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.
git clone --depth 1 https://github.com/RohitBind123/claude-setupWrote 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/commands/rohitbind123/claude-setup/multi-workflow)<a href="https://agentmods.dev/commands/rohitbind123/claude-setup/multi-workflow"><img src="https://agentmods.dev/badge/commands/rohitbind123/claude-setup/multi-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/commands/rohitbind123/claude-setup/multi-workflow"><img src="https://agentmods.dev/badge/commands/rohitbind123/claude-setup/multi-workflow.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 | $0.00000 | $0.01656 |
| Opus 5.5 | $0.00000 | $0.00662 |
| Sonnet 5.5 | $0.00000 | $0.00331 |
| Haiku 4.5 | $0.00000 | $0.00166 |
Grade A, and why
multi-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.
This is a copy
83% identical to multi-workflow — 27 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow - Multi-Model Collaborative Development
Multi-model collaborative development workflow (Research → Ideation → Plan → Execute → Optimize → Review), with intelligent routing: Frontend → Gemini, Backend → Codex.
Structured development workflow with quality gates, MCP services, and multi-model collaboration.
Usage
/workflow <task description>
Context
- Task to develop: $ARGUMENTS
- Structured 6-phase workflow with quality gates
- Multi-model collaboration: Codex (backend) + Gemini (frontend) + Claude (orchestration)
- MCP service integration (ace-tool) for enhanced capabilities
Your Role
You are the Orchestrator, coordinating a multi-model collaborative system (Research → Ideation → Plan → Execute → Optimize → Review). Communicate concisely and professionally for experienced developers.
Collaborative Models:
- ace-tool MCP – Code retrieval + Prompt enhancement
- Codex – Backend logic, algorithms, debugging (Backend authority, trustworthy)
- Gemini – Frontend UI/UX, visual design (Frontend expert, backend opinions for reference only)
- Claude (self) – Orchestration, planning, execution, delivery
Multi-Model Call Specification
Call syntax (parallel: run_in_background: true, sequential: false):
# New session call
Bash({
command: "~/.claude/bin/codeagent-wrapper {{LITE_MODE_FLAG}}--backend <codex|gemini> {{GEMINI_MODEL_FLAG}}- \"$PWD\" <<'EOF'
ROLE_FILE: <role prompt path>
<TASK>
Requirement: <enhanced requirement (or $ARGUMENTS if not enhanced)>
Context: <project context and analysis from previous phases>
</TASK>
OUTPUT: Expected output format
EOF",
run_in_background: true,
timeout: 3600000,
description: "Brief description"
})
# Resume session call
Bash({
command: "~/.claude/bin/codeagent-wrapper {{LITE_MODE_FLAG}}--backend <codex|gemini> {{GEMINI_MODEL_FLAG}}resume <SESSION_ID> - \"$PWD\" <<'EOF'
ROLE_FILE: <role prompt path>
<TASK>
Requirement: <enhanced requirement (or $ARGUMENTS if not enhanced)>
Context: <project context and analysis from previous phases>
</TASK>
OUTPUT: Expected output format
EOF",
run_in_background: true,
timeout: 3600000,
description: "Brief description"
})
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 · 184 lines · 0 tokens per session scan A f34aaf104f99
multi-workflow is a command published in the GitHub repository RohitBind123/claude-setup (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,656 tokens. A static security scan graded it A with 0 findings. It is 83% identical to multi-workflow, differing in 27 lines, and is treated as a copy.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.