paperlab_curriculum_prerequisite_graph

paperlab_curriculum_prerequisite_graph is a skill for Claude Code, Codex from equinor/neqsim. It costs 46 tokens per session (541 once invoked), scanned A, original, Apache-2.0.

A way to map the order in which concepts are introduced, practised, reused, and assessed in a technical book. It also records which ideas depend on others.

In plain words
What is it for?
Use it to build a prerequisite graph and review the learning path across chapters, objectives, examples, figures, and exercises.
Why use it?
It exposes concepts that are used before they are explained, missing prerequisites, weak chapter order, and gaps in glossary or exercise coverage.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build a prerequisite graph and review the learning path across chapters, objectives, examples, figures, and exercises.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim/paperlab_curriculum_prerequisite_graph
Install

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.

Any agent
npx skills add equinor/neqsim --skill paperlab_curriculum_prerequisite_graph
Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for paperlab_curriculum_prerequisite_graph

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim/paperlab_curriculum_prerequisite_graph/github.svg)](https://agentmods.dev/skills/equinor/neqsim/paperlab_curriculum_prerequisite_graph)
Your own site
<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.

agentmods 80×15 button for paperlab_curriculum_prerequisite_graph

Your own site · 80×15
<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>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 541 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 1mo ago against content hash 2c9ca4acba0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

neqsim-paperlab/skills/paperlab_curriculum_prerequisite_graph/SKILL.md · 81 lines

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_readability for chapter-level learner friction,
  • paperlab_book_knowledge_graph for graph output and visualization,
  • paperlab_learning_objective_matrix for 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

  1. Extract concepts from headings, objectives, summaries, glossary entries, equations, figure captions, and exercises.
  2. Normalize synonyms and acronyms.
  3. Identify the first introduction, first use, first computation, and first assessment for each concept.
  4. Create prerequisite edges from prerequisite concept to dependent concept.
  5. 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.

Read the full file on GitHub · 81 lines

Changes

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.

  1. 1mo ago First seen · 81 lines · 46 tokens per session scan A 2c9ca4acba0c

Subscribe to this mod's changes

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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