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 cynthiajones34/GBrain --skill minion-orchestratorgit clone --depth 1 https://github.com/cynthiajones34/GBrainWrote 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/cynthiajones34/gbrain/minion-orchestrator)<a href="https://agentmods.dev/skills/cynthiajones34/gbrain/minion-orchestrator"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/minion-orchestrator/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/cynthiajones34/gbrain/minion-orchestrator"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/minion-orchestrator.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 | $0.00082 | $0.02754 |
| Opus 5 | $0.00041 | $0.01377 |
| Sonnet 5 | $0.00016 | $0.00551 |
| Haiku 4.5 | $0.00008 | $0.00275 |
Grade A, and why
minion-orchestrator 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 10d 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
100% identical to minion-orchestrator — 0 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 — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Minion Orchestrator
Contract
Minions is a Postgres-native job queue for durable, observable background work. This single skill handles two lanes:
- Deterministic shell jobs (
gbrain jobs submit shell ...) - LLM subagent jobs (
gbrain agent run ...)
When to route to Minions: durable, observable work that must survive restarts,
fan out across many parallel tasks, or persist across sessions. Routing policy
is defined in skills/conventions/subagent-routing.md — the project default is
pain_triggered (native subagents first, Minions after specific pain signals
fire); Mode A (all-through-Minions) is opt-in.
Guarantees:
- Jobs survive gateway restart (Postgres-backed)
- Every job has structured progress, token accounting, and session transcripts
- Running agents can be steered mid-flight via inbox messages
- Jobs can be paused, resumed, or cancelled at any time
- Parent-child DAGs with configurable failure policies
Route the Request: Shell Job vs Subagent
| Condition | Action |
|---|---|
| User asks for deterministic command/script run | Shell job (CLI: gbrain jobs submit shell ...) |
| User asks to "run in minions" + explicit command/argv | Shell job (CLI, --params with cmd or argv) |
| User asks for research/reasoning/iterative agent | Subagent job (CLI: gbrain agent run) |
| User asks to steer/pause/resume an agent | Subagent job lifecycle tools (MCP-callable) |
| Single simple operation under ~30s | Consider inline execution first |
| Needs restart durability/observability | Submit as Minion job |
| Parallel work (2+ streams) | gbrain agent run --fanout-manifest or parent + child subagents |
If intent is ambiguous, ask one clarification: "Do you want a deterministic shell command job, or an LLM agent job?"
Shell Jobs (Deterministic Scripts)
Use for reproducible command execution, ETL steps, cron work, and scriptable tasks where no LLM reasoning loop is needed.
Preconditions (read before submitting your first shell job)
GBRAIN_ALLOW_SHELL_JOBS=1must be set on the worker environment. Without it, the shell handler refuses to register and submissions sit inwaitingsilently. Gate lives insrc/core/minions/handlers/shell.ts.- Security: flipping
GBRAIN_ALLOW_SHELL_JOBS=1authorizes arbitrary command execution on the worker. On a shared queue, this is a remote code execution surface. Treat as privileged infrastructure authorization. - Execution mode — pick one:
- Postgres + daemon:
gbrain jobs workruns a persistent worker that claims and executes jobs from the queue. - PGLite + --follow:
gbrain jobs submit ... --followruns inline. The daemon mode is not available on PGLite (exclusive file lock). Seedocs/guides/minions-shell-jobs.md.
- Postgres + daemon:
- MCP boundary: shell-job submission is CLI-only.
submit_job name="shell"over MCP throws anOperationErrorwith codepermission_denied("'shell' jobs cannot be submitted over MCP") becauseshellis inPROTECTED_JOB_NAMES. Agents CAN observe shell jobs viaget_job/list_jobs/get_job_progress(not protected), but cannot submit them. Operator or autopilot submits; agent observes. - Verify setup: after configuration, run
gbrain jobs stats(CLI) to confirm the worker is registered and consuming the queue.
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.
- 10d ago First seen · 303 lines · 82 tokens per session scan A 669e23f48556
minion-orchestrator is a skill published in the GitHub repository cynthiajones34/GBrain (0 stars, last pushed 1mo ago), licensed MIT. It adds 82 tokens to every session and 2,754 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to minion-orchestrator, differing in 0 lines, and is treated as a copy.
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