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 felipelobomotta-blip/book-genesis-v4 --skill literary-agent-panelgit clone --depth 1 https://github.com/felipelobomotta-blip/book-genesis-v4Wrote 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/felipelobomotta-blip/book-genesis-v4/literary-agent-panel)<a href="https://agentmods.dev/skills/felipelobomotta-blip/book-genesis-v4/literary-agent-panel"><img src="https://agentmods.dev/badge/skills/felipelobomotta-blip/book-genesis-v4/literary-agent-panel/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/felipelobomotta-blip/book-genesis-v4/literary-agent-panel"><img src="https://agentmods.dev/badge/skills/felipelobomotta-blip/book-genesis-v4/literary-agent-panel.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00047 | $0.00777 |
| Opus 5 | $0.00023 | $0.00388 |
| Sonnet 5 | $0.00009 | $0.00155 |
| Haiku 4.5 | $0.00005 | $0.00078 |
Grade A, and why
literary-agent-panel 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 13d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literary Agent Panel
This skill stress-tests a book from the market side. It does not write chapters. It decides whether a real agent, editor, bookseller, or target reader would keep reading, ask for pages, buy, recommend, or reject.
Use after:
- book idea/concept exists
- market research exists or is being questioned
- first 10 pages need commercial review
- full draft needs submission readiness review
- editorial package needs agent/editor feedback
- Book Genesis reaches audit, final score, or delivery
Panel Roles
Run 4 voices, with separate verdicts:
- Literary Agent: query hook, category clarity, comp fit, sellability, submission risk.
- Acquiring Editor: manuscript strength, list fit, editorial labor, positioning.
- Bookseller/Category Buyer: shelf fit, cover/copy expectations, reader promise.
- Target Reader: opening pull, emotional promise, readability, recommendability.
Review Inputs
Read only available materials:
PROJECT_STATE.yamlresearch/market-research.mdfoundation/positioning.md- opening pages or chapter files
- synopsis/query/cover copy
evaluations/genesis-score.md
If a required market artifact is missing, flag it as a blocker instead of inventing confidence.
Verdict Scale
Use one verdict per panel role:
PASS: would continue, request, acquire, stock, or recommend.FLAG: viable but needs specific fixes.BLOCK: would reject or abandon for commercial/product reasons.
Overall verdict is the weakest role verdict. One BLOCK means not market-ready.
Evaluation Criteria
Score 1-10 with short evidence:
- Category clarity
- Reader promise
- Opening-page pull
- Voice distinctiveness
- Comp-title fit
- Commercial pacing
- Emotional stakes
- Shelf/thumbnail fit
- Submission package strength
- Launch/platform leverage
Output Format
Write to evaluations/agent-panel.md when inside a project.
# Literary Agent Panel
## Overall Verdict
[PASS/FLAG/BLOCK] - [one sentence why]
## Panel Verdicts
| Role | Verdict | Reason |
|---|---|---|
| Literary Agent | ... | ... |
| Acquiring Editor | ... | ... |
| Bookseller/Buyer | ... | ... |
| Target Reader | ... | ... |
## Scores
| Criterion | Score | Evidence |
|---|---:|---|
| Category clarity | ... | ... |
| Reader promise | ... | ... |
| Opening-page pull | ... | ... |
| Voice distinctiveness | ... | ... |
| Comp-title fit | ... | ... |
| Commercial pacing | ... | ... |
| Emotional stakes | ... | ... |
| Shelf/thumbnail fit | ... | ... |
| Submission package strength | ... | ... |
| Launch/platform leverage | ... | ... |
## Top Rejection Risks
1. ...
2. ...
3. ...
## Fix Before Submission
1. ...
2. ...
3. ...
## Best Market Angle
[Specific positioning angle]
## Query/Package Notes
[What to change in logline, synopsis, comps, cover brief, or author bio]
What ships with it
1 file 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.
- 13d ago First seen · 122 lines · 47 tokens per session scan A f64a06caec62
literary-agent-panel is a skill published in the GitHub repository felipelobomotta-blip/book-genesis-v4 (114 stars, last pushed 7d ago), licensed MIT. It adds 47 tokens to every session and 777 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 2026-08-30.
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