Softaworks Agent Toolkit is a collection of packaged instructions, scripts, agents, and commands that give AI coding assistants reusable procedures for development, documentation, planning, and professional work. Developers install its components individually in compatible coding-agent environments; catalogue entries represent parts of this toolkit.
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/softaworks/agent-toolkit/meme-factorynpx skills add softaworks/agent-toolkit --skill meme-factorygit clone --depth 1 https://github.com/softaworks/agent-toolkitWrote 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/softaworks/agent-toolkit/meme-factory)<a href="https://agentmods.dev/skills/softaworks/agent-toolkit/meme-factory"><img src="https://agentmods.dev/badge/skills/softaworks/agent-toolkit/meme-factory.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 | $0.00047 | $0.02003 |
| Opus 5 | $0.00023 | $0.01001 |
| Sonnet 5 | $0.00009 | $0.00401 |
| Haiku 4.5 | $0.00005 | $0.00200 |
Grade A, and why
meme-factory scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -I "https://api.memegen.link/images/buzz/test/test.png" Copies of this mod
2 near-identical copies found in the catalogue:
- meme-factory — 100% identical, 0 lines differ
- meme-factory — 100% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 332 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meme Factory
Create memes using the free memegen.link API and textual meme formats.
Triggers
| Trigger | Description |
|---|---|
/meme-factory |
Manual invocation |
/meme-factory {template} {top} {bottom} |
Direct meme generation |
meme-factory: create a meme about X |
Natural language request |
Quick Reference
| Action | Format |
|---|---|
| Basic meme | https://api.memegen.link/images/{template}/{top}/{bottom}.png |
| With sizing | ?width=1200&height=630 |
| Custom background | ?style=https://example.com/image.jpg |
| All templates | https://api.memegen.link/templates/ |
| Interactive docs | https://api.memegen.link/docs/ |
Additional Resources:
- Markdown Memes Guide - 15+ textual meme formats
- Examples - Practical usage examples
- meme_generator.py - Python helper script
Quick Start
Basic Meme Structure
https://api.memegen.link/images/{template}/{top_text}/{bottom_text}.{extension}
Example:
https://api.memegen.link/images/buzz/memes/memes_everywhere.png
Result: Buzz Lightyear meme with "memes" at top and "memes everywhere" at bottom.
Text Formatting
| Character | Encoding |
|---|---|
| Space | _ or - |
| Newline | ~n |
| Question mark | ~q |
| Percent | ~p |
| Slash | ~s |
| Hash | ~h |
| Single quote | '' |
| Double quote | "" |
Popular Templates
| Template | Use Case | Example |
|---|---|---|
buzz |
X, X everywhere | bugs/bugs_everywhere |
drake |
Comparisons | manual_testing/automated_testing |
success |
Victories | deployed/no_errors |
fine |
Things going wrong | server_on_fire/this_is_fine |
fry |
Uncertainty | not_sure_if_bug/or_feature |
changemind |
Hot takes | tabs_are_better_than_spaces |
distracted |
Priorities | my_code/new_framework/current_project |
mordor |
One does not simply | one_does_not_simply/deploy_on_friday |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 332 lines · 47 tokens per session scan A 93244397e6ff
meme-factory is a skill published in the GitHub repository softaworks/agent-toolkit (2,422 stars, last pushed 6mo ago), licensed MIT. It adds 47 tokens to every session and 2,003 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
desktop-brand-builder
Generate a branded Qwen Code desktop package from the Tauri desktop shell using a minimal brandId and logo. Use when the user wants a custom, white-label, or rebranded desktop client, installer, DMG/EXE/AppImage/deb, or one-click brand build on top of packages/desktop-shell.
pptx
从论文、大纲或结构化文本生成 PowerPoint (.pptx) 演示文稿。Use when 用户需要把一篇论文/文章/大纲做成幻灯片、slides、演示文稿、PPT、deck。Don't use when 只需纯文本总结、生成 Word/PDF、或修改已有 pptx 的单个像素级样式。.
gpt-image-gen
MUST read before generating images. Detailed prompt-crafting guide for gpt-image models, covering tool routing (native imagegeneration server tool vs the generateimage tool), prompt structure from subject to background, verbatim text rendering, anti-patterns, and the revisedprompt feedback loop for iteration.
frame-bold-poster
A 1970s European editorial poster in motion — a red rule draws across, a giant tilted figure drops in, a three-line headline rises line-by-line, an italic serif standfirst fades.
frame-light-leak-cinema
Film light leaks, grain, 16:9 letterbox, and large serif type for cinematic openings or chapter cards.
frame-bold-signal
Bold colored card on a dark gradient — big section number, nav breadcrumb, orange card sliding in, title rising.