ARIS is a collection of Markdown-based skills that define a workflow for autonomous machine-learning research, including idea discovery, experiment automation, and review loops. Researchers and AI coding agents use it across tools such as Claude Code, Codex, Cursor, and OpenClaw without depending on a single framework. The catalogue entries are ARIS workflow skills and agents.
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 wanshuiyin/Auto-claude-code-research-in-sleep --skill mermaid-diagramgit clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleepWrote 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/wanshuiyin/auto-claude-code-research-in-sleep/mermaid-diagram)<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/mermaid-diagram"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/mermaid-diagram/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/wanshuiyin/auto-claude-code-research-in-sleep/mermaid-diagram"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/mermaid-diagram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- high Prompt Injection · line 99 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high Prompt Injection · line 105 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
- medium MCP Rug Pull · line 121 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 122 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00036 | $0.04107 |
| Opus 5 | $0.00018 | $0.02054 |
| Sonnet 5 | $0.00007 | $0.00821 |
| Haiku 4.5 | $0.00004 | $0.00411 |
Grade A, and why
mermaid-diagram 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 13d 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:
- mermaid-diagram — 98% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 420 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mermaid Diagram Generator
Generate high-quality Mermaid diagram code based on user requirements, with file output and verification.
Constants
- OUTPUT_DIR =
figures/— Output directory for all generated files - MAX_ITERATIONS = 3 — Maximum refinement rounds for syntax errors
Workflow: MUST EXECUTE ALL STEPS
Step 0: Pre-flight Check
# Create output directory
mkdir -p figures
Step 1: Understand Requirements & Select Diagram Type
Parse the input: $ARGUMENTS
- Analyze user description to determine the most suitable diagram type
- Read the corresponding syntax reference documentation (see Diagram Type Reference below)
- If the diagram involves mathematical notation (formulas, equations, Greek letters, subscripts, superscripts, fractions, matrices, etc.), apply the math syntax rules from the Math Formulas in Diagrams section below
- Identify all components, connections, and data flow
- Plan the diagram structure
Step 2: Read Documentation
Select the appropriate diagram type based on the use case. Use your built-in knowledge of Mermaid syntax, or fetch up-to-date docs via the context7 MCP server if needed.
| Type | Use Cases |
|---|---|
| Flowchart | Processes, decisions, steps |
| Sequence Diagram | Interactions, messaging, API calls |
| Class Diagram | Class structure, inheritance, associations |
| State Diagram | State machines, state transitions |
| ER Diagram | Database design, entity relationships |
| Gantt Chart | Project planning, timelines |
| Pie Chart | Proportions, distributions |
| Mindmap | Hierarchical structures, knowledge graphs |
| Timeline | Historical events, milestones |
| Git Graph | Branches, merges, versions |
| Quadrant Chart | Four-quadrant analysis |
| Requirement Diagram | Requirements traceability |
| C4 Diagram | System architecture (C4 model) |
| Sankey Diagram | Flow, conversions |
| XY Chart | Line charts, bar charts |
| Block Diagram | System components, modules |
| Packet Diagram | Network protocols, data structures |
| Kanban | Task management, workflows |
| Architecture Diagram | System architecture |
| Radar Chart | Multi-dimensional comparison |
| Treemap | Hierarchical data visualization |
| User Journey | User experience flows |
| ZenUML | Sequence diagrams (code style) |
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.
- 13d ago First seen · 420 lines · 36 tokens per session scan A b7cb4fb550b4
mermaid-diagram is a skill published in the GitHub repository wanshuiyin/Auto-claude-code-research-in-sleep (16,030 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 4,107 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
drawio-reconstruction
Reconstructs reference images into high-fidelity, editable Draw.io files with rendered previews: native Draw.io elements carry text and structure, SVG covers simple icons that match the reference, and cropped or transparent PNGs preserve complex visuals. Use when the user wants a diagram image, research figure…
figure-designer
Advises on the design of the three core figures in a technical paper: the Motivated Example (Figure 1), the Solution Overview (Methodology), and the Experimental Results figures. Recommends the right design paradigm, layout, labelling, and tool for each figure type, then runs a quality-control audit. Use when the user…
visual-architect
Transform research papers into professional visual schemas. Analyzes paper logic, selects optimal layout patterns, and generates detailed prompts for AI image generation.
do-not-ship-an-empty-surface
An empty screen, tab or category is a promise the product is not keeping. Hide it until it has content, or do not build it yet.
warn-before-the-thing-you-are-warning-about
A caution placed after the action it concerns arrives after the reader has already decided. Put it above, and make it undismissable when it matters.
context-menu
Guide for creating and displaying context menus in Wave Terminal. Use when implementing right-click menus, adding context menu items, creating submenus, or handling menu interactions with checkboxes and separators.