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.
git clone --depth 1 https://github.com/cveralyon/axel-setupWrote 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/commands/cveralyon/axel-setup/visualize)<a href="https://agentmods.dev/commands/cveralyon/axel-setup/visualize"><img src="https://agentmods.dev/badge/commands/cveralyon/axel-setup/visualize/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/commands/cveralyon/axel-setup/visualize"><img src="https://agentmods.dev/badge/commands/cveralyon/axel-setup/visualize.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 | $0.00000 | $0.00127 |
| Opus 5.5 | $0.00000 | $0.00051 |
| Sonnet 5.5 | $0.00000 | $0.00025 |
| Haiku 4.5 | $0.00000 | $0.00013 |
Grade A, and why
visualize 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.
What it actually says
Visualize Code Architecture
Use Mermaid diagrams to visualize the data lineage, architecture, or flow of the referenced code or project.
What to generate
Based on context, create the most relevant diagram:
- Flowchart — for request/data flows
- Class diagram — for model relationships
- Sequence diagram — for multi-service interactions
- ER diagram — for database relationships
Rules
- Use clear, descriptive labels
- Group related components in subgraphs
- Highlight external services vs internal components
- Keep it readable — max ~20 nodes per diagram, split into multiple if needed
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 · 18 lines · 0 tokens per session scan A 5f6aee8ae24f
visualize is a command published in the GitHub repository cveralyon/axel-setup (4 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 127 tokens. 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.
Other commands, from other repositories
release
Run the weekly release checklist (triage, CHANGELOG, semver tag, GitHub Release, dev.to, LinkedIn, ufawkes.dev) and file the post-release DORA issue.
measure
Monthly DORA metrics snapshot from uFawkesObs, with anomaly flags and a post-release tracking issue.
oc-health
Verify OpenCode configuration, pinned agent models, determinism, and provider health.
plan
Research and produce intent.md, spec.md, and plan.md for a feature.
review-agents
Request focused code review from a subagent with git SHA context.
implement
Execute the plan.md with verification checkpoints.