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 skills add hanhuark/mechanical-engineering-research-skill --skill mechanical-engineering-researchgit clone --depth 1 https://github.com/hanhuark/mechanical-engineering-research-skillWrote 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/hanhuark/mechanical-engineering-research-skill/mechanical-engineering-research)<a href="https://agentmods.dev/skills/hanhuark/mechanical-engineering-research-skill/mechanical-engineering-research"><img src="https://agentmods.dev/badge/skills/hanhuark/mechanical-engineering-research-skill/mechanical-engineering-research/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/hanhuark/mechanical-engineering-research-skill/mechanical-engineering-research"><img src="https://agentmods.dev/badge/skills/hanhuark/mechanical-engineering-research-skill/mechanical-engineering-research.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00122 | $0.02066 |
| Opus 5 | $0.00061 | $0.01033 |
| Sonnet 5 | $0.00024 | $0.00413 |
| Haiku 4.5 | $0.00012 | $0.00207 |
Grade A, and why
mechanical-engineering-research 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 today.
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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mechanical Engineering Research
Skill Suite
Use this skill as the cross-cutting coordinator when a request spans multiple research activities. For a focused deliverable, use the specialist skill that owns it:
- thermal-fluid-analysis: thermal-fluid physics, experiments, CFD, correlations, uncertainty, scaling, and design tradeoffs.
- research-writing-literature: literature synthesis, citations, introductions, manuscript sections, and figure-led discussion.
- research-proposal-development: solicitation-aligned proposals, review criteria, preliminary results, milestones, risks, and proposal figures.
- research-data-analysis: baseline cases, hypothesis-driven DOE, reproducible analysis, plots, CFD/experimental data, and ML evaluation.
- research-slide-design: research talks, posters, visual logic, speaker notes, and presentation QA.
- research-schematic-design: publication-quality editable facility, mechanism, workflow, and graphical-abstract schematics.
- research-mentor-review: constructive student-facing feedback with prioritized, actionable next steps.
- reviewer-author-loop: iterative reviewer critique, author revision, verification, and re-review.
The coordinator retains the evidence and integrity gates below. Do not load all specialist skills by default; select the smallest combination that fits the actual deliverable.
Core Workflow
- Define the engineering decision or research question.
- Identify the system, geometry, materials or fluid, operating regime, boundary and initial conditions, outputs, constraints, and intended user.
- Ask only for missing information that materially changes scientific validity or the work path. Otherwise state bounded assumptions and proceed.
What ships with it
35 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.
- agents/openai.yaml 371 B
- assets/templates/benchmark-dataset-readme.md 1.4 KB
- assets/templates/claim-evidence-ledger.csv 146 B
- assets/templates/data-rights-manifest.csv 202 B
- assets/templates/reproducibility-manifest.json 353 B
- assets/templates/response-to-reviewers.md 1.5 KB
- assets/templates/reviewer-response-matrix.csv 146 B
- assets/templates/symbol-unit-convention-ledger.csv 156 B
- references/ai-tools-thermal-fluids.md 7.1 KB
- references/anti-formulaic-writing.md 3.0 KB
- references/brief-template.md 1.4 KB
- references/citation-integrity.md 3.8 KB
- references/data-provenance-and-release.md 3.9 KB
- references/dataset-software-review.md 3.0 KB
- references/experimental-design-and-uncertainty.md 3.8 KB
- references/han-hu-research-style.md 7.3 KB
- references/han-hu-style-calibration-protocol.md 2.1 KB
- references/innovation-commercialization.md 13 KB
- references/literature-review.md 13 KB
- references/manuscript-revision-submission.md 6.2 KB
- references/model-verification-and-ml-credibility.md 3.7 KB
- references/paper-writing-style.md 13 KB
- references/presentation-slides.md 14 KB
- references/proposal-development.md 21 KB
- references/research-coding.md 8.1 KB
- references/research-logo-and-identity.md 5.2 KB
- references/research-toolchain.md 6.8 KB
- references/result-change-and-construct-audit.md 2.2 KB
- references/review-article-workflow.md 8.1 KB
- references/scientific-figure-and-artifact-qa.md 4.6 KB
- references/teaching-mechanical-engineering.md 1.6 KB
- references/technical-writing-analysis.md 8.4 KB
- scripts/audit_data_manifest.py 3.5 KB runs code
- scripts/audit_latex_project.py 9.1 KB runs code
- scripts/audit_style_calibration.py 3.6 KB runs code
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.
- today Changed · +17 lines 625afe04f270
- 10d ago First seen · 87 lines · 122 tokens per session scan A 89b1d16810d0
mechanical-engineering-research is a skill published in the GitHub repository hanhuark/mechanical-engineering-research-skill (16 stars, last pushed yesterday), licensed MIT. It adds 122 tokens to every session and 2,066 once invoked, about $0.0006 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.
Other skills, from other repositories
deep-research
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
dfam-check
Measure mesh files against Design for Additive Manufacturing (DfAM) rules and report printability findings per process (FDM, SLS, SLA/DLP, metal PBF, MJF). Use when the user asks whether a part is printable, wants overhang/wall-thickness/support analysis of an .stl, .obj, .ply, or .3mf mesh, wants a build-orientation…
cuopt-numerical-optimization-formulation
LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.
nemo-mbridge-perf-expert-parallel-overlap
Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlapmoeexpertparallelcomm, delaywgradcompute, and flex dispatcher backends such as DeepEP and HybridEP.
earth2studio-create-datasource
Create and validate Earth2Studio data source wrappers (DataSource, ForecastSource, DataFrameSource, ForecastFrameSource) from remote stores. Do NOT use for fetching data with existing sources, model inference, or installation tasks.
earth2studio-data-fetch
Fetch weather/climate data via Earth2Studio data sources for specific variables and times. Do NOT use for inference pipelines, model discovery, or installation.