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 Boom5426/Nature-Paper-Skills --skill submission-auditgit clone --depth 1 https://github.com/Boom5426/Nature-Paper-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/boom5426/nature-paper-skills/submission-audit)<a href="https://agentmods.dev/skills/boom5426/nature-paper-skills/submission-audit"><img src="https://agentmods.dev/badge/skills/boom5426/nature-paper-skills/submission-audit/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/boom5426/nature-paper-skills/submission-audit"><img src="https://agentmods.dev/badge/skills/boom5426/nature-paper-skills/submission-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 18 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 19 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00045 | $0.01106 |
| Opus 5 | $0.00023 | $0.00553 |
| Sonnet 5 | $0.00009 | $0.00221 |
| Haiku 4.5 | $0.00005 | $0.00111 |
Grade A, and why
submission-audit 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Submission Audit
Overview
Use this skill for late-stage manuscript QA. It is narrower than manuscript-optimizer: do not use it to redesign a paper from scratch. Use it when the structure mostly exists and the main task is to catch the failures that survive normal revision cycles.
The core rule is simple: never treat a clean-looking manuscript as submission-ready until the front half, figures, legends, methods, supplement, and venue expectations have been checked against each other.
Use the helper script when you want a fast local pass over figure citations:
python ~/.codex/skills/submission-audit/scripts/check_figure_refs.py path/to/manuscript.md
# Claude Code (global install): replace ~/.codex/skills with ~/.claude/skills
# Claude Code (project-local install): replace ~/.codex/skills with .claude/skills
When To Use
Use this skill when:
- The draft is near submission, resubmission, or internal circulation
- Figures and legends are mostly finalized
- The paper needs a last pass for overclaim, missing references, or cross-section drift
- A revision round compressed the prose and may have dropped supporting detail
- The supplement exists and may no longer match the main text
Do not use this skill for:
- Early brainstorming
- Initial section drafting
- Citation discovery from scratch
- Heavy structural rewrites that belong in
manuscript-optimizer
Audit Order
- Front-half alignment
- check title, abstract, introduction, and discussion against the actual Results
- flag any claim stronger than the downstream evidence
- Figure and legend coverage
- verify that every main-figure panel and supplementary panel cited in the paper actually exists
- verify that panel letters, metrics, datasets, and numbers agree across figure, legend, and main text
- Methods and supplement anchoring
- check that methods are cited where needed from Results
- check that supplementary figures, tables, and notes are referenced precisely enough to be usable
- Terminology and metrics
- enforce one canonical name per concept
- check abbreviations, metric naming, domain-shift labels, cohort names, and model names
- Risk pass
- overclaim
- evidence gaps
- unsupported mechanism language
- venue-specific style drift
- Nature Portfolio preflight when relevant
- reporting-summary readiness
- data and code availability statements
- accession IDs, repositories, and disclosure of sharing restrictions
- image-integrity and raw-data readiness
- AI-use disclosure
- preprint, related-manuscript, and conference-proceedings disclosure
- Reviewer-side rejection pass
- contribution sufficiency
- writing clarity and reproducibility
- empirical strength
- evaluation completeness
- design or framework soundness
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 · 116 lines · 45 tokens per session scan A 78ae16317630
submission-audit is a skill published in the GitHub repository Boom5426/Nature-Paper-Skills (490 stars, last pushed 7d ago), licensed MIT. It adds 45 tokens to every session and 1,106 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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