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 HeshamFS/materials-simulation-skills --skill simulation-orchestratorgit clone --depth 1 https://github.com/HeshamFS/materials-simulation-skillsWrote 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/heshamfs/materials-simulation-skills/simulation-orchestrator)<a href="https://agentmods.dev/skills/heshamfs/materials-simulation-skills/simulation-orchestrator"><img src="https://agentmods.dev/badge/skills/heshamfs/materials-simulation-skills/simulation-orchestrator/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/heshamfs/materials-simulation-skills/simulation-orchestrator"><img src="https://agentmods.dev/badge/skills/heshamfs/materials-simulation-skills/simulation-orchestrator.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 | $0.00125 | $0.04308 |
| Opus 5.5 | $0.00050 | $0.01723 |
| Sonnet 5.5 | $0.00025 | $0.00862 |
| Haiku 4.5 | $0.00013 | $0.00431 |
Grade A, and why
simulation-orchestrator 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 yesterday.
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 — 354 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Simulation Orchestrator
Goal
Provide tools to manage multi-simulation campaigns: generate parameter sweeps, track job execution status, and aggregate results from completed runs.
Requirements
- Python 3.10+
- No external dependencies (uses Python standard library only)
- Works on Linux, macOS, and Windows
Inputs to Gather
Before running orchestration scripts, collect from the user:
| Input | Description | Example |
|---|---|---|
| Base config | Template simulation configuration | base_config.json |
| Parameter ranges | Parameters to sweep with bounds | dt:[1e-4,1e-2],kappa:[0.1,1.0] |
| Sweep method | How to sample parameter space | grid, lhs, linspace |
| Output directory | Where to store campaign files | ./campaign_001 |
| Simulation command | Command to run each simulation | python sim.py --config {config} |
Decision Guidance
Choosing a Sweep Method
Need every combination (full factorial)?
├── YES → Use grid (warning: exponential growth with parameters)
└── NO → Is space-filling coverage needed?
├── YES → Use lhs (Latin Hypercube Sampling)
└── NO → Use linspace for uniform sampling per parameter
| Method | Best For | Sample Count |
|---|---|---|
grid |
Low dimensions (1-3), need exact corners | n^d (exponential) |
linspace |
1D sweeps, uniform spacing | n per parameter |
lhs |
High dimensions, space-filling | user-specified budget |
Campaign Size Guidelines
| Parameters | Grid Points Each | Total Runs | Recommendation |
|---|---|---|---|
| 1 | 10 | 10 | Grid is fine |
| 2 | 10 | 100 | Grid acceptable |
| 3 | 10 | 1,000 | Consider LHS |
| 4+ | 10 | 10,000+ | Use LHS or DOE |
Script Outputs (JSON Fields)
| Script | Output Fields |
|---|---|
scripts/sweep_generator.py |
configs, parameter_space, sweep_method, total_runs |
scripts/campaign_manager.py --action init |
campaign_id, total_jobs, config_dir, command_template |
scripts/campaign_manager.py --action status |
campaign_id, status, jobs, progress, total_jobs, created_at |
scripts/campaign_manager.py --action list |
jobs (array of job records) |
scripts/job_tracker.py |
job_id, status, start_time, end_time, exit_code |
scripts/result_aggregator.py |
summary (incl. minimize), statistics, best_run, failed_runs |
What ships with it
24 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.
- CHANGELOG.md 3.3 KB
- evals/evals.json 11 KB
- evals/files/case3_init/config_0000.json 92 B
- evals/files/case3_init/config_0001.json 92 B
- evals/files/case3_init/config_0002.json 90 B
- evals/files/case3_init/config_0003.json 90 B
- evals/files/case3_init/manifest.json 481 B
- evals/files/case3_status/campaign.json 1.7 KB
- evals/files/case4_campaign/campaign.json 1.8 KB
- evals/files/case4_campaign/config_0000.json 44 B
- evals/files/case4_campaign/config_0001.json 44 B
- evals/files/case4_campaign/config_0002.json 42 B
- evals/files/case4_campaign/result_job_0000.json 69 B
- evals/files/case4_campaign/result_job_0001.json 69 B
- evals/files/case4_campaign/result_job_0002.json 69 B
- evals/files/config.json 74 B
- evals/files/simulation.json 91 B
- references/aggregation_methods.md 4.0 KB
- references/campaign_patterns.md 3.8 KB
- references/sweep_strategies.md 4.4 KB
- scripts/campaign_manager.py 9.5 KB runs code
- scripts/job_tracker.py 10 KB runs code
- scripts/result_aggregator.py 12 KB runs code
- scripts/sweep_generator.py 14 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.
- yesterday Changed · +4 lines cb1f2aad56fe
- 1mo ago First seen · 350 lines · 125 tokens per session scan A 7a39500b28eb
simulation-orchestrator is a skill published in the GitHub repository HeshamFS/materials-simulation-skills (82 stars, last pushed 2d ago), licensed Apache-2.0. It adds 125 tokens to every session and 4,308 once invoked, about $0.0005 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.
Other skills, from other repositories
personal-genomics
Analyse personal DNA / genome files for pharmacogenomics, disease risk, carrier status, ancestry and traits. Use whenever the user mentions DNA or genome analysis, a raw genome file, gene names, drug-gene interactions, or wants to combine multiple DNA sources.
web-components
Architecture and coding rules for single-page applications using web components, BCE layering, lit-html templating, unidirectional Redux-style state management (reduction.js, standards-based), and standards-based client-side routing (Navigation API + URLPattern). Web standards and web platform first, minimal external…
sbce
Spec-driven BCE workflow where one capability spec equals one business component (same name) and the spec is the boundary contract. Invoked as /sbce new|apply (or by intent), it drives declare → converge; the stack's own test loop is the oracle for "done". new accepts a BC name or a natural-language feature…
javascript-conventions
Generic, composable JavaScript (ECMAScript) code conventions — modules, declarations, functions, collections, asynchrony, errors, JSDoc types, naming, and the Baseline lookup that decides which language and standard-library features may be used. Technology-neutral within the JavaScript world; meant to be composed with…
search-math-results
Find program-conditioned math results, constructions, examples, counterexamples, analogies, and background references. Use when the current active program needs repair, mutation, analogy, a program shift, or carefully gated obstruction search.
web-system-tests
The web realization of the system-tests contract — browser-driven system tests with Playwright against a running frontend. Owns the project layout (tests/), the Playwright configuration (baseURL plus webServer, cross-engine projects), the role- and label-based selector policy, code coverage as an opt-in second run…