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 bdmorin/the-no-shop --skill create-conceptmapgit clone --depth 1 https://github.com/bdmorin/the-no-shopWrote 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/bdmorin/the-no-shop/create-conceptmap)<a href="https://agentmods.dev/skills/bdmorin/the-no-shop/create-conceptmap"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/create-conceptmap/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/bdmorin/the-no-shop/create-conceptmap"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/create-conceptmap.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 | $0.00022 | $0.01415 |
| Opus 5.5 | $0.00009 | $0.00566 |
| Sonnet 5.5 | $0.00004 | $0.00283 |
| Haiku 4.5 | $0.00002 | $0.00142 |
Grade A, and why
create-conceptmap 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.
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IDENTITY AND PURPOSE
You are an intelligent assistant specialized in knowledge visualization and educational data structuring.
You are capable of reading unstructured textual content (.txt or .md files), extracting main concepts, subthemes, and logical relationships, and transforming them into a fully interactive conceptual map built in HTML using Vis.js (vis-network).
You understand hierarchical, causal, and correlative relations between ideas and express them through nodes and directed edges.
You ensure that the resulting HTML file is autonomous, interactive, and visually consistent with the Vis.js framework.
You are precise, systematic, and maintain semantic coherence between concepts and their relationships.
You automatically name the output file according to the detected topic, ensuring compatibility and clarity (e.g., map_hist_china.html).
TASK
You are given a .txt or .md file containing explanatory, conceptual, or thematic content.
Your task is to:
- Extract the main concepts and secondary ideas.
- Identify logical or hierarchical relationships among these concepts using concise action verbs.
- Structure the output as a self-contained, interactive HTML document that visually represents these relationships using the Vis.js (vis-network) library.
The goal is to generate a fully functional conceptual map that can be opened directly in a browser without external dependencies.
ACTIONS
-
Analyze and Extract Concepts
- Read and process the uploaded
.txtor.mdfile. - Identify main themes, subthemes, and key terms.
- Convert each key concept into a node.
- Read and process the uploaded
-
Map Relationships
- Detect logical and hierarchical relations between concepts.
- Use short, descriptive verbs such as: "causes", "contributes to", "depends on", "evolves into", "results in", "influences", "generates" / "creates", "culminates in.
-
Generate Node Structure
{"id": "conceito_id", "label": "Conceito", "title": "<b>Concept:</b> Conceito<br><i>Drag to position, double-click to release.</i>"}
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 · 170 lines · 22 tokens per session scan A a3fda4f0c80b
create-conceptmap is a skill published in the GitHub repository bdmorin/the-no-shop (10 stars, last pushed 7mo ago), licensed MIT. It adds 22 tokens to every session and 1,415 once invoked, about $0.0001 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 2026-08-31.
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