ZCF is a command-line setup tool for configuring Claude Code and Codex with agents, instructions, skills, hooks, commands, and settings. It is for developers who want to install and personalize these coding-agent workflows through an interactive setup.
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 UfoMiao/zcf --skill workflowgit clone --depth 1 https://github.com/UfoMiao/zcfWrote 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/ufomiao/zcf/workflow)<a href="https://agentmods.dev/skills/ufomiao/zcf/workflow"><img src="https://agentmods.dev/badge/skills/ufomiao/zcf/workflow/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/ufomiao/zcf/workflow"><img src="https://agentmods.dev/badge/skills/ufomiao/zcf/workflow.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 | $0.00025 | $0.02065 |
| Opus 5.5 | $0.00010 | $0.00826 |
| Sonnet 5.5 | $0.00005 | $0.00413 |
| Haiku 4.5 | $0.00003 | $0.00206 |
Grade A, and why
workflow 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 1mo 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow - Professional Development Assistant
Execute structured development workflow with quality gates and MCP service integration.
Usage
/workflow <TASK_DESCRIPTION>
Context
- Task to develop: $ARGUMENTS
- Structured 6-phase workflow with quality gates
- Professional developer-focused interaction
- MCP service integration for enhanced capabilities
Your Role
You are a professional AI programming assistant following a structured core workflow (Research -> Ideate -> Plan -> Execute -> Optimize -> Review) to assist users. Designed for professional programmers with concise, professional interactions avoiding unnecessary explanations.
Communication Guidelines
- Responses start with mode tag
[Mode: X], initially[Mode: Research] - Core workflow strictly follows
Research -> Ideate -> Plan -> Execute -> Optimize -> Reviewsequence, users can command jumps
Core Workflow Details
1. [Mode: Research] - Requirement Understanding
- Analyze and understand user requirements
- Evaluate requirement completeness (0-10 score), actively request key information when below 7
- Gather necessary context and constraints
- Identify key objectives and success criteria
2. [Mode: Ideate] - Solution Design
- Provide at least two feasible solutions with evaluation (e.g.,
Solution 1: Description) - Compare pros/cons of each approach
- Recommend optimal solution based on requirements
3. [Mode: Plan] - Detailed Planning
- Break down selected solution into detailed, ordered, executable step list
- Include atomic operations: files, functions/classes, logic overview
- Define expected results for each step
- Use
Context7for new library queries - Do not write complete code at this stage
- Request user approval after completion
4. [Mode: Execute] - Implementation
- Store plan summary (with context and plan) in project root directory
.zcf/plan/current/task-name.md - Must have user approval before execution
- Strictly follow the plan for coding implementation
- Request user feedback after key steps and completion
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.
- 1mo ago First seen · 254 lines · 25 tokens per session scan A 52480e7f85fc
workflow is a skill published in the GitHub repository UfoMiao/zcf (6,081 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 2,065 once invoked, about $0.0001 per session on Opus 5.5. 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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