Borrowing it
Nothing to install: this file belongs to psu-efd/pyHMT2D. 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/psu-efd/pyHMT2D/main/.agents/skills/hmt-convert/SKILL.mdgit clone --depth 1 https://github.com/psu-efd/pyHMT2DWrote 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/psu-efd/pyhmt2d/hmt-convert)<a href="https://agentmods.dev/skills/psu-efd/pyhmt2d/hmt-convert"><img src="https://agentmods.dev/badge/skills/psu-efd/pyhmt2d/hmt-convert/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/psu-efd/pyhmt2d/hmt-convert"><img src="https://agentmods.dev/badge/skills/psu-efd/pyhmt2d/hmt-convert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00093 | $0.00754 |
| Opus 5.5 | $0.00037 | $0.00302 |
| Sonnet 5.5 | $0.00019 | $0.00151 |
| Haiku 4.5 | $0.00009 | $0.00075 |
Grade A, and why
hmt-convert 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 2mo 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convert between hydraulic model formats using stateless conversion tools. No open project or session is required.
Usage
/hmt-convert [description of what to convert]
Supported conversions
| Conversion | Tool |
|---|---|
HEC-RAS 2D mesh + Manning's n → SRH-2D (.srhgeom, .srhmat) |
ras_to_srh |
| SRH-2D HDF results → VTK | srh_to_vtk |
| SRH-2D mesh only → VTK | srh_to_vtk with mesh_only: true |
Steps
-
Determine the conversion type from the user's request or arguments. If unclear, ask:
- "Do you want to convert HEC-RAS to SRH-2D, or export SRH-2D results/mesh to VTK?"
-
Collect required file paths. If the user did not provide them, scan the current directory for relevant files:
hmt-cli list_model_files --args '{"directory": "."}'For
ras_to_srh: need.hdfresult file, terrain.tif, and desired output case name. Forsrh_to_vtk: need.srhhydrofile and either the HDF result file or output VTK filename. -
Run the conversion.
HEC-RAS → SRH-2D:
hmt-cli ras_to_srh --args '{"ras_hdf_file": "<path>", "terrain_tif_file": "<path>", "srh_case_name": "<name>"}'Report the generated
.srhgeomand.srhmatfiles. Remind the user that a.srhhydroboundary-condition file must be created separately.SRH-2D results → VTK (last time step):
hmt-cli srh_to_vtk --args '{"srhhydro_file": "<path>", "output_file": "<result.h5>"}'SRH-2D results → VTK (all time steps):
hmt-cli srh_to_vtk --args '{"srhhydro_file": "<path>", "output_file": "<result.h5>", "all_timesteps": true}'SRH-2D mesh only → VTK:
hmt-cli srh_to_vtk --args '{"srhhydro_file": "<path>", "output_file": "<mesh.vtk>", "mesh_only": true}' -
Report output files and suggest next steps:
- For HEC-RAS → SRH-2D: "Create a
.srhhydrofile to complete the SRH-2D case, then run/hmt-opento open it." - For VTK output: "Open the VTK file(s) in ParaView to visualize the results."
- For HEC-RAS → SRH-2D: "Create a
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.
- 2mo ago First seen · 61 lines · 93 tokens per session scan A a1538fbdd656
hmt-convert is a skill published in the GitHub repository psu-efd/pyHMT2D (134 stars, last pushed 2mo ago), licensed MIT. It adds 93 tokens to every session and 754 once invoked, about $0.0004 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.
hmt-convert compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| hmt-convertpsu-efd/pyHMT2D | Skill | 134 | 2mo ago | MIT | A | 93 | Claude Code, Codex |
| academic-paper-reviewbytedance/deer-flow | Skill | 85k | yesterday | MIT | A | 95 | Claude Code, Codex |
| personal-genomicssammcj/agentic-coding | Skill | 168 | 2d ago | Apache-2.0 | A | 56 | Claude Code |
| huggingface-vision-trainermetaspartan/cybara | Skill | 34 | yesterday | MIT | A | 37 | Claude Code, Codex |
| huggingface-papersmetaspartan/cybara | Skill | 34 | yesterday | MIT | A | 30 | Claude Code, Codex |
| publish-the-run-that-did-not-workbrcampidelli/chimera-agent | Skill | 29 | yesterday | Apache-2.0 | A | 38 | Claude Code, Codex |
| suap-iff-apipedroiff0/awesome-skills | Skill | 1 | 14d ago | MIT | A | 102 | Claude Code, Codex |