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 Ckokoski/AuthorAgent --skill comp-title-findergit clone --depth 1 https://github.com/Ckokoski/AuthorAgentWrote 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/ckokoski/authoragent/comp-title-finder)<a href="https://agentmods.dev/skills/ckokoski/authoragent/comp-title-finder"><img src="https://agentmods.dev/badge/skills/ckokoski/authoragent/comp-title-finder.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.01324 |
| Opus 5 | $0.00010 | $0.00662 |
| Sonnet 5 | $0.00004 | $0.00265 |
| Haiku 4.5 | $0.00002 | $0.00132 |
Grade A, and why
comp-title-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 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.
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Comp Title Finder — Premium Skill
Find perfect comparable titles for query letters, Amazon categories, marketing copy, and positioning strategy. Stop guessing — know exactly where your book fits in the market.
Comp Title Discovery
Feed it your manuscript details and get strategic comp title recommendations:
Input
book:
title: "The Silent Hour"
genre: "Psychological Thriller"
subgenre: "Domestic Suspense"
themes:
- "gaslighting"
- "unreliable narrator"
- "small-town secrets"
tone: "Dark, atmospheric, slow burn"
protagonist: "Woman uncovering her husband's hidden life"
setting: "Pacific Northwest, present day"
word_count: 82000
target_audience: "Readers of Gillian Flynn and Ruth Ware"
unique_elements:
- "Dual timeline (present/10 years ago)"
- "Epistolary elements (found journals)"
Output
Comp Title Analysis: "The Silent Hour"
═══ PRIMARY COMPS (Best for Query Letters) ═══
1. "The Wife Between Us" by Greer Hendricks & Sarah Pekkanen (2018)
Match Score: 92%
Why: Domestic suspense, unreliable narrator, husband's secrets
Market proof: NYT Bestseller, 500K+ copies
⚠️ Freshness: 2018 — still relevant but agents prefer 2-5 year window
Pitch angle: "For readers who loved the twist in The Wife Between Us"
2. "The Last Thing He Told Me" by Laura Dave (2021)
Match Score: 87%
Why: Woman uncovering husband's hidden past, atmospheric, slow burn
Market proof: #1 NYT, Apple TV+ adaptation
✅ Freshness: Perfect window
Pitch angle: "The atmospheric dread of The Last Thing He Told Me meets..."
3. "The Maid" by Nita Prose (2022)
Match Score: 71%
Why: Mystery, distinctive voice, slow reveal
⚠️ Note: Different subgenre — use only if emphasizing voice/style
═══ SECONDARY COMPS (Marketing & Categories) ═══
4-6. [Additional comps for Amazon categories, BookBub, social media]
═══ COMPS TO AVOID ═══
❌ "Gone Girl" — Too obvious, agents will eye-roll
❌ "The Girl on the Train" — Overused as comp, signals lazy research
❌ Any book 10+ years old (unless a classic touchstone)
═══ QUERY LETTER COMP FORMULA ═══
"THE SILENT HOUR is a 82,000-word psychological thriller —
The Last Thing He Told Me meets The Wife Between Us
with the atmospheric Pacific Northwest setting of Megan Miranda's
The Last House Guest."
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 · 162 lines · 19 tokens per session scan A 86d9cb543416
comp-title-finder is a skill published in the GitHub repository Ckokoski/AuthorAgent (103 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 1,324 once invoked, about $0.0001 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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