ras-results

ras-results is a skill for Claude Code, Codex from Zhonghao1995/Agentic-HEC-RAS. It costs 154 tokens per session (1,036 once invoked), scanned A, original, MIT.

A tool for reading, comparing, and plotting HEC-RAS result files without having HEC-RAS installed. HEC-RAS is engineering software used to model river and flood flows, and these files contain its simulation results.

In plain words
What is it for?
Use it to review run quality, water levels, flows, velocities, flood depths, wet cells, boundary results, cross-sections, reference locations, and differences between two simulations.
Why use it?
It turns large simulation outputs into summaries, peaks, time series, and comparisons that are easier to inspect for quality checks and reporting. It can also show wet areas, depths, volumes, and timing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review run quality, water levels, flows, velocities, flood depths, wet cells, boundary results, cross-sections, reference locations, and differences between two simulations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhonghao1995/agentic-hec-ras/ras-results
Install

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.

Any agent
npx skills add Zhonghao1995/Agentic-HEC-RAS --skill ras-results
Clone the repo
git clone --depth 1 https://github.com/Zhonghao1995/Agentic-HEC-RAS

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ras-results

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhonghao1995/agentic-hec-ras/ras-results/github.svg)](https://agentmods.dev/skills/zhonghao1995/agentic-hec-ras/ras-results)
Your own site
<a href="https://agentmods.dev/skills/zhonghao1995/agentic-hec-ras/ras-results"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-hec-ras/ras-results/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.

agentmods 80×15 button for ras-results

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhonghao1995/agentic-hec-ras/ras-results"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-hec-ras/ras-results.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,036 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00154 $0.01036
Opus 5 $0.00077 $0.00518
Sonnet 5 $0.00031 $0.00207
Haiku 4.5 $0.00015 $0.00104

Measured 9d ago against content hash b5624daea67d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ras-results 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.

skills/ras-results/SKILL.md · 37 lines

How it starts

The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ras-results: read / compare / plot (no HEC-RAS needed)

Tools

Tool Does
ras_results_summary(hdf, top_n?) plan info, run_qa, unsteady summary, volume accounting, runtime, units_system + units, cross_sections (n, reaches, upstream / downstream, top_by_max_flow with max WSE / velocity / time), mesh_areas (n_cells, n_wet_cells, max_ws_max, max_depth + cell + time), reference_lines / reference_points / boundary_conditions peaks
ras_results_timeseries(hdf, kind?, location?, variable?, mesh?, max_points?) one series + peak, peak_time, min, mean, dt_seconds; kind = xsec (default; location 'River/Reach/Station' or the station; variable flow / water_surface / velocity / velocity_channel / flow_lateral), ref_line, ref_point, boundary (location = name; variable e.g. Flow, Water Surface), mesh_cell (mesh + location = cell id)
ras_results_compare(hdf_a, hdf_b, kind?, location?, variable?, mesh?, top_n?) at one location: delta_peak (+ %), peak_time_shift_min, rmse, nse_b_vs_a, flows also delta_volume; xsec with NO location: ranked (n increased / decreased / unchanged, top-N by change) + largest_change
`ras_plot(plot, hdf hdfs, labels?, out_png, kind?, location?, variable?, mesh?, reach?, title?)`

Procedure

  1. ras_results_summary(hdf) first: confirm run_qa.status is usable, learn the units, the cross-section labels (upstream / downstream / top_by_max_flow[].label), mesh names, reference line names.
  2. Numbers: ras_results_timeseries at the location the question is about (downstream XS for "outflow", a reference line for a 2D area, mesh_cell for one place on the mesh).
  3. What-if: ras_results_compare(hdf_a=baseline, hdf_b=variant, kind='xsec') for the ranked view, then the same with a location for the headline delta (flow AND water_surface).
  4. Figures into runs/<case>/03_plots/: hydrograph overlay at the headline location, profile for 1D reaches, mesh_max for 2D areas. Report the PNG paths the tool returned.

Read the full file on GitHub · 37 lines

Changes

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.

  1. 9d ago First seen · 37 lines · 154 tokens per session scan A b5624daea67d

Subscribe to this mod's changes

ras-results is a skill published in the GitHub repository Zhonghao1995/Agentic-HEC-RAS (1 stars, last pushed 24d ago), licensed MIT. It adds 154 tokens to every session and 1,036 once invoked, about $0.0008 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 2026-08-31.

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