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 equinor/neqsim --skill paperlab_curriculum_prerequisite_graphgit 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/skills/equinor/neqsim/paperlab_curriculum_prerequisite_graph)<a href="https://agentmods.dev/skills/equinor/neqsim/paperlab_curriculum_prerequisite_graph"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/paperlab_curriculum_prerequisite_graph/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/equinor/neqsim/paperlab_curriculum_prerequisite_graph"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/paperlab_curriculum_prerequisite_graph.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.00541 |
| Opus 5.5 | $0.00018 | $0.00216 |
| Sonnet 5.5 | $0.00009 | $0.00108 |
| Haiku 4.5 | $0.00005 | $0.00054 |
Grade A, and why
paperlab_curriculum_prerequisite_graph 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- paperlab-curriculum-prerequisite-graph — 100% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PaperLab Curriculum Prerequisite Graph
When to Use
USE WHEN: reviewing a whole technical book for curriculum flow, especially when chapters are written by multiple passes or imported from course material.
Pair with:
paperlab_student_readabilityfor chapter-level learner friction,paperlab_book_knowledge_graphfor graph output and visualization,paperlab_learning_objective_matrixfor objective-level coverage.
Concept States
Track each concept in these states:
| State | Meaning |
|---|---|
| introduced | concept is explained for the first time |
| practiced | concept appears in worked examples or exercises |
| reinforced | concept is reused with reminder context |
| assessed | concept appears in exercises, exams, or projects |
| assumed | concept is used without explanation |
Workflow
- Extract concepts from headings, objectives, summaries, glossary entries, equations, figure captions, and exercises.
- Normalize synonyms and acronyms.
- Identify the first introduction, first use, first computation, and first assessment for each concept.
- Create prerequisite edges from prerequisite concept to dependent concept.
- Flag:
- use before introduction,
- assessment before worked example,
- missing bridge paragraph,
- duplicate first explanations,
- glossary terms not used in chapters.
Output Schema
{
"book": "book-slug",
"concepts": [
{
"id": "hydrate_margin",
"label": "hydrate margin",
"introduced_in": "ch10#section",
"first_used_in": "ch08#section",
"state": "assumed",
"issue": "used-before-introduction"
}
],
"edges": [
{"from": "phase_envelope", "to": "hydrate_margin", "type": "prerequisite"}
]
}
Pass Criteria
- Core concepts are introduced before calculation or assessment.
- Glossary and acronym entries match chapter usage.
- Capstone cases reference earlier theory instead of re-teaching it at length.
- Bridge paragraphs or cross-references exist for necessary jumps.
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.
- 1mo ago First seen · 81 lines · 46 tokens per session scan A 2c9ca4acba0c
paperlab_curriculum_prerequisite_graph is a skill published in the GitHub repository equinor/neqsim (156 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 541 once invoked, about $0.0002 per session on Opus 5.5. 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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