What is growth-finder?

A sub-agent that compares a website with its competitors using backlink and search-keyword data. It identifies topics and search terms where competitors perform better.

Use it to find missing keywords, backlink opportunities, and suggested next steps for a website.

It turns scattered competitor data into a prioritized list of possible ways to improve a website's growth.

growth-finder — Agent for Claude Code by metawhisp

Install

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.

Clone the repo

git clone --depth 1 https://github.com/metawhisp/amazing-seo-skill

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/metawhisp/amazing-seo-skill/growth-finder/github.svg)](https://agentmods.dev/agents/metawhisp/amazing-seo-skill/growth-finder)

Your own site

<a href="https://agentmods.dev/agents/metawhisp/amazing-seo-skill/growth-finder"><img src="https://agentmods.dev/badge/agents/metawhisp/amazing-seo-skill/growth-finder/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/metawhisp/amazing-seo-skill/growth-finder"><img src="https://agentmods.dev/badge/agents/metawhisp/amazing-seo-skill/growth-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 784 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00784
Opus 5	$0.00020	$0.00392
Sonnet 5	$0.00008	$0.00157
Haiku 4.5	$0.00004	$0.00078

Measured 11d ago against content hash 0e498896c125, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

growth-finder 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 11d 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.

agents/growth-finder.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

growth-finder — competitor-gap analyst

You are a specialist sub-agent. Your job: given a target domain and (optionally) a competitor list, return a prioritized list of growth opportunities the target should pursue.

Inputs you receive

target_domain (required)
competitors (optional list; if absent, discover top 5 by keyword overlap)
industry (optional; auto-detect from target homepage if absent)
top_n (default 20)

Workflow

Verify access to backlink/keyword data layer. Check integrations/ahrefs.md and confirm tool availability. If unavailable, degrade to L0 reasoning + WebFetch — flag results as confidence:hypothesis.
Competitor discovery (if not provided).
- Pull top 5 organic competitors by keyword overlap.
- Drop generic mega-sites (wikipedia.org, reddit.com, youtube.com) unless they are direct industry competitors.
- Present discovered list to user for confirmation before deep analysis.
Keyword gap pull.
- For each competitor, fetch keywords where they rank ≤10 but target ranks
  
  20 or is unranked.
- Pull volume, KD (keyword difficulty), intent, current target rank, competitor ranks (across all confirmed competitors).
Top-pages pull.
- For each competitor, fetch top 30 pages by organic traffic.
- Classify: comparison ("X vs Y"), alternatives ("alternatives to X"), how-to, glossary, listicle, calculator/tool, programmatic template.
- Flag types target is missing entirely.
Opportunity scoring.
- impact_score = volume × max(0, 0.3 - estimated_ctr_at_current_rank)
- effort_score: existing-content-rewrite=1, new-page=3, programmatic=5
- Final priority = impact_score / effort_score
- Tie-breaker: lower KD first
Quality gate. Drop:
- KD > 80 if target DR < competitor DR by ≥10 points
- Branded competitor keywords ("competitor login", "competitor pricing")
- Topics violating references/quality-gates.md
- Programmatic templates >50 pages without industry permission

Read the full file on GitHub · 88 lines

Changes

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.

11d ago First seen · 88 lines · 40 tokens per session scan A 0e498896c125

Subscribe to this mod's changes

growth-finder is an agent published in the GitHub repository metawhisp/amazing-seo-skill (11 stars, last pushed 16d ago), licensed Apache-2.0. It adds 40 tokens to every session and 784 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.

Analytics and metrics Marketing and SEO aeo ai-overviews ai-seo answer-engine-optimization anthropic claude

ce-seo-aeo

Use to optimize a draft for search and AI answer engines - title/meta length, answer capsule, internal links, schema - ce-produce pipeline step 4. Example - user says "SEO pass on this draft" -> run this agent with the profile path, draft path, and the site's sitemap URL.

shalintripathi/organic-os · 67 tokens

ce-editor

Use for the final editor-in-chief pass on a verified draft - trims flab, confirms the capsule answers the query, proposes headlines, gives the publish verdict - ce-produce pipeline step 6. Example - user says "final edit this draft" -> run this agent with the draft path.

shalintripathi/organic-os · 62 tokens

analytics-reporting-chief

Use to generate the weekly or monthly performance narrative from GA4/GSC data - WoW/MoM deltas, anomalies, plain-language reporting. Reads the organic-os site profile for context. Example - user says "summarize this week's organic performance" -> run this agent with the profile path and site URL.

shalintripathi/organic-os · 69 tokens

entity-schema-engineer

Use to audit and generate structured data - JSON-LD for Organization/Article/FAQ, schema validity checks. Reads the organic-os site profile for context. Example - user says "does example.com have valid schema" -> run this agent with the profile path and site URL.

shalintripathi/organic-os · 60 tokens

aeo-geo-optimizer

Use to evaluate and improve answer-engine readiness - answer capsules, extractable structure, freshness, AI-crawler access. Reads the organic-os site profile for context. Example - user says "is example.com ready to be cited by ChatGPT" -> run this agent with the profile path and site URL.