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 Poorgramer-Zack/copilot-mcp-tool --skill copilot-flow-integrationgit clone --depth 1 https://github.com/Poorgramer-Zack/copilot-mcp-toolWrote 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/poorgramer-zack/copilot-mcp-tool/copilot-flow-integration)<a href="https://agentmods.dev/skills/poorgramer-zack/copilot-mcp-tool/copilot-flow-integration"><img src="https://agentmods.dev/badge/skills/poorgramer-zack/copilot-mcp-tool/copilot-flow-integration/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/poorgramer-zack/copilot-mcp-tool/copilot-flow-integration"><img src="https://agentmods.dev/badge/skills/poorgramer-zack/copilot-mcp-tool/copilot-flow-integration.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 | $0.00025 | $0.01069 |
| Opus 5 | $0.00013 | $0.00535 |
| Sonnet 5 | $0.00005 | $0.00214 |
| Haiku 4.5 | $0.00003 | $0.00107 |
Grade A, and why
copilot-flow 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 9d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot Flow Integration
When to use this skill:
- When you need a structured AI-assisted development workflow
- When you want to leverage both Claude and Copilot's strengths
- When you require end-to-end task management from analysis to delivery
Triggering conditions:
- When user mentions "請 Copilot 協助" (Please ask Copilot to assist)
- When user says "詢問 Copilot" (Ask Copilot)
- When user requests "執行 copilot-flow" (Execute copilot-flow)
- When user starts with "copilot-flow:" or "c-flow:" prefix
Core Features
This skill orchestrates a complete 5-stage AI collaboration workflow:
- Analyze (Claude) - Requirements analysis and structuring
- Design (Copilot) - Architecture design and planning
- Implement (Claude) - Code implementation based on design
- Review (Copilot) - Code quality assessment
- Deliver (Claude) - Final integration and documentation
Workflow Commands
The workflow is managed through specialized slash commands in the /commands directory:
/copilot-flow:analyze [task description]
- Executes the analysis phase
- Claude analyzes requirements and prepares structured prompts
- Output:
analysis-result.md
/copilot-flow:design [goals]
- Executes the design phase using Copilot MCP
- Creates architecture design based on analysis
- Output:
architecture-design.md
/copilot-flow:implement [target]
- Executes implementation phase
- Claude implements code following Copilot's design
- Output: Source code files and
implementation-report.md
/copilot-flow:review [scope]
- Executes review phase using Copilot MCP
- Professional code review with focus areas
- Output:
code-review-report.md
/copilot-flow:deliver [objectives]
- Executes final delivery phase
- Claude integrates all results and documentation
- Output: Complete delivery package
Usage Patterns
Full Workflow Execution
For complete task execution, use the workflow orchestrator:
執行 copilot-flow 實現用戶認證系統
This will:
- Show preview of all stages
- Wait for confirmation
- Execute each stage in sequence
- Manage state between stages
- Provide final delivery package
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.
- 9d ago First seen · 156 lines · 25 tokens per session scan A 3462d6db5799
copilot-flow is a skill published in the GitHub repository Poorgramer-Zack/copilot-mcp-tool (8 stars, last pushed 4mo ago), licensed MIT. It adds 25 tokens to every session and 1,069 once invoked, about $0.0001 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.
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