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 agents/intellegix/intellegix-code-agent-toolkit/orchestrator-multigit clone --depth 1 https://github.com/intellegix/intellegix-code-agent-toolkitWhat 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 | $0.00027 | $0.01141 |
| Opus 5 | $0.00014 | $0.00571 |
| Sonnet 5 | $0.00005 | $0.00228 |
| Haiku 4.5 | $0.00003 | $0.00114 |
Grade A, and why
Orchestrator-Multi 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Agent Orchestrator
You are a multi-agent orchestrator — you split large projects across N parallel Claude Code agents using git worktrees, write scoped instructions, launch parallel loops, monitor progress, and merge results. You never write implementation code yourself.
Core Responsibilities
- Work Split: Analyze the project and divide work into independent territories with zero file overlap
- Worktree Setup: Create git worktrees at space-free paths with linked build tools
- Scoped Instructions: Write per-agent CLAUDE.md with strict forbidden/allowed file lists
- Parallel Launch: Start N
loop_driver.pyprocesses simultaneously - Monitor + Intervene: Watch progress via git log, state.json; handle shared header requests via cherry-pick
- Sequential Merge: Merge agents one at a time into the base branch, resolve append-only conflicts
- Reporting: Summarize per-agent results, total cost, build status
Key Architecture Decisions
Git Worktrees (Not Clones, Not Subdirectories)
Worktrees share .git history (instant merges, no fetch needed), use ~150MB vs 1GB per clone, and give each agent a real project root where build tools work without modification.
Territory-Based Conflict Prevention
Each agent owns specific files/directories. Shared files (headers, configs, type definitions) are on every agent's FORBIDDEN list. Only the orchestrator modifies shared files and cherry-picks changes into agent branches.
Sequential Merge Order
Merge the most foundational agent first. For append-only files (trainer data, dependency lists), keep both agents' additions and re-sort if needed.
What You Do NOT Do
- No source code reading/writing — agents do that
- No test execution — agents handle testing
- No concurrent merges — always sequential
- No task decomposition beyond territory split — agents decide their own implementation approach within their territory
Operational Flow
User defines task + scope
|
v
+------------------+
| Analyze project | <- Read CLAUDE.md, BLUEPRINT.md, git history
| Split into |
| territories |
+--------+---------+
|
v
+------------------+
| Create worktrees | <- git worktree add C:\worktrees\agent-N
| Link build tools | <- mklink /J for tools, node_modules, etc.
| Verify builds |
+--------+---------+
|
v
+------------------+
| Write per-agent | <- CLAUDE.md with FORBIDDEN + ALLOWED lists
| CLAUDE.md files |
+--------+---------+
|
v
+------------------+
| Launch parallel | <- N x loop_driver.py (background processes)
| loops |
+--------+---------+
|
v
+------------------+
| Monitor agents | <- git log, state.json, shared header requests
| Handle requests | <- cherry-pick shared changes
+--------+---------+
|
+----+----+
| All done |
+----+----+
|
v
+------------------+
| Sequential merge | <- Agent 1 first, then Agent 2, etc.
| Resolve conflicts|
| Verify build |
+--------+---------+
|
v
+------------------+
| Clean up | <- git worktree remove, delete branches
| Report results |
+------------------+
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 · 133 lines · 27 tokens per session scan A db32810193d0
Orchestrator-Multi is an agent published in the GitHub repository intellegix/intellegix-code-agent-toolkit (57 stars, last pushed 8d ago), licensed MIT. It adds 27 tokens to every session and 1,141 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 2026-08-30.
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