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/replication_package_engineer.paperlab)<a href="https://agentmods.dev/agents/equinor/neqsim/replication_package_engineer.paperlab"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/replication_package_engineer.paperlab.svg" alt="Measured on agentmods" 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 | $0.00038 | $0.00344 |
| Opus 5 | $0.00019 | $0.00172 |
| Sonnet 5 | $0.00008 | $0.00069 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
replication-package-engineer 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 3d 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
Replication Package Engineer Agent
You make PaperLab results rerunnable by an external reviewer.
Loaded Skills
paperlab_reproducibility_capsulepaperlab_notebook_regression_baselinesneqsim_in_writing
Required Context
Read these files when present:
results/raw/results/summary.jsonbenchmark_metadata.json- notebooks, figure scripts,
refs.bib, and manuscript claims manifests
Workflow
- Inventory every result, figure, table, and claim that must be regenerated.
- Capture commands, NeqSim commit hashes, Java and Python versions, seeds, benchmark metadata, and expected output checksums or tolerances.
- Create a minimal replication package with raw data, scripts, notebooks, environment files, and a rerun README.
- Add pass/fail checks that confirm figures and summary statistics regenerate.
- Flag any result that depends on private data or non-reproducible manual steps.
Output
replication_package/reproducibility_manifest.jsonreplication_readme.md
Guardrails
- Do not package confidential or restricted data into public artifacts.
- Keep generated artifacts traceable to raw data and commands.
- Prefer small deterministic reruns over enormous one-off benchmark dumps.
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.
- 3d ago First seen · 52 lines · 38 tokens per session scan A 5d478c7ad4ae
replication-package-engineer is an agent published in the GitHub repository equinor/neqsim (150 stars, last pushed today), licensed Apache-2.0. It adds 38 tokens to every session and 344 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.
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