Kroki Diagram ApiSAFE
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Overview
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
e1ba289846fdOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| openclaw | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: kroki-diagram-api
description: "Generate diagrams from text via Kroki's multi-format rendering API"
metadata:
openclaw:
emoji: "📐"
category: "tools"
subcategory: "diagram"
keywords: ["Kroki", "diagram generation", "text-to-diagram", "Graphviz", "PlantUML", "Mermaid"]
source: "https://kroki.io/"
---
# Kroki Diagram API
## Overview
Kroki provides a unified HTTP API to render 20+ text-based diagram formats into images (SVG, PNG, PDF). It supports Mermaid, PlantUML, Graphviz, D2, BPMN, and more — all through a single endpoint. Self-hostable or use the free public instance. No authentication required. Ideal for generating research figures, architecture diagrams, and flowcharts programmatically.
## API Usage
### GET Request (URL-encoded)
```bash
# Graphviz DOT diagram
curl "https://kroki.io/graphviz/svg/digraph{A->B->C}" -o diagram.svg
# Mermaid diagram (base64-encoded)
echo "graph TD; A-->B; B-->C;" | base64 | \
curl "https://kroki.io/mermaid/svg/$(cat -)" -o diagram.svg
```
### POST Request (Recommended)
```bash
# PlantUML sequence diagram
curl -X POST "https://kroki.io/plantuml/svg" \
-H "Content-Type: text/plain" \
-d '@startuml
Alice -> Bob: Hello
Bob --> Alice: Hi!
@enduml' -o sequence.svg
# Mermaid flowchart
curl -X POST "https://kroki.io/mermaid/svg" \
-H "Content-Type: text/plain" \
-d 'graph TD
A[Data Collection] --> B[Preprocessing]
B --> C[Model Training]
C --> D[Evaluation]
D -->|Good| E[Deploy]
D -->|Bad| B' -o flowchart.svg
# Graphviz
curl -X POST "https://kroki.io/graphviz/svg" \
-H "Content-Type: text/plain" \
-d 'digraph {
rankdir=LR
"Raw Data" -> "Feature Extraction" -> "Model" -> "Prediction"
}' -o pipeline.svg
# D2 diagram
curl -X POST "https://kroki.io/d2/svg" \
-H "Content-Type: text/plain" \
-d 'Client -> API: Request
API -> Database: Query
Database -> API: Results
API -> Client: Response' -o d2.svg
```
### URL Format
```
https://kroki.io/{diagram_type}/{output_format}/{encoded_source}
# Or POST to:
https://kroki.io/{diagram_type}/{output_format}
```
### Supported Diagram Types
| Type | Keyword | Best for |
|------|---------|----------|
| Mermaid | `mermaid` | Flowcharts, sequences, Gantt |
| PlantUML | `plantuml` | UML, sequences, class diagrams |
| Graphviz | `graphviz` | Network graphs, DAGs |
| D2 | `d2` | Modern text-to-diagram |
| Ditaa | `ditaa` | ASCII art diagrams |
| BlockDiag | `blockdiag` | Block diagrams |
| Nomnoml | `nomnoml` | UML-like diagrams |
| WaveDrom | `wavedrom` | Digital timing diagrams |
| Vega | `vega` | Data visualizations |
| Vega-Lite | `vegalite` | Simplified data viz |
| C4 PlantUML | `c4plantuml` | C4 architecture |
| BPMN | `bpmn` | Business processes |
| Bytefield | `bytefield` | Protocol/byte diagrams |
| Excalidraw | `excalidraw` | Hand-drawn style |
### Output Formats
| Format | Extension | Use case |
|--------|-----------|----------|
| SVG | `/svg` | Web, scalable |
| PNG | `/png` | Documents, slides |
| PDF | `/pdf` | Papers, print |
| JPEG | `/jpeg` | Compatibility |
## Python Usage
```python
import requests
import base64
import zlib
KROKI_URL = "https://kroki.io"
def render_diagram(source: str, diagram_type: str = "mermaid",
output_format: str = "svg") -> bytes:
"""Render a text diagram to image via Kroki."""
resp = requests.post(
f"{KROKI_URL}/{diagram_type}/{output_format}",
headers={"Content-Type": "text/plain"},
data=source,
)
resp.raise_for_status()
return resp.content
def save_diagram(source: str, output_path: str,
diagram_type: str = "mermaid",
output_format: str = "svg"):
"""Render and save a diagram to file."""
content = render_diagram(source, diagram_type, output_format)
with open(output_path, "wb") as f:
f.write(content)
def render_research_pipeline(steps: list) -> bytes:
"""Create a research pipeline flowchart."""
nodes = []
for i, step in enumerate(steps):
node_id = chr(65 + i)
nodes.append(f" {node_id}[{step}]")
if i > 0:
prev_id = chr(65 + i - 1)
nodes.append(f" {prev_id} --> {node_id}")
mermaid = "graph TD\n" + "\n".join(nodes)
return render_diagram(mermaid, "mermaid", "svg")
# Example: create a research workflow diagram
workflow = """graph TD
A[Literature Review] --> B[Hypothesis]
B --> C[Data Collection]
C --> D[Statistical Analysis]
D --> E{Significant?}
E -->|Yes| F[Write Paper]
E -->|No| G[Revise Hypothesis]
G --> B
F --> H[Peer Review]"""
save_diagram(workflow, "research_workflow.svg", "mermaid")
# Example: Graphviz citation network
citation_graph = """digraph {
rankdir=BT
node [shape=box, style=rounded]
"Vaswani 2017" -> "BERT 2018"
"Vaswani 2017" -> "GPT 2018"
"BERT 2018" -> "RoBERTa 2019"
"GPT 2018" -> "GPT-2 2019"
"GPT-2 2019" -> "GPT-3 2020"
}"""
save_diagram(citation_graph, "citations.svg", "graphviz")
# Example: research pipeline helper
pipeline_svg = render_research_pipeline([
"Raw Data", "Cleaning", "Feature Engineering",
"Model Training", "Evaluation", "Deployment"
])
```
## Self-Hosting
```bash
# Run Kroki locally via Docker
docker run -d -p 8000:8000 yuzutech/kroki
# Then use http://localhost:8000 instead of https://kroki.io
```
## References
- [Kroki](https://kroki.io/)
- [Kroki Documentation](https://docs.kroki.io/)
- [Kroki GitHub](https://github.com/yuzutech/kroki)Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
e1ba289846fdfull audit observations/trust-audit/skill/brycewang-stanford__kroki-diagram-api.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | e1ba289846fd | SAFE | B | 89 | first audit |
Questions
What does the Kroki Diagram Api skill do?
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Is Kroki Diagram Api safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Kroki Diagram Api access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Kroki Diagram Api work with?
Its documentation mentions openclaw. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (e1ba289846fd), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.