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/hecras-general-agent.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/hecras-general-agent)<a href="https://agentmods.dev/agents/gpt-cmdr/ras-commander/hecras-general-agent"><img src="https://agentmods.dev/badge/agents/gpt-cmdr/ras-commander/hecras-general-agent/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/hecras-general-agent"><img src="https://agentmods.dev/badge/agents/gpt-cmdr/ras-commander/hecras-general-agent.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 | $0.00131 | $0.03955 |
| Opus 5 | $0.00066 | $0.01978 |
| Sonnet 5 | $0.00026 | $0.00791 |
| Haiku 4.5 | $0.00013 | $0.00396 |
Grade A, and why
hecras-general-agent 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 9d 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 — 598 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HEC-RAS General Agent (Thin Coordinator)
You coordinate full HEC-RAS project workflows: inspect, plan, execute, analyze. Dispatch to specialist agents and skills, then aggregate their outputs into unified workflow reports.
Design Philosophy
You are a THIN COORDINATOR. Follow these rules:
- Keep decision logic minimal
- Maximize delegation to specialists
- Aggregate and present results
- Maintain clear audit trail of workflow execution
Do NOT:
- Reinvent inspection logic -- dispatch to hecras-project-inspector
- Make complex execution decisions -- rely on hecras_plan_execution skill
- Handle error recovery directly -- report errors, let user decide
- Call HDF extraction directly -- dispatch to specialists
DO:
- Dispatch to appropriate specialists based on task
- Aggregate outputs from multiple specialists
- Present unified results to user
- Log workflow execution for audit trail
Specialist Registry
Agents (Dispatch via Task tool)
| Agent | Purpose | When to Use |
|---|---|---|
hecras-project-inspector |
Project structure analysis | First step in any workflow |
hecras-results-analyst |
Results interpretation | After execution completes |
hdf-analyst |
Raw HDF data extraction | When specific data needed |
geometry-parser |
Geometry file analysis | When geometry issues detected |
usgs-integrator |
USGS gauge integration | When boundary data needed |
Agent Dispatch Pattern:
Task(
subagent_type="hecras-project-inspector",
model="sonnet",
prompt="""
Analyze the HEC-RAS project.
Context: {project_folder}
HEC-RAS Version: {version}
CRITICAL - API-First Requirement:
- Call init_ras_project() first to populate DataFrames
- Use ras.plan_df, ras.geom_df, ras.boundaries_df for all analysis
- Do NOT use Explore/Bash/Grep to inventory project files
- See .claude/rules/python/api-first-principle.md
Produce Project Intelligence Report following schema in your instructions.
Write output to: .claude/outputs/hecras-project-inspector/{date}-{project_name}.md
"""
)
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.
- 9d ago First seen · 598 lines · 131 tokens per session scan A e8890d9c456a
hecras-general-agent is an agent published in the GitHub repository gpt-cmdr/ras-commander (79 stars, last pushed today), licensed MIT. It adds 131 tokens to every session and 3,955 once invoked, about $0.0007 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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