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 littlewindy123/lianhuanhua-skills --skill lianhuanhuagit clone --depth 1 https://github.com/littlewindy123/lianhuanhua-skillsWrote 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/littlewindy123/lianhuanhua-skills/lianhuanhua)<a href="https://agentmods.dev/skills/littlewindy123/lianhuanhua-skills/lianhuanhua"><img src="https://agentmods.dev/badge/skills/littlewindy123/lianhuanhua-skills/lianhuanhua/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/littlewindy123/lianhuanhua-skills/lianhuanhua"><img src="https://agentmods.dev/badge/skills/littlewindy123/lianhuanhua-skills/lianhuanhua.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 | $0.00108 | $0.04203 |
| Opus 5 | $0.00054 | $0.02101 |
| Sonnet 5 | $0.00022 | $0.00841 |
| Haiku 4.5 | $0.00011 | $0.00420 |
Grade A, and why
lianhuanhua 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 12d 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 — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lianhuanhua
Create a complete, reproducible comic-video project. Codex directs the story and images. Bundled scripts handle audio, timelines, validation, and FFmpeg rendering.
Non-negotiable constraints
- Support Codex CLI workflow and local Studio V0.3.
- Use Doubao Speech 2.0 as the only hosted TTS provider.
- Use
X-Api-Resource-Id: seed-tts-2.0. - For TTS 2.0 timing, request
audio_params.enable_subtitle=true; do not rely on the TTS 1.0-onlyenable_timestampbehavior. - Default Studio image workflow is Codex automatic generation with node confirmations. Do not use visual inspection unless the user chooses strict review.
- Do not call text-to-video or image-to-video models.
- Never claim success until the final media passes ffprobe validation.
- Preserve raw service events and generated prompts for debugging and reproducibility.
- Do not generate all story panels in parallel when using Codex image generation. Generate anchors first, then panels sequentially.
- Default Studio image workflow is
mode=codex,review=none,repair=ask. - Before generating any panel from a reference image that looks like a meme, sticker, network character, IP, logo, text-marked character, or viral image, search the web and record the identity. Do not guess the species or identity from first glance.
- Studio-first startup: when the user says they want to create/start/make a Lianhuanhua video without already providing complete files and settings, launch or reuse the local Studio page first. Do not ask for story text, reference images, voice, ratio, or style in chat before opening Studio.
Resolve paths
Treat the directory containing this SKILL.md as SKILL_ROOT.
The CLI entry point is:
python "$SKILL_ROOT/scripts/lianhuanhua_cli.py"
Use an absolute path when the shell or operating system makes relative paths ambiguous.
Run the local Studio V0.3 web UI with:
python "$SKILL_ROOT/scripts/lianhuanhua_cli.py" studio --workspace <workspace>
What ships with it
60 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.
- .gitignore 41 B
- agents/openai.yaml 384 B
- assets/icon.svg 491 B
- assets/logo.svg 785 B
- assets/presets/healing.yaml 228 B
- assets/presets/sad.yaml 201 B
- assets/presets/warm.yaml 191 B
- assets/schemas/character_bible.schema.json 2.5 KB
- assets/schemas/continuity_ledger.schema.json 1.9 KB
- assets/schemas/narration_plan.schema.json 973 B
- assets/schemas/panel_reviews.schema.json 1.8 KB
- assets/schemas/project.schema.json 4.2 KB
- assets/schemas/prompts.schema.json 1.1 KB
- assets/schemas/storyboard.schema.json 3.7 KB
- assets/schemas/studio_state.schema.json 1.8 KB
- assets/schemas/style_bible.schema.json 865 B
- assets/schemas/timeline.schema.json 2.0 KB
- assets/templates/character_bible.json 931 B
- assets/templates/continuity_ledger.json 18 B
- assets/templates/narration_plan.json 331 B
- assets/templates/panel_reviews.json 20 B
- assets/templates/project.json 969 B
- assets/templates/storyboard.json 824 B
- assets/templates/studio_state.json 186 B
- assets/templates/style_bible.json 485 B
- assets/voice-catalog.json 99 KB
- references/audio-timeline.md 938 B
- references/character-consistency.md 3.1 KB
- references/doubao-tts-2.0.md 3.4 KB
- references/image-generation.md 3.1 KB
- references/output-contract.md 633 B
- references/rendering.md 1013 B
- references/storyboard-rules.md 1.1 KB
- references/troubleshooting.md 1.2 KB
- references/workflow.md 911 B
- scripts/lianhuanhua_cli.py 323 B runs code
- scripts/lianhuanhua/__init__.py 84 B runs code
- scripts/lianhuanhua/cli.py 10 KB runs code
- scripts/lianhuanhua/constants.py 656 B runs code
- scripts/lianhuanhua/doubao_protocol.py 5.5 KB runs code
- scripts/lianhuanhua/doubao_tts.py 14 KB runs code
- scripts/lianhuanhua/exporter.py 1.8 KB runs code
- scripts/lianhuanhua/media.py 2.9 KB runs code
- scripts/lianhuanhua/prompts.py 16 KB runs code
- scripts/lianhuanhua/renderer.py 8.2 KB runs code
- scripts/lianhuanhua/schema_validation.py 1.5 KB runs code
- scripts/lianhuanhua/storyboard.py 15 KB runs code
- scripts/lianhuanhua/studio.py 25 KB runs code
- scripts/lianhuanhua/subtitles.py 2.0 KB runs code
- scripts/lianhuanhua/timeline.py 5.5 KB runs code
- scripts/lianhuanhua/utils.py 3.0 KB runs code
- scripts/lianhuanhua/validation.py 11 KB runs code
- scripts/lianhuanhua/voice_catalog.py 2.8 KB runs code
- scripts/lianhuanhua/workspace.py 2.6 KB runs code
- scripts/requirements-asr.txt 43 B
- scripts/requirements-dev.txt 47 B
- scripts/requirements.txt 58 B
- studio_static/index.html 24 KB
- tests/test_prompts.py 6.4 KB runs code
- tests/test_protocol.py 4.2 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.
- 12d ago First seen · 366 lines · 108 tokens per session scan A a1ffc344863e
lianhuanhua is a skill published in the GitHub repository littlewindy123/lianhuanhua-skills (8 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 4,203 once invoked, about $0.0005 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 2026-08-31.
Other skills, from other repositories
pr-to-video
Turn a GitHub pull request (a PR URL, owner/repo#N, or 'this PR' in a checked-out repo) into a code-change explainer video — changelog, feature reveal, fix, or refactor walkthrough built from the diff, commits, and files: the input is a code change, not a website. Not a product promo (/product-launch-video) or a no-PR…
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
motion-graphics
A short, design-led motion graphic where motion is the message — kinetic typography, stat count-up, chart/data-viz hit, logo sting / brand lockup, lower-third / callout / social overlay, animated map (highlight regions, connect places, zoom to a location), animated tweet / news-article / headline, webpage / UI…
watch
File sentinel that monitors the working directory for changes and marker comments, then auto-triggers appropriate skills. Poll-based via git diff against the last scan commit. Writes intake items for batch processing and routes marker actions through /do. Use for automatic reactions to file changes; do NOT use for…
review
5-pass structured code review — correctness, security, performance, readability, consistency.
live-preview
Mid-build visual verification loop. Takes screenshots of components during construction, not just after. Catches visual regressions and invisible features before they compound. Requires Playwright or similar screenshot tool.