CCG is a command-line workflow engine that coordinates Claude, Codex, Gemini, and other models as specialized collaborators on coding tasks. It is used to analyze requests, choose a strategy, delegate work to model-specific roles, and combine their results. The catalogue entries provide the skills, commands, agents, and plugin that implement this workflow.
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 fengshao1227/ccg-workflow --skill animategit clone --depth 1 https://github.com/fengshao1227/ccg-workflowWrote 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/fengshao1227/ccg-workflow/animate)<a href="https://agentmods.dev/skills/fengshao1227/ccg-workflow/animate"><img src="https://agentmods.dev/badge/skills/fengshao1227/ccg-workflow/animate.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 5.1 | $0.00053 | $0.01757 |
| Opus 5 | $0.00026 | $0.00879 |
| Sonnet 5 | $0.00011 | $0.00351 |
| Haiku 4.5 | $0.00005 | $0.00176 |
Grade A, and why
animate 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 7d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- animate — 98% identical, 2 lines differ
- animate — 98% identical, 2 lines differ
- animate — 95% identical, 7 lines differ
- animate — 95% identical, 63 lines differ
- animate — 95% identical, 7 lines differ
- animate — 92% identical, 10 lines differ
- animate — 92% identical, 10 lines differ
- animate — 92% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze a feature and strategically add animations and micro-interactions that enhance understanding, provide feedback, and create delight.
MANDATORY PREPARATION
Invoke /frontend-design — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /teach-impeccable first. Additionally gather: performance constraints.
Assess Animation Opportunities
Analyze where motion would improve the experience:
-
Identify static areas:
- Missing feedback: Actions without visual acknowledgment (button clicks, form submission, etc.)
- Jarring transitions: Instant state changes that feel abrupt (show/hide, page loads, route changes)
- Unclear relationships: Spatial or hierarchical relationships that aren't obvious
- Lack of delight: Functional but joyless interactions
- Missed guidance: Opportunities to direct attention or explain behavior
-
Understand the context:
- What's the personality? (Playful vs serious, energetic vs calm)
- What's the performance budget? (Mobile-first? Complex page?)
- Who's the audience? (Motion-sensitive users? Power users who want speed?)
- What matters most? (One hero animation vs many micro-interactions?)
If any of these are unclear from the codebase, Ask the user using AskUserQuestion.
CRITICAL: Respect prefers-reduced-motion. Always provide non-animated alternatives for users who need them.
Plan Animation Strategy
Create a purposeful animation plan:
- Hero moment: What's the ONE signature animation? (Page load? Hero section? Key interaction?)
- Feedback layer: Which interactions need acknowledgment?
- Transition layer: Which state changes need smoothing?
- Delight layer: Where can we surprise and delight?
IMPORTANT: One well-orchestrated experience beats scattered animations everywhere. Focus on high-impact moments.
Implement Animations
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.
- 7d ago First seen · 175 lines · 53 tokens per session scan A 645d55222c1c
animate is a skill published in the GitHub repository fengshao1227/ccg-workflow (5,875 stars, last pushed 4d ago), licensed MIT. It adds 53 tokens to every session and 1,757 once invoked, about $0.0003 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 2026-08-30.
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