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 eniktab/scientific-paper-writer --skill journal-intelligencegit clone --depth 1 https://github.com/eniktab/scientific-paper-writerWrote 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/eniktab/scientific-paper-writer/journal-intelligence)<a href="https://agentmods.dev/skills/eniktab/scientific-paper-writer/journal-intelligence"><img src="https://agentmods.dev/badge/skills/eniktab/scientific-paper-writer/journal-intelligence/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/eniktab/scientific-paper-writer/journal-intelligence"><img src="https://agentmods.dev/badge/skills/eniktab/scientific-paper-writer/journal-intelligence.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 | $0.00111 | $0.01426 |
| Opus 5 | $0.00056 | $0.00713 |
| Sonnet 5 | $0.00022 | $0.00285 |
| Haiku 4.5 | $0.00011 | $0.00143 |
Grade A, and why
journal-intelligence 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Journal Intelligence
Fetches live, current submission requirements for any scientific journal before writing begins. Journal guidelines, word limits, AI authorship policies, and LaTeX templates change without notice — this skill always retrieves the authoritative current version rather than relying on cached or hardcoded information.
Run this before every manuscript session. The output (journal_profile.yaml) becomes the single source of truth for all formatting decisions in the scientific-writing skill and any other writing tools.
When to Use
- Before starting any manuscript, letter, review, or methods paper
- When you need to know a journal's current word limits, figure limits, or abstract format
- To get the exact AI authorship disclosure language a journal requires
- To download the current LaTeX template before writing
- To check desk-rejection criteria before investing time in a submission
Requirements: This skill requires WebSearch and WebFetch to be enabled in the agent's tool set. It cannot fetch live guidelines without these tools. If they are unavailable, see the fallback behavior below.
What It Does
Step 1 — Locate Author Guidelines
Searches and fetches the journal's official submission/author guidelines page.
Example URL patterns to try (publisher structures vary — these are starting points, not authoritative):
- Nature family:
https://www.nature.com/[journal]/submission-guidelines - Elsevier:
https://www.elsevier.com/journals/[journal]/[issn]/guide-for-authors - Cell Press:
https://www.cell.com/[journal]/authors - PLOS:
https://journals.plos.org/[journal]/s/submission-guidelines - Wiley, Springer, ACS, RSC, IEEE, ACM — searched via WebSearch
If the pattern-based URL fails, fall back to a direct WebSearch for "[journal name] author guidelines submission".
Step 2 — Extract and Store Requirements
Extracts all format requirements into journal_profile.yaml:
journal: ""
article_type: ""
guidelines_url: ""
guidelines_fetched: "" # date fetched
# Length limits
main_text_limit: "" # words; what is excluded?
abstract_limit: "" # words; structured or unstructured?
abstract_sections: "" # required section labels if any
methods_limit: ""
figure_limit: ""
figure_legend_limit: ""
reference_limit: ""
supplementary: ""
# Format
citation_style: "" # Vancouver numbered / Author-date / etc.
reference_format_example: ""
section_order: ""
methods_placement: "" # inline / online / after references
special_elements: "" # Key Resources Table, Significance Statement, eTOC, etc.
# AI policy
ai_policy_summary: ""
ai_disclosure_required: ""
ai_tools_declaration_format: ""
ai_tools_declaration_location: ""
# Template
latex_template_url: ""
latex_template_notes: ""
# Editorial
acceptance_rate: ""
desk_rejection_criteria: ""
editorial_priorities: ""
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 · 171 lines · 111 tokens per session scan A 47e32e429814
journal-intelligence is a skill published in the GitHub repository eniktab/scientific-paper-writer (29 stars, last pushed 5mo ago), licensed MIT. It adds 111 tokens to every session and 1,426 once invoked, about $0.0006 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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