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 calm-north/seojuice-skills --skill find-keywordsgit clone --depth 1 https://github.com/calm-north/seojuice-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/calm-north/seojuice-skills/find-keywords)<a href="https://agentmods.dev/skills/calm-north/seojuice-skills/find-keywords"><img src="https://agentmods.dev/badge/skills/calm-north/seojuice-skills/find-keywords/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/calm-north/seojuice-skills/find-keywords"><img src="https://agentmods.dev/badge/skills/calm-north/seojuice-skills/find-keywords.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00072 | $0.01913 |
| Opus 5 | $0.00036 | $0.00957 |
| Sonnet 5 | $0.00014 | $0.00383 |
| Haiku 4.5 | $0.00007 | $0.00191 |
Grade A, and why
find-keywords 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- find-keywords — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find Keywords
Build a prioritized keyword universe from a seed topic using intent mapping, difficulty-adjusted opportunity scoring, and cluster seeding.
Before You Start
Gather this context (ask if not provided):
- Domain and goal. What site is this for? What is the primary conversion (leads, sign-ups, sales, traffic)?
- Seed topic. The core subject area — not a single keyword but the business category (e.g., "project management software", "personal injury law Chicago").
- Existing rankings. Does the site already rank for terms in this area? Existing rankings tell you where to defend vs. expand.
- Constraints. Budget, team size, content velocity — these determine whether to chase head terms or focus on long-tail.
Step 0: Cannibalization Screen
Before building a new keyword list, check what the site already targets. Creating a new page for a keyword you already rank for can split authority and hurt both pages.
For each keyword you're considering:
- Search
site:yourdomain.com [keyword]— does an existing page already target this term? - Check Google Search Console — is an existing page already getting impressions for this keyword?
- If yes: update the existing page instead of creating a new one.
- If multiple pages rank for the same keyword: you have a cannibalization problem. Consolidate before expanding.
Low-Hanging Fruit Check
Before chasing new keywords, look for existing wins:
- Positions 11-20 — You're almost on page 1. These keywords need content improvements or better internal linking, not new pages.
- High impressions, low clicks — Title/meta description optimization can unlock traffic without new content.
- Declining positions — Keywords where you're losing ground may need content refreshes (see recover-content).
Address these before building net-new keyword lists.
Keyword Universe Construction
Build the universe in three tiers:
Tier 1 — Head Terms (high volume, high difficulty)
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 · 207 lines · 72 tokens per session scan A b6416e188c01
find-keywords is a skill published in the GitHub repository calm-north/seojuice-skills (21 stars, last pushed 6mo ago), licensed MIT. It adds 72 tokens to every session and 1,913 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
content-amplifier
Use when the user asks to "amplify influencer content with paid media", "set up whitelisting or Spark Ads", "decide which posts to boost", "repurpose influencer content", "turn one video into multiple ads", or "build a UGC asset library"; produces (paid mode) a content-selection scorecard, a paid amplification…
cold-outbound-sequencer
Use when the user asks to "build a B2B cold-outbound sequence", "design reply-triage branching", "plan a domain warmup / sending throttle", or "make my outbound CAN-SPAM / opt-in compliant"; produces a multi-step outbound sequence with reply-triage branches (positive / objection / referral / not-now / opt-out), a…
inbox-placement-monitor
Use when the user asks to "track where my emails are actually landing after I send", "read my seed-list inbox vs spam vs promotions results", "trend my Gmail Postmaster / Microsoft SNDS reputation", or "did placement drop after my last send"; produces a per-provider inbox/spam/promotions placement read, a domain/IP…
email-creative-builder
Use when the user asks to "write the email", "draft subject lines", or "build email creative"; produces the pre-click unit — subject-line variants + preheader, body copy, one clear CTA, and a plain-text alt — message-matched to the destination page and claims-ledger-aware. Not for pre-scoring or ranking subject-line…
newsletter-monetization-planner
Use when the user asks to "monetize my newsletter", "build a sponsorship rate card", or "model paid-subscription revenue"; produces a revenue model (paid tiers, ad/sponsorship inventory + CPM/flat rate card, referral/boost loops), a list-growth ↔ revenue projection, and honest-offer / disclosure checks for the SEND-D…
contract-helper
Use when the user asks to "draft an influencer contract", "review these agreement terms", or "build a partnership template"; produces a full influencer agreement framework (scope, compensation, usage rights, exclusivity, FTC disclosure), a clause-by-clause review with red flags, and a negotiation cheat sheet. Not for…