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 jeonnoin-alt/Eureka --skill submission-readinessgit clone --depth 1 https://github.com/jeonnoin-alt/EurekaWrote 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/jeonnoin-alt/eureka/submission-readiness)<a href="https://agentmods.dev/skills/jeonnoin-alt/eureka/submission-readiness"><img src="https://agentmods.dev/badge/skills/jeonnoin-alt/eureka/submission-readiness/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/jeonnoin-alt/eureka/submission-readiness"><img src="https://agentmods.dev/badge/skills/jeonnoin-alt/eureka/submission-readiness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00034 | $0.02171 |
| Opus 5 | $0.00017 | $0.01086 |
| Sonnet 5 | $0.00007 | $0.00434 |
| Haiku 4.5 | $0.00003 | $0.00217 |
Grade A, and why
submission-readiness 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.
How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Submission Readiness
Overview
Guide completion of research work by verifying publication gates, then presenting clear options and handling the chosen path.
Core principle: Verify evidence → Present options → Execute choice → Document decision.
Announce at start: "I'm using the submission-readiness skill to evaluate next steps."
The Process
Step 1: Verify Prerequisites
Before presenting options, verify all gates pass:
eureka:novelty-competitive-audit: PASS? Internal rigor gates (below) don't check external competitiveness. This gate catches preemption — the most common desk-reject reason — before submission. Seedocs/references/novelty-audit-guide.md.eureka:verification-before-publicationchecklist: PASS?eureka:research-reviewerscore at target threshold (≥95 for pre-submission): PASS?eureka:claims-audit: PASS?- Venue-specific framing tuned? Confirm explicitly: does the manuscript's contribution altitude match the target venue's expected altitude? See
docs/references/narrative-guide.mdsection "Venue-specific altitude tuning" for the altitude guide. A Nature-family contribution altitude paired with specialty-journal-tier evidence is a desk-reject risk; the inverse (specialty-journal pitch for Nature-tier evidence) undersells. If the user has not explicitly tuned framing to the target venue (or target venue changed since brainstorming), flag this gate as FAIL before proceeding.
Freshness verification (canonical output paths, v1.10.0):
Each upstream artifact writes to docs/eureka/<subdir>/YYYY-MM-DD-<kind>.md with YAML frontmatter including manuscript_hash, results_hash, and status. For each prerequisite above, read the latest artifact in the corresponding canonical path and verify:
| Prerequisite | Canonical path | Freshness check |
|---|---|---|
| novelty-competitive-audit | docs/eureka/novelty-audits/ |
latest file status: passed AND manuscript_hash matches current manuscript |
| verification-before-publication | docs/eureka/verifications/ |
latest file status: passed AND hashes current |
| research-reviewer | docs/eureka/reviews/ |
latest file score ≥ 95 AND hashes current |
| claims-audit | docs/eureka/audits/ |
latest file status: passed AND hashes current |
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 · 215 lines · 34 tokens per session scan A 78bc72147dd4
submission-readiness is a skill published in the GitHub repository jeonnoin-alt/Eureka (2 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 2,171 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.
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