generate-meme-gif-pack

generate-meme-gif-pack is a skill for Claude Code, Codex from lisamsung/agent-meme-forge. It costs 0 tokens per session (974 once invoked), scanned A, original, MIT.

A workflow for creating a pack of animated Chinese meme stickers for WeChat from a reference image or text idea. It targets 16 or 24 entries, each as a 240-by-240 GIF.

In plain words
What is it for?
Planning, generating, checking, and packaging Chinese WeChat sticker packs with captions, characters, and animated scenes.
Why use it?
It keeps the stickers readable, funny, and tied to situations where someone would actually send them. It also supports different generation routes and quality checks before packaging.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Planning, generating, checking, and packaging Chinese WeChat sticker packs with captions, characters, and animated scenes.

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Install with agentmods
npx agentmods add skills/lisamsung/agent-meme-forge/generate-meme-gif-pack
Install

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.

Any agent
npx skills add lisamsung/agent-meme-forge --skill generate-meme-gif-pack
Clone the repo
git clone --depth 1 https://github.com/lisamsung/agent-meme-forge

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for generate-meme-gif-pack

README.md
[![agentmods](https://agentmods.dev/badge/skills/lisamsung/agent-meme-forge/generate-meme-gif-pack/github.svg)](https://agentmods.dev/skills/lisamsung/agent-meme-forge/generate-meme-gif-pack)
Your own site
<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.

agentmods 80×15 button for generate-meme-gif-pack

Your own site · 80×15
<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>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 974 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 10d ago against content hash cf79edf3f32e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/dense_frames.py, scripts/imagegen_client.py, scripts/meme_pack.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/generate-meme-gif-pack/SKILL.md · 76 lines

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, or preview
  • image provider: codex_builtin_image_gen, openai_images_api, external_files, or ai_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:

Read the full file on GitHub · 76 lines

Changes

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.

  1. 10d ago First seen · 76 lines · 0 tokens per session scan A cf79edf3f32e

Subscribe to this mod's changes

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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