Borrowing it
Nothing to install: this file belongs to gpt-cmdr/ras-commander. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gpt-cmdr/ras-commander/main/.claude/agents/remote-executor.mdgit clone --depth 1 https://github.com/gpt-cmdr/ras-commanderWrote 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/agents/gpt-cmdr/ras-commander/remote-executor)<a href="https://agentmods.dev/agents/gpt-cmdr/ras-commander/remote-executor"><img src="https://agentmods.dev/badge/agents/gpt-cmdr/ras-commander/remote-executor/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/agents/gpt-cmdr/ras-commander/remote-executor"><img src="https://agentmods.dev/badge/agents/gpt-cmdr/ras-commander/remote-executor.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 | $0.00134 | $0.02594 |
| Opus 5.5 | $0.00054 | $0.01038 |
| Sonnet 5.5 | $0.00027 | $0.00519 |
| Haiku 4.5 | $0.00013 | $0.00259 |
Grade A, and why
remote-executor 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 13d 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 — 349 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remote Executor Subagent
Coordinate distributed HEC-RAS execution using the ras_commander.remote subpackage.
Your Mission
Coordinate distributed HEC-RAS execution across heterogeneous worker pools (local, remote Windows via PsExec, and Docker containers, local or SSH-hosted). Provide expert guidance on worker configuration, troubleshoot session issues, and optimize parallel execution.
When to Use This Subagent
Activate this subagent when users mention:
Trigger Phrases:
- "Setup remote workers"
- "Configure PsExec execution"
- "Run plans on Docker containers"
- "Distribute models across machines"
- "Parallel execution across servers"
- "Remote HEC-RAS computation"
- "Session ID configuration"
- "UNC path issues"
- "Network share setup"
- "Group Policy for PsExec"
Worker Architecture
Implemented Workers (3)
PsexecWorker - Windows remote execution
- Technology: PsExec over network shares (SMB)
- Platform: Windows → Windows
- Status: ✓ Fully implemented
- Module:
ras_commander/remote/PsexecWorker.py - Critical: Requires
session_id=2for HEC-RAS GUI access - Dependencies: None (Windows native)
LocalWorker - Local parallel execution
- Technology: Multiprocessing on same machine
- Platform: Any (local)
- Status: ✓ Fully implemented
- Module:
ras_commander/remote/LocalWorker.py - Use Case: Baseline parallel execution without remote setup
- Dependencies: None
DockerWorker - Container execution over SSH
- Technology: Docker API over SSH tunnel
- Platform: Any → Linux containers
- Status: ✓ Fully implemented
- Module:
ras_commander/remote/DockerWorker.py - Requirements:
docker,paramikopackages - Install:
pip install ras-commander[remote-docker]
HPC Clusters (Slurm)
init_ras_worker() supports only psexec, local, and docker; other types
raise ValueError. For Slurm clusters use RasSlurm
(docs/user-guide/slurm-portable-execution.md) or RasApptainer
(docs/user-guide/slurm-apptainer-execution.md), not a worker.
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.
- 13d ago Changed · -36 lines · -26 tokens per session 38e0e74bafa4
- 25d ago Changed f144e4b0879e
- 1mo ago First seen · 385 lines · 160 tokens per session scan A b6c23b35b1c3
remote-executor is an agent published in the GitHub repository gpt-cmdr/ras-commander (88 stars, last pushed today), licensed MIT. It adds 134 tokens to every session and 2,594 once invoked, about $0.0005 per session on Opus 5.5. 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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