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/gpt-cmdr/ras-commander/readmegit 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/readme)<a href="https://agentmods.dev/agents/gpt-cmdr/ras-commander/readme"><img src="https://agentmods.dev/badge/agents/gpt-cmdr/ras-commander/readme.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.03823 |
| Opus 5 | $0.00000 | $0.01912 |
| Sonnet 5 | $0.00000 | $0.00765 |
| Haiku 4.5 | $0.00000 | $0.00382 |
Grade A, and why
README 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 4d 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 — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Subagents - Specialist Agent Definitions
This directory contains definitions for specialist agents that handle specific domains within ras-commander workflows.
What are Subagents?
Subagents are AI assistants spawned by the main agent (Opus orchestrator) to handle specialized tasks. They:
- Inherit context automatically through Claude loader files that import the shared
AGENTS.mdhierarchy - Use specific models optimized for their role (Sonnet for specialists, Haiku for quick tasks)
- Access skills just like the main agent
- Work in focused directories to get relevant context
Three-Tier Architecture
Main Agent (Opus)
├─ High-level planning and delegation
├─ Loads: Root CLAUDE.md loader -> AGENTS.md + .claude/rules/**
└─ Spawns specialist agents when needed
Specialist Subagents (Sonnet)
├─ Domain expertise (HDF, geometry, remote, USGS)
├─ Inherit: Claude loader chain for the shared AGENTS.md contract
├─ Use: Library skills + domain skills
└─ Spawn task agents (Haiku) for quick ops
Task Subagents (Haiku)
├─ Fast, focused operations
├─ Single-file reads, simple transforms
└─ Cost-effective bulk operations
Implemented Subagents
Domain Specialists (Sonnet)
- hdf-analyst - HDF file analysis, results extraction
- geometry-parser - Geometry file parsing, cross-section analysis
- usgs-integrator - USGS gauge data integration and validation
- remote-executor - Distributed HEC-RAS execution
- precipitation-specialist - AORC and Atlas 14 workflows
- quality-assurance - RasFixit geometry repair
- rasmapper-spatial-reviewer - RASMapper spatial QA screenshots and contextual review
- win32com-automation-expert - COM automation, GUI interaction
- ras-commander-api-expert - API integration, dataframe structures, spawns explore subagents
- api-consistency-auditor - Enforces API conventions, detects pattern violations
HEC-RAS Operations System (Sonnet)
- hecras-project-inspector - Project intelligence, DataFrame analysis, execution readiness
- hecras-results-analyst - Results interpretation, quality assessment, anomaly detection
- hecras-general-agent - Thin coordinator for inspect→plan→execute→analyze workflows
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.
- 4d ago First seen · 393 lines · 0 tokens per session scan A 6c572b295e8c
README is an agent published in the GitHub repository gpt-cmdr/ras-commander (79 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,823 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 2026-08-30.
Other agents, from other repositories
codemap
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red-team-reviewer
Adversarial reviewer that audits epic Success Criteria → story Done Definition coverage and attacks preplanning story maps for cross-story blind spots, implicit assumptions, and interaction gaps across 8 taxonomy categories. Requires opus.
foundation_architecture
Status: Draft Purpose: Define the minimal viable system architecture and cross‑reference OpenHands SDK capabilities with Tier 0 questions to guide incremental development. Related: ./openhandsinsightsandprioritization.md, ./implementationquestions.md, ./design/multiagentorchestration.md.
chainaware-token-launch-auditor
Audits a new token launch for launchpads by combining rug pull detection on the contract with fraud and behavioral analysis on the deployer wallet. Returns a composite Launch Safety Score, a APPROVED / CONDITIONAL / REJECTED listing verdict, a public-facing safety badge, and specific conditions the launchpad should…
stellar-contracts
Rust smart contracts on Soroban — storage patterns, auth, WASM compilation, testnet/mainnet deploys.
ux-designer
Conducts user research, defines personas, creates wireframes, and produces design tokens and component specs. Runs once at the start of the Build phase when hasui is true. Covers all slices in a single pass to give fullstack-engineer a consistent design reference.