ty-thermofluid-modeling

ty-thermofluid-modeling is a skill for Codex from Suzhou-Tongyuan/sysplorer-mcp-server. It costs 154 tokens per session (1,750 once invoked), scanned A, original, MIT.

A domain add-on for building, fixing, checking, reviewing, and packaging heat-flow and air-system models in Sysplorer. It covers heat exchangers, ventilation, heating and cooling systems, and environmental control.

In plain words
What is it for?
Use it for thermofluid, heat-transfer, air-treatment, ventilation, HVAC, and environmental-control model work in Sysplorer.
Why use it?
It gives these physical models focused checks and workflows without replacing the main Sysplorer modeling rules. It also makes clear when named commercial libraries are required.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for thermofluid, heat-transfer, air-treatment, ventilation, HVAC, and environmental-control model work in Sysplorer.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/suzhou-tongyuan/sysplorer-mcp-server/ty-thermofluid-modeling
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 Suzhou-Tongyuan/sysplorer-mcp-server --skill ty-thermofluid-modeling
Clone the repo
git clone --depth 1 https://github.com/Suzhou-Tongyuan/sysplorer-mcp-server

Made for: 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 ty-thermofluid-modeling

README.md
[![agentmods](https://agentmods.dev/badge/skills/suzhou-tongyuan/sysplorer-mcp-server/ty-thermofluid-modeling/github.svg)](https://agentmods.dev/skills/suzhou-tongyuan/sysplorer-mcp-server/ty-thermofluid-modeling)
Your own site
<a href="https://agentmods.dev/skills/suzhou-tongyuan/sysplorer-mcp-server/ty-thermofluid-modeling"><img src="https://agentmods.dev/badge/skills/suzhou-tongyuan/sysplorer-mcp-server/ty-thermofluid-modeling/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 ty-thermofluid-modeling

Your own site · 80×15
<a href="https://agentmods.dev/skills/suzhou-tongyuan/sysplorer-mcp-server/ty-thermofluid-modeling"><img src="https://agentmods.dev/badge/skills/suzhou-tongyuan/sysplorer-mcp-server/ty-thermofluid-modeling.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 1,750 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 $0.01750
Opus 5.5 $0.00062 $0.00700
Sonnet 5.5 $0.00031 $0.00350
Haiku 4.5 $0.00015 $0.00175

Measured 19d ago against content hash 322b2bb73832, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ty-thermofluid-modeling 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 19d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/helpers/extract-required-params.py, scripts/helpers/verify-key-results.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

resources/modeling_skills/ty-thermofluid-modeling/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TY Thermofluid Modeling

Use this only as a thin domain add-on to ty-sysplorer-modeling-rules. The parent skill owns routing, seven gates, layout timing, repair loop, and delivery evidence.

Parent Contract and MCP 0.4

Use ../ty-sysplorer-modeling-rules/references/shared-standards.md as the authority for MCP classification, session reuse, failure parsing, and retry control; use ../ty-sysplorer-modeling-rules/workflows/seven-gates-validation.md for validation depth, Gate 6, and completion status. Offline/source-only tasks make no session calls. Existing concrete failures are led by the independent debugging entry defined by the parent; this domain skill supplies targeted evidence without restarting a build. Failures during a new build remain in the original task.

Stop at the requested terminal stage. Result variables, KPI, plots, animation, and formal reports are required only when requested or necessary for the agreed acceptance criterion; otherwise mark them not_required. Do not infer proxy metrics merely to fill a checklist. A successful simulation and verified physical results are separate claims.

MCP 0.4 uses model_inspect for classes/components/ports/text queries, compare_model for comparisons, and model_manager for lifecycle operations. call_code accepts only run_sysplorer_api or its run_script alias with a required object payload and explicit ModelingPy import. Check/translate/simulate may automatically write layout back to a loaded user file, even without reload_mo_path; they are not read-only review tools. Follow the parent authorization boundary and record any actual graphical change under Gate 6.

Minimal Reading

All references/... and workflows/... paths in this skill are relative to this skill directory (the folder that contains this SKILL.md), not the workspace root or any parent skills/ directory.

Need Read
Requirement classification references/requirement-map.md
Library / component mapping references/library-selection.md, references/component-map.md, references/fallback-strategy.md
Media references/media-selection.md
Parameters / modeling rules references/parameter-rules.md, references/modeling-rules.md
Validation references/validation-rules.md
Repair references/common-errors.md
Acceptance references/acceptance-checklist.md, references/output-contract.md
Manual lookup references/manual-index.md only when concise references are insufficient

Read the full file on GitHub · 80 lines

Files

What ships with it

34 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 19d ago First seen · 80 lines · 154 tokens per session scan A 322b2bb73832

Subscribe to this mod's changes

ty-thermofluid-modeling is a skill published in the GitHub repository Suzhou-Tongyuan/sysplorer-mcp-server (10 stars, last pushed 20d ago), licensed MIT. It adds 154 tokens to every session and 1,750 once invoked, about $0.0006 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 2026-10-13.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

exploratory-data-analysis

Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 44 tokens

phylogenetics

Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein…

K-Dense-AI/scientific-agent-skills · 71 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

presenting-conference-talks

Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.

Orchestra-Research/AI-Research-SKILLs · 53 tokens