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-concept-spiral-learninggit 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-concept-spiral-learning)<a href="https://agentmods.dev/skills/equinor/neqsim/paperlab-concept-spiral-learning"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/paperlab-concept-spiral-learning/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-concept-spiral-learning"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/paperlab-concept-spiral-learning.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00037 | $0.00287 |
| Opus 5.5 | $0.00015 | $0.00115 |
| Sonnet 5.5 | $0.00007 | $0.00057 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
paperlab-concept-spiral-learning 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 27d 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.
This is a copy
100% identical to paperlab_concept_spiral_learning — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
PaperLab Concept Spiral Learning
When to Use
USE WHEN: improving a long textbook or monograph where concepts recur across many chapters and should deepen over time.
Spiral Stages
| Stage | Meaning |
|---|---|
| introduce | first clear explanation |
| practice | worked example or basic exercise |
| deepen | broader case, limitation, or uncertainty |
| apply | engineering decision or design workflow |
| assess | exercise, lab, exam, or capstone |
Output Schema
{
"concepts": [
{
"concept": "hydrate margin",
"introduce": "ch04",
"practice": "ch06",
"deepen": "ch10",
"apply": "ch15",
"assess": "ch16_exercises",
"status": "complete"
}
]
}
Pass Criteria
- Major concepts progress beyond definition.
- Exercises arrive after worked examples.
- Capstones integrate earlier concepts with cross-references.
Safety Rules
- Do not remove intentional recap sections blindly.
- Do not force every concept through every stage.
- Keep reference-style chapters usable for lookup.
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.
- 27d ago First seen · 53 lines · 37 tokens per session scan A d7428b21c519
paperlab-concept-spiral-learning is a skill published in the GitHub repository equinor/neqsim (156 stars, last pushed today), licensed Apache-2.0. It adds 37 tokens to every session and 287 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to paperlab_concept_spiral_learning, differing in 2 lines, and is treated as a copy.
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