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 DorianSchlede/nexus-template --skill mental-modelsgit clone --depth 1 https://github.com/DorianSchlede/nexus-templateWrote 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/dorianschlede/nexus-template/mental-models)<a href="https://agentmods.dev/skills/dorianschlede/nexus-template/mental-models"><img src="https://agentmods.dev/badge/skills/dorianschlede/nexus-template/mental-models/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/dorianschlede/nexus-template/mental-models"><img src="https://agentmods.dev/badge/skills/dorianschlede/nexus-template/mental-models.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 | $0.00023 | $0.00335 |
| Opus 5 | $0.00012 | $0.00168 |
| Sonnet 5 | $0.00005 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
mental-models 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 9d 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
Mental Models
Apply structured thinking frameworks to decisions, problems, and planning.
Workflow
Step 1: Run Scanner
uv run nexus-mental-models --format brief
Output shows slugs by category with path pattern:
# Path: 00-system/mental-models/models/{category}/{slug}.md
analytical: decision-matrix, swot-analysis, cost-benefit-analysis...
diagnostic: pre-mortem, five-whys, fishbone-diagram...
Step 2: Select & Load
Based on user's context, pick 1-2 models and load using the path pattern:
Read: 00-system/mental-models/models/diagnostic/pre-mortem.md
Step 3: Apply
Each model file contains purpose, questions, and process. Guide user through it.
Quick Reference
| Situation | Models |
|---|---|
| Decisions | decision-matrix, inversion, cost-benefit-analysis |
| Problems | first-principles, five-whys, fishbone-diagram |
| Planning | pre-mortem, scenario-planning, stakeholder-mapping |
| Risk | pre-mortem, inversion, margin-of-safety |
Rules
- Run scanner first - don't guess slugs
- Use path pattern -
models/{category}/{slug}.md - Let user pick - suggest, don't impose
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.
- 9d ago First seen · 55 lines · 23 tokens per session scan A 4813f6424e44
mental-models is a skill published in the GitHub repository DorianSchlede/nexus-template (8 stars, last pushed 7mo ago), licensed MIT. It adds 23 tokens to every session and 335 once invoked, about $0.0001 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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