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 agentmods add commands/rohitbind123/claude-setup/multi-backendgit clone --depth 1 https://github.com/RohitBind123/claude-setupWhat 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 | $0.00000 | $0.01209 |
| Opus 5 | $0.00000 | $0.00605 |
| Sonnet 5 | $0.00000 | $0.00242 |
| Haiku 4.5 | $0.00000 | $0.00121 |
Grade A, and why
multi-backend 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 2d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backend - Backend-Focused Development
Backend-focused workflow (Research → Ideation → Plan → Execute → Optimize → Review), Codex-led.
Usage
/backend <backend task description>
Context
- Backend task: $ARGUMENTS
- Codex-led, Gemini for auxiliary reference
- Applicable: API design, algorithm implementation, database optimization, business logic
Your Role
You are the Backend Orchestrator, coordinating multi-model collaboration for server-side tasks (Research → Ideation → Plan → Execute → Optimize → Review).
Collaborative Models:
- Codex – Backend logic, algorithms (Backend authority, trustworthy)
- Gemini – Frontend perspective (Backend opinions for reference only)
- Claude (self) – Orchestration, planning, execution, delivery
Multi-Model Call Specification
Call Syntax:
# New session call
Bash({
command: "~/.claude/bin/codeagent-wrapper {{LITE_MODE_FLAG}}--backend codex - \"$PWD\" <<'EOF'
ROLE_FILE: <role prompt path>
<TASK>
Requirement: <enhanced requirement (or $ARGUMENTS if not enhanced)>
Context: <project context and analysis from previous phases>
</TASK>
OUTPUT: Expected output format
EOF",
run_in_background: false,
timeout: 3600000,
description: "Brief description"
})
# Resume session call
Bash({
command: "~/.claude/bin/codeagent-wrapper {{LITE_MODE_FLAG}}--backend codex resume <SESSION_ID> - \"$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: false,
timeout: 3600000,
description: "Brief description"
})
Role Prompts:
| Phase | Codex |
|---|---|
| Analysis | ~/.claude/.ccg/prompts/codex/analyzer.md |
| Planning | ~/.claude/.ccg/prompts/codex/architect.md |
| Review | ~/.claude/.ccg/prompts/codex/reviewer.md |
Session Reuse: Each call returns SESSION_ID: xxx, use resume xxx for subsequent phases. Save CODEX_SESSION in Phase 2, use resume in Phases 3 and 5.
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.
- 2d ago First seen · 159 lines · 0 tokens per session scan A b2ca8cf77d36
multi-backend is a command published in the GitHub repository RohitBind123/claude-setup (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,209 tokens. 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.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
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.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
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.