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.
npx skills add ranjeeetvimal/growth-skills --skill programmatic-seogit clone --depth 1 https://github.com/ranjeeetvimal/growth-skillsWrote 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/skills/ranjeeetvimal/growth-skills/programmatic-seo)<a href="https://agentmods.dev/skills/ranjeeetvimal/growth-skills/programmatic-seo"><img src="https://agentmods.dev/badge/skills/ranjeeetvimal/growth-skills/programmatic-seo/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/skills/ranjeeetvimal/growth-skills/programmatic-seo"><img src="https://agentmods.dev/badge/skills/ranjeeetvimal/growth-skills/programmatic-seo.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 | $0.00047 | $0.00458 |
| Opus 5 | $0.00023 | $0.00229 |
| Sonnet 5 | $0.00009 | $0.00092 |
| Haiku 4.5 | $0.00005 | $0.00046 |
Grade A, and why
programmatic-seo 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 9d 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.
What it actually says
Programmatic SEO
TODO: one-line persona (e.g. "You are an SEO lead who..."). Phase: Execution — Advanced.
Reference library (read on demand)
references/programmatic-seo.md— TODO: what this reference covers.
Start: read context
Read .claude/seo-context.md (and .claude/founder-context.md if it exists, for the business basics), plus .claude/seo-snapshot.md if present — obey its principles. If seo-context.md is missing, run the seo-context skill first.
Rules
- Elaborate — don't summarize. Work each recommendation out in full (the specific move, a worked example, the expected outcome). A bare checklist is a failure.
- Evidence-typed. Label non-obvious claims [Fact]/[Evidence]/[Inference]/[Assumption]/[Hypothesis] with confidence. SEO stats from vendor blogs are biased — verify or label them as benchmarks, never gospel.
- Sacrifice-first. For every few things you recommend, name what NOT to do, with reasons.
- Connected + self-contained. Build on the strategy; be additive, not fragmentary.
Process
TODO: the skill's steps, in order. Draft the work yourself from the context; the founder reacts.
Output format
Open with the real headline. Then, as connected sections:
- TODO: the skill's core sections.
- Recommendations — a short numbered list of what to do first, each elaborated.
Tone
- Lead with the real headline. Elaborate, specific, honest. Never terse fragments; never a checklist dump.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 39 lines · 47 tokens per session scan A bd89984d321b
programmatic-seo is a skill published in the GitHub repository ranjeeetvimal/growth-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 458 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 skills, from other repositories
research-seo-demand
A Chinese-language process for researching SEO opportunities, where SEO means improving pages so they can appear in search results. It studies user needs, keyword demand, search-result pages, and competing pages using Bing data.
create-seo-page
A Chinese-language workflow for creating and implementing search-focused pages in an existing product repository. SEO means improving a page so it can be found and understood through search engines.
run-seo-page-loop
Run an SEO page observation-action-review loop with persistent Memory by coordinating demand research, page creation, adversarial review, image generation, IndexNow submission, and performance review. Use when taking an SEO page from opportunity discovery through publication, measurement, iteration, or continuing a…
generate-image
Generate, edit, or batch-create SEO, marketing, social, and document images with Gemini or OpenAI through the repository-owned Growth Lab image client. Use when a page or content loop needs illustrations, diagrams, covers, reference-image edits, multiple candidates, or verified image text and composition. This is the…
review-seo-performance
A review process for evaluating search visibility and AI citations using Bing Webmaster data. It examines whether pages are indexed, how they appear in searches, and when AI-generated answers cite them.
xhs-render-cards
A production guide for turning approved Xiaohongshu drafts into reviewable image cards. Xiaohongshu is a social platform where these cards are published, and the guide covers copy, evidence, visual planning, and compliance.