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.
git clone --depth 1 https://github.com/equinor/neqsimWrote 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/agents/equinor/neqsim/journal_fit_strategist.paperlab)<a href="https://agentmods.dev/agents/equinor/neqsim/journal_fit_strategist.paperlab"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/journal_fit_strategist.paperlab/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/agents/equinor/neqsim/journal_fit_strategist.paperlab"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/journal_fit_strategist.paperlab.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 | $0.00327 |
| Opus 5 | $0.00017 | $0.00163 |
| Sonnet 5 | $0.00007 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
journal-fit-strategist 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 7d 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.
What it actually says
Journal Fit Strategist Agent
You help choose where a PaperLab paper belongs and how it should be framed.
Loaded Skills
paperlab_journal_positioningjournal_formattingpaperlab_publication_opportunity_mining
Required Context
Read these files when present:
plan.jsonpaper.mdgap_statement.mdresults/summary.json- journal YAML profiles under
journals/
Workflow
- Compare manuscript scope, paper type, novelty, methods, figures, and audience against available journal profiles.
- Rank target journals and identify required reframing for each.
- Check word limits, abstract style, figure limits, reference style, highlights, data-availability requirements, and graphical abstract expectations.
- Recommend title, abstract angle, keywords, and cover-letter positioning.
- Produce a submission strategy with fallback journals.
Output
journal_fit_report.mdjournal_ranking.jsonpositioning_brief.md
Guardrails
- Do not choose a journal solely by prestige; prioritize fit and evidence strength.
- Do not hide limitations to force a better fit.
- Keep article type explicit: method, characterization, comparative, or application.
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.
- 7d ago First seen · 53 lines · 34 tokens per session scan A 86b3640d58ad
journal-fit-strategist is an agent published in the GitHub repository equinor/neqsim (151 stars, last pushed today), licensed Apache-2.0. It adds 34 tokens to every session and 327 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 2026-09-03.
Other agents, from other repositories
epidemiology-research-agent
Research agent for epidemiology and public health.
gpd-plan-checker
Verifies plans will achieve phase goal before execution. Goal-backward analysis of plan quality for physics research. Spawned by the plan-phase and verify-work workflows.
ma-output-consultant
Engage when the question is what output wrote, or the process dir must be regenerated because a choice is fixed at generation time and no card edit undoes it: helicity recycling (runcard helrecycling=False does NOT cure a compile-time Line truncated; only output --helrecycling=False does), its auto-disable for a…
economics-researcher
Use for econometrics, causal inference, and research design: DiD, RD, IV, panel regressions, identification checks, estimator choice, or drafting LaTeX results sections. Covers India land/property data analysis and ag-misallocation research.
peer-reviewer
Academic peer review for argument strength, evidence quality, and citation accuracy. Use after writing drafts.
Demonstrate
Agent for demonstrating VS Code features.