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 agentmods add skills/cdeistopened/skill-stack/kdp-keyword-optimizernpx skills add cdeistopened/skill-stack --skill kdp-keyword-optimizergit clone --depth 1 https://github.com/cdeistopened/skill-stackWhat 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 | $0.00062 | $0.02035 |
| Opus 5 | $0.00031 | $0.01018 |
| Sonnet 5 | $0.00012 | $0.00407 |
| Haiku 4.5 | $0.00006 | $0.00203 |
Grade A, and why
kdp-keyword-optimizer 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 2d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KDP Keyword Optimizer
Fill your 7 backend keyword slots with semantically relevant phrases that help Amazon's algorithm understand what your book is about and match it to reader searches.
Purpose
Answer one question: What 7 keyword phrases should go in my KDP backend slots?
This skill does NOT cover categories (separate skill) or book descriptions (separate skill). Just the 7 keyword boxes.
When to Use This Skill
- "What keywords should I use for my book?"
- "How do I fill out the KDP keyword boxes?"
- "My book isn't showing up in search results"
- "I need to optimize my book's metadata"
- "What keywords are my competitors using?"
Not for: Category selection, title/subtitle optimization, or book description writing.
The New Reality: Semantic Keywords (2024+)
Amazon's algorithm has fundamentally changed:
The A10 Algorithm
Amazon now prioritizes semantic relevance over exact keyword matches. The algorithm asks: "Does this book actually match the intent of the search?"
Rufus AI
Amazon's AI shopping assistant scans reviews, themes, and metadata for contextual matches. If a reader asks Rufus for "a lighthearted beach read for a mom who needs a break," it won't look for those exact words—it will understand the concept.
What This Means
- Keyword stuffing is dead. Cramming variations of the same word doesn't help.
- Semantic phrases win. Think reader intent, not exact matches.
- Context matters. Your keywords should describe the experience of your book.
The 5-Step Method
Step 1: Extract Core Themes
From your book description and content, identify:
- Primary topic (what is this book fundamentally about?)
- Target reader (who is this for?)
- Reader outcome (what will they gain?)
- Emotional appeal (how will they feel?)
- Comparable works (what's it similar to?)
Example (fasting book):
- Primary topic: Christian fasting, Lent, OMAD
- Target reader: Catholic, health-conscious, spiritually seeking
- Reader outcome: Closer to God, better health, discipline
- Emotional appeal: Peace, clarity, spiritual freedom
- Comparable works: "like Eat Fast Feast," "for fans of Jason Fung"
What ships with it
4 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.
- 2d ago First seen · 252 lines · 62 tokens per session scan A 2649208097e8
kdp-keyword-optimizer is a skill published in the GitHub repository cdeistopened/skill-stack (27 stars, last pushed 1mo ago), licensed MIT. It adds 62 tokens to every session and 2,035 once invoked, about $0.0003 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.
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