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 subhansh-dev/agent-maxxing --skill 11-meme-makergit clone --depth 1 https://github.com/subhansh-dev/agent-maxxingWrote 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/subhansh-dev/agent-maxxing/11-meme-maker)<a href="https://agentmods.dev/skills/subhansh-dev/agent-maxxing/11-meme-maker"><img src="https://agentmods.dev/badge/skills/subhansh-dev/agent-maxxing/11-meme-maker/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/subhansh-dev/agent-maxxing/11-meme-maker"><img src="https://agentmods.dev/badge/skills/subhansh-dev/agent-maxxing/11-meme-maker.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 | $0.00019 | $0.00554 |
| Opus 5 | $0.00010 | $0.00277 |
| Sonnet 5 | $0.00004 | $0.00111 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
meme-maker 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 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.
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
Meme Maker
Create meme drafts from a curated template registry without bundling copyrighted template images.
Quick start
- Search:
{baseDir}/scripts/meme.mjs search "bad choice" - Suggest:
{baseDir}/scripts/meme.mjs suggest "slow python image scripts" - Local SVG:
{baseDir}/scripts/meme.mjs render drake --text "Python cold starts" --text "Node sharp cache" --out /tmp/meme.svg - Local PNG:
{baseDir}/scripts/meme.mjs render drake --text "Maybe API" --text "Local render" --out /tmp/meme.png - Imgflip hosted:
{baseDir}/scripts/meme.mjs render drake --service imgflip --text "before" --text "after"
Modes
localis default. It downloads template images from their source URL with a browser-like user agent, caches them under the user cache dir, embeds the image in an SVG, and writes SVG. If--outends in.png, it usessharpwhen available.imgflipcalls Imgflipcaption_imageand prints the hosted URL. It requiresIMGFLIP_USERandIMGFLIP_PASSunless supplied via--usernameand--password.
Commands
list [--json]: list the built-in curated templates.search <query> [--json]: search template names, aliases, tags, and use cases.suggest <topic> [--limit N] [--json]: rank templates for the topic.render <template> --text TEXT ... [--out PATH] [--service local|imgflip]: generate a meme.refresh [--limit N] [--json]: fetch current Imgflip top templates for research; do not overwrite the curated registry automatically.
Template registry
- Read
{baseDir}/references/templates.jsonfor the curated 20-template registry. - Each entry includes Imgflip metadata, Know Your Meme link, aliases, tags, fields, and local text placement boxes.
- Prefer
suggestfirst when the user describes a joke but does not know the format.
Hygiene
- Do not ship template image files in the skill.
- Do not use shared or hardcoded Imgflip credentials.
- Keep Know Your Meme lookups out of the render hot path; use KYM links for explanation/provenance only.
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 · 43 lines · 19 tokens per session scan A 8c13883f3be6
meme-maker is a skill published in the GitHub repository subhansh-dev/agent-maxxing (2 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 554 once invoked, about $0.0001 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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