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 agentmods add skills/pjt222/agent-almanac/create-2d-compositionnpx skills add pjt222/agent-almanac --skill create-2d-compositiongit clone --depth 1 https://github.com/pjt222/agent-almanacWrote 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/pjt222/agent-almanac/create-2d-composition)<a href="https://agentmods.dev/skills/pjt222/agent-almanac/create-2d-composition"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/create-2d-composition.svg" alt="Measured on agentmods" 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 | $0.00077 | $0.02954 |
| Opus 5 | $0.00039 | $0.01477 |
| Sonnet 5 | $0.00015 | $0.00591 |
| Haiku 4.5 | $0.00008 | $0.00295 |
Grade A, and why
create-2d-composition 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 2d 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 — 418 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create 2D Composition
Generate 2D graphics programmatically using SVG construction, diagram layout algorithms, image compositing, and batch processing workflows. Covers vector graphics generation, raster image manipulation, typography, and automated production of charts, diagrams, and infographics.
When to Use
- Generating diagrams, flowcharts, or infographics programmatically
- Creating reproducible scientific figures or publication graphics
- Automating production of badges, icons, or visual assets
- Compositing multiple images or data visualizations
- Building custom chart types not available in standard libraries
- Batch generating graphics with parameter variations
- Creating SVG templates for web or print applications
Inputs
| Input | Type | Description | Example |
|---|---|---|---|
| Layout specification | Configuration | Dimensions, margins, grid layout | Canvas 800x600px, 20px margins |
| Visual elements | Data/Assets | Shapes, text, images, data points | Rectangle coordinates, labels, icons |
| Style parameters | CSS/Attributes | Colors, fonts, stroke widths, opacity | fill="#3366cc", stroke-width="2" |
| Data sources | Files/Arrays | Values to visualize or annotate | CSV data, JSON configuration |
| Output format | String | SVG, PNG, PDF, composite formats | output.svg, 300 DPI PNG |
Procedure
1. Set Up Python Environment
Install required libraries for 2D composition:
# Core libraries
pip install svgwrite pillow cairosvg
# Optional: advanced features
pip install drawsvg reportlab pycairo
# For data-driven graphics
pip install matplotlib numpy pandas
Got: Libraries installed successfully If fail: Check Python version (3.7+), use virtual environment to avoid conflicts
2. Create Basic SVG Graphics
Generate SVG using svgwrite:
import svgwrite
from svgwrite import cm, mm
def create_basic_svg(output_path):
"""Create a simple SVG graphic."""
# Initialize drawing (use mm for precise dimensions)
dwg = svgwrite.Drawing(output_path, size=('180mm', '120mm'), profile='full')
# Add background rectangle
dwg.add(dwg.rect(
insert=(0, 0),
size=('100%', '100%'),
fill='white'
))
# Add shapes
dwg.add(dwg.circle(
center=(90*mm, 60*mm),
r=30*mm,
fill='lightblue',
stroke='navy',
stroke_width=2
))
dwg.add(dwg.rect(
insert=(30*mm, 30*mm),
size=(60*mm, 40*mm),
fill='lightgreen',
stroke='darkgreen',
stroke_width=2,
rx=5, # Rounded corners
ry=5
))
# Add text
dwg.add(dwg.text(
'Example Graphic',
insert=(90*mm, 20*mm),
text_anchor='middle',
font_size='18pt',
font_family='Arial',
fill='black'
))
dwg.save()
print(f"Saved: {output_path}")
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.
- 2d ago First seen · 418 lines · 77 tokens per session scan A cd51dcf871cc
create-2d-composition is a skill published in the GitHub repository pjt222/agent-almanac (32 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 2,954 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 2026-09-03.
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Turn a raw idea or existing feature into a designed product SPEC by completing entity, integration, role, and expectation closure. Upserts never destroy recorded decisions. Triggers: "design-feature", "design this feature", "define product scope".
audit-pr
Audit a whole PR against the delivery contract and return MERGE-READY or evidenced blockers with the full URL. Consumes the current review-change REVIEW-PASS receipt instead of re-running review axes; posts a SHA-bound ready comment; never edits or merges. Triggers: "audit-pr", "is this PR ready", "merge gate".
plan-feature
Route designed features or issues into engineering planning and roadmap registration; undesigned work stops at design-feature. Supports --next, --from-issue, and --scaffold. Triggers: "plan-feature", "plan a feature", "plan the next roadmap feature", "create SPEC and TASKS".
product-audit
Audit the whole product across code, quality, process, docs, roadmap, and tooling. Persist one severity-ranked, F-numbered report with proposals; never fix or file work. Triggers: "product-audit", "audit the product", "full health check", "are we product-ready", "CTO review".
audit-docs
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Adapt the workflow scaffold to a new repository or add only missing substrate blocks to an existing install. Every install, hook, and overwrite needs explicit consent. Triggers: "init-workspace", "set up agentic workflow", "upgrade workflow scaffold".