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 EmpiricaAI/empirica --skill rendergit clone --depth 1 https://github.com/EmpiricaAI/empiricaWrote 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/empiricaai/empirica/render)<a href="https://agentmods.dev/skills/empiricaai/empirica/render"><img src="https://agentmods.dev/badge/skills/empiricaai/empirica/render/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/empiricaai/empirica/render"><img src="https://agentmods.dev/badge/skills/empiricaai/empirica/render.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Prompt Injection · line 37 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.
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 | $0.00087 | $0.02223 |
| Opus 5 | $0.00044 | $0.01111 |
| Sonnet 5 | $0.00017 | $0.00445 |
| Haiku 4.5 | $0.00009 | $0.00222 |
Grade A, and why
render 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.
How it starts
The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Render: ASCII Art → Themed SVG via mdview
Generate DiagramSpec for ASCII art. Embed in markdown. Render via mdview.
AIs know what they're drawing. This skill serializes that knowledge as DiagramSpec JSON so mdview's asciisvg renderer produces accurate, themed SVG — no heuristics, no network calls to kroki.io.
How to Run
/render EPISTEMIC_MAP.md # Render specific file
/render # Render all .md files in current directory
/render --serve # Render and start live-reload server
/render --check # Audit: show which files have/lack specs
Phase 1: Discover ASCII Art Blocks
Read the target markdown file(s). For each file:
- Find all fenced code blocks (
```) - Classify each block:
mermaid→ skip (mdview handles these via mermaid.ink)svgbob/ditaa→ skip (explicitly typed)- Unmarked or
text/ascii→ check if ASCII art (box-drawing chars, arrows, borders)
- For each ASCII art block, check if a
<!-- diagram-spec: {...} -->comment already exists in the preceding lines - Blocks WITH specs → already handled, skip
- Blocks WITHOUT specs → need spec generation (Phase 2)
Report what was found:
Found 3 ASCII art blocks in EPISTEMIC_MAP.md:
Block 1 (lines 15-77): No spec — NEEDS GENERATION
Block 2 (lines 83-103): No spec — NEEDS GENERATION
Block 3 (lines 120-145): Has spec — OK
Phase 2: Generate DiagramSpec JSON
For each ASCII art block without a spec, analyze the diagram and generate a DiagramSpec.
DiagramSpec Schema
{
"type": "<flow|sequence|box|table|wireframe|state_machine>",
"title": "Optional title",
"layout": "<auto|horizontal|vertical|grid|nested|sequence>",
"elements": [
{
"id": "unique_id",
"label": "Display text",
"type": "<node|actor|box|panel|header|row|decision>",
"children": ["child_id_1"],
"properties": {
"sections": [["line 1", "line 2"], ["section 2 line 1"]]
}
}
],
"connections": [
{
"from": "source_id",
"to": "target_id",
"label": "Optional label",
"style": "solid"
}
]
}
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 · 274 lines · 87 tokens per session scan A 1179407d0508
render is a skill published in the GitHub repository EmpiricaAI/empirica (247 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 2,223 once invoked, about $0.0004 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.
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