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 boldergit 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/bolder)<a href="https://agentmods.dev/skills/fengshao1227/ccg-workflow/bolder"><img src="https://agentmods.dev/badge/skills/fengshao1227/ccg-workflow/bolder/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/fengshao1227/ccg-workflow/bolder"><img src="https://agentmods.dev/badge/skills/fengshao1227/ccg-workflow/bolder.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 | $0.00051 | $0.01473 |
| Opus 5 | $0.00026 | $0.00737 |
| Sonnet 5 | $0.00010 | $0.00295 |
| Haiku 4.5 | $0.00005 | $0.00147 |
Grade A, and why
bolder 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- bolder — 100% identical, 2 lines differ
- bolder — 100% identical, 2 lines differ
- bolder — 95% identical, 7 lines differ
- bolder — 95% identical, 33 lines differ
- bolder — 95% identical, 7 lines differ
- bolder — 92% identical, 14 lines differ
- bolder — 91% identical, 14 lines differ
- bolder — 91% identical, 14 lines differ
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Increase visual impact and personality in designs that are too safe, generic, or visually underwhelming, creating more engaging and memorable experiences.
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.
Assess Current State
Analyze what makes the design feel too safe or boring:
-
Identify weakness sources:
- Generic choices: System fonts, basic colors, standard layouts
- Timid scale: Everything is medium-sized with no drama
- Low contrast: Everything has similar visual weight
- Static: No motion, no energy, no life
- Predictable: Standard patterns with no surprises
- Flat hierarchy: Nothing stands out or commands attention
-
Understand the context:
- What's the brand personality? (How far can we push?)
- What's the purpose? (Marketing can be bolder than financial dashboards)
- Who's the audience? (What will resonate?)
- What are the constraints? (Brand guidelines, accessibility, performance)
If any of these are unclear from the codebase, Ask the user using AskUserQuestion.
CRITICAL: "Bolder" doesn't mean chaotic or garish. It means distinctive, memorable, and confident. Think intentional drama, not random chaos.
WARNING - AI SLOP TRAP: When making things "bolder," AI defaults to the same tired tricks: cyan/purple gradients, glassmorphism, neon accents on dark backgrounds, gradient text on metrics. These are the OPPOSITE of bold—they're generic. Review ALL the DON'T guidelines in the frontend-design skill before proceeding. Bold means distinctive, not "more effects."
Plan Amplification
Create a strategy to increase impact while maintaining coherence:
- Focal point: What should be the hero moment? (Pick ONE, make it amazing)
- Personality direction: Maximalist chaos? Elegant drama? Playful energy? Dark moody? Choose a lane.
- Risk budget: How experimental can we be? Push boundaries within constraints.
- Hierarchy amplification: Make big things BIGGER, small things smaller (increase contrast)
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 · 117 lines · 51 tokens per session scan A b265d45719a6
bolder is a skill published in the GitHub repository fengshao1227/ccg-workflow (5,879 stars, last pushed 5d ago), licensed MIT. It adds 51 tokens to every session and 1,473 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 2026-09-03.
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