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 lisamsung/agent-meme-forge --skill generate-meme-gif-packgit clone --depth 1 https://github.com/lisamsung/agent-meme-forgeWrote 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/lisamsung/agent-meme-forge/generate-meme-gif-pack)<a href="https://agentmods.dev/skills/lisamsung/agent-meme-forge/generate-meme-gif-pack"><img src="https://agentmods.dev/badge/skills/lisamsung/agent-meme-forge/generate-meme-gif-pack/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/lisamsung/agent-meme-forge/generate-meme-gif-pack"><img src="https://agentmods.dev/badge/skills/lisamsung/agent-meme-forge/generate-meme-gif-pack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00974 |
| Opus 5 | $0.00000 | $0.00487 |
| Sonnet 5 | $0.00000 | $0.00195 |
| Haiku 4.5 | $0.00000 | $0.00097 |
Grade A, and why
generate-meme-gif-pack 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 10d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Meme GIF Pack
Core rule: 没人用的表情包就是垃圾表情包. Every sticker must pass the sendability gate: real chat-use trigger, readable gag, and concrete send scenario.
Quick Decision
| User request | Route |
|---|---|
| Reference image or text concept -> Chinese meme GIF pack | Run intake, then plan-pack or plan-wizard. |
| Wants full automation / concurrency / API generation | Use image_provider=openai_images_api, then generate-raw-batch, then QC/build. |
| Wants Codex built-in image generation | Use image_provider=codex_builtin_image_gen; this is interactive and split across turns. |
| Already has raw PNG/GIF files | Use external_files, then accept-generated/QC/build. |
| Explicit Google AI Studio / Hermes / Nano Banana route | Switch to generate-meme-gif-pack-ai-studio. |
| Wants WeChat platform upload | First build and QC locally, then read references/wechat-platform-upload.md. |
Required Intake
Ask these unless the user already answered or explicitly said to use defaults:
- input: reference image or
text_concept - persona: e.g.
科研打工人,都市丽人,码农,学生,研究僧 - style:
clean-sticker,pixel-art,chibi,retro-msn,office-cartoon,hand-drawn - mode and count: WeChat uses 16 or 24; 18 is
self_use - quality mode:
submission,standard, orpreview - image provider:
codex_builtin_image_gen,openai_images_api,external_files, orai_studio_hermes
Use scripts/meme_pack.py plan-wizard when the user wants command-line guidance.
Tool Boundary
Codex built-in image_gen is a terminal action in this environment: call it only as the final action of the current turn, then resume next turn after the image has been saved/exported locally. Do not run accept-generated, qc-sheet, or build-preview in the same turn after built-in image_gen.
For full automation, do not use built-in image_gen; use the scriptable openai_images_api provider. Details: references/tool-boundary.md.
Required References
Read only what the situation needs:
What ships with it
18 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.
- assets/fonts/OFL.txt 4.3 KB
- assets/fonts/ZCOOLKuaiLe-Regular.ttf 1479 KB
- references/agent-rules.md 2.3 KB
- references/commands.md 2.1 KB
- references/dense-frames.md 5.2 KB
- references/meme-library.md 1.9 KB
- references/personas.md 2.0 KB
- references/pressure-scenarios.md 1.1 KB
- references/prompt-rules.md 20 KB
- references/qc-checklist.md 1.2 KB
- references/styles.md 1.5 KB
- references/tool-boundary.md 1.6 KB
- references/wechat-platform-upload.md 5.0 KB
- references/wechat-spec.md 4.3 KB
- references/workflow.md 2.1 KB
- scripts/dense_frames.py 7.5 KB runs code
- scripts/imagegen_client.py 8.0 KB runs code
- scripts/meme_pack.py 214 KB runs code
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.
- 10d ago First seen · 76 lines · 0 tokens per session scan A cf79edf3f32e
generate-meme-gif-pack is a skill published in the GitHub repository lisamsung/agent-meme-forge (105 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 974 tokens. 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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