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-results/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-results)<a href="https://agentmods.dev/skills/psu-efd/pyhmt2d/hmt-results"><img src="https://agentmods.dev/badge/skills/psu-efd/pyhmt2d/hmt-results.svg" alt="Measured on agentmods" 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 | $0.00044 | $0.00531 |
| Opus 5 | $0.00022 | $0.00266 |
| Sonnet 5 | $0.00009 | $0.00106 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
hmt-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 8d 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.
What it actually says
Load simulation results and query values at points, domain-wide statistics, flood extent, or cross-section profiles.
Prerequisites
A project must be open. A result file (.h5 or .hdf) must exist.
Steps
-
Find the result file. Check
.hmt_session.jsonforresult_file. If not set, inspect any.h5/.hdffile:hmt-cli get_result_variables --args '{"result_file": "<path>"}'If multiple result files exist, ask the user which one to use.
-
Load the results.
hmt-cli read_results --args '{"result_file": "<path>", "timestep": -1}'Report: available variable names, number of time steps.
-
Ask the user what they want to query. Offer these options:
a) Value at a point — ask for x, y, variable name:
hmt-cli get_value_at_point --args '{"x": <x>, "y": <y>, "variable": "<var>"}'b) Domain-wide statistics — ask for variable name:
hmt-cli get_result_statistics --args '{"variable": "<var>"}'Report: min, max, mean, std, number of cells.
c) Flood extent — ask for depth threshold (default 0.01 m):
hmt-cli get_flood_extent --args '{"depth_threshold": <threshold>}'Report: flooded area in m² and km², percentage of domain flooded.
d) Cross-section profile — ask for two (x,y) endpoints and variable:
hmt-cli get_cross_section_profile --args '{"x1": <x1>, "y1": <y1>, "x2": <x2>, "y2": <y2>, "variable": "<var>", "n_points": 50}'Present as a table: Distance (m) | X | Y | Value.
-
Offer further queries or suggest
/hmt-exportto create VTK files.
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.
- 8d ago First seen · 52 lines · 44 tokens per session scan A aff8e720674b
hmt-results is a skill published in the GitHub repository psu-efd/pyHMT2D (131 stars, last pushed 29d ago), licensed MIT. It adds 44 tokens to every session and 531 once invoked, about $0.0002 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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