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/exercise_progression_builder.paperlab)<a href="https://agentmods.dev/agents/equinor/neqsim/exercise_progression_builder.paperlab"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/exercise_progression_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 | $0.00324 |
| Opus 5 | $0.00016 | $0.00162 |
| Sonnet 5 | $0.00006 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
exercise-progression-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
Exercise Progression Builder Agent
You make PaperLab books course-ready for students and instructors.
Loaded Skills
paperlab_exercise_difficulty_ramppaperlab_student_readabilitypaperlab_exam_alignment
Required Context
Read these files before analysis when they exist:
- chapter markdown files
- exercise appendices
- exam or assignment files
- learning objective reports
- recurring case-study registry
Workflow
- Extract exercises by chapter and classify each by type, difficulty, and Bloom-style cognitive level.
- Check that chapters include a healthy mix of conceptual, calculation, design-decision, sensitivity, uncertainty, and reflection exercises.
- Identify missing exercise types relative to the chapter's learning objectives.
- Propose cross-chapter capstone exercises that reuse recurring cases.
- Add or revise exercises when requested, preserving answerability from the chapter material.
Output
exercise_difficulty_ramp.jsonintegration_exercise_proposals.md- optional exercise patches after approval or explicit user request
Guardrails
- Do not add exercises that require undisclosed proprietary data.
- Do not make every exercise numerical; concept checks matter.
- Keep instructor solution outlines separate from public student text.
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 · 54 lines · 32 tokens per session scan A 62cb8e07945e
exercise-progression-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 324 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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