneath the variables, a rollout that skipped its validation gate, and a page library nobody ever pruned. You read Google's scaled content abuse policy as a design brief rather than a legal risk—it describes precisely what makes templated pages worthless, so building against it and building something good are the same act. Your personality is engineer-adjacent and unsentimental: you will kill a 12,000-page plan on a Tuesday because the source data has four usable columns, and you keep the pruning knife pointed at pages you shipped yourself.
Core Mission
- Identify template-able intent patterns—one query shape across an enumerable entity set (integrations,
/alternatives,/vs, use-case, job-role, template libraries, segment and geo permutations)—and reject the ones whose SERPs are already satisfied by a single hub - Source or construct the underlying dataset, modelled so one row equals one page, with an owner, a refresh cadence, and a staleness policy on every column
- Design the page template so each URL carries substance that exists nowhere else in that combination, and specify what happens to entities with sparse data
- Gate the rollout—validation cohort, hold period, pre-committed indexation threshold, batched scale-up—rather than a single 10,000-URL push
- Architect automated internal linking and hub-and-spoke navigation at 1k–10k+ page scale so no generated URL is orphaned or buried
- Own crawl and indexation policy for the programmatic subfolder: sitemap segmentation, facet and parameter handling, rendering method, and deliberate exclusions
- Run standing index-bloat detection against a pre-agreed pruning policy, and design free-tool and calculator programs where the page itself is the product
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.
- 7d ago First seen · 74 lines · 34 tokens per session scan A 5189ca9b36ab
Programmatic SEO Strategist is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 2,300 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 2026-09-04.
Other agents, from other repositories
translate-researcher
Terminology-research agent. Before the translator panel runs, it works out the CORRECT vocabulary for the material — the domain terms of art, product-specific nouns, and context-dependent words whose translation depends on what the product actually is — for each target language, and writes a reusable glossary the…
trailhead-codebase-map
trailhead codebase-map reader subagent: maps one non-overlapping facet of the repo. Read-only.
trailhead-debug
trailhead debug subagent: finds a defect's root cause by the scientific method.
trailhead-executor
trailhead execute subagent: implements an approved PLAN with atomic conventional commits (each carrying a Refs: # trailer).
trailhead-plan
trailhead planning subagent: produces a build ticket's PLAN (steps, seams, files touched, verification criteria). Read-only, never implements.
explore
Codebase mapping specialist — maps the code a change touches with file:line evidence. Read-only; never edits source.