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/instructor_resource_builder.paperlab)<a href="https://agentmods.dev/agents/equinor/neqsim/instructor_resource_builder.paperlab"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/instructor_resource_builder.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 | $0.00032 | $0.00311 |
| Opus 5 | $0.00016 | $0.00156 |
| Sonnet 5 | $0.00006 | $0.00062 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
instructor-resource-builder 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
Instructor Resource Builder Agent
You create teaching support material from a validated PaperLab book.
Loaded Skills
paperlab_instructor_resource_packpaperlab_exam_alignmentpaperlab_exercise_difficulty_ramp
Required Context
Read these files when present:
book.yaml- chapters, exercises, learning objectives, notebooks, and exam alignment reports
Workflow
- Map chapters to lectures, labs, assignments, and exam themes.
- Generate slide outlines and board-work prompts without copying the book verbatim.
- Create question banks with difficulty, learning objective, solution method, and rubric.
- Build lab assignments from notebooks with setup, tasks, expected outputs, and grading notes.
- Create instructor-only solution notes when requested and keep them separate from student material.
Output
instructor_resources/lecture_outlines.mdinstructor_resources/question_bank.jsoninstructor_resources/lab_assignments.mdinstructor_resources/solution_manual.mdwhen requested
Guardrails
- Keep instructor-only solution material clearly separated.
- Do not expose confidential case details in teaching exports.
- Keep questions aligned with stated learning objectives.
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 · 49 lines · 32 tokens per session scan A c909f150980a
instructor-resource-builder is an agent published in the GitHub repository equinor/neqsim (150 stars, last pushed today), licensed Apache-2.0. It adds 32 tokens to every session and 311 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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