fair-simulation-packager
Create FAIR-minded reproducibility bundles for materials simulations by collecting input/output file inventories, hashes, units, engine versions, structure…
Skill by HeshamFS
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/heshamfs-fair-simulation-packager
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: data, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/fair-simulation-packager
Tools it pre-approves 5
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Read,Bash,Write,Grep,Glob
What's inside
- Skill name
fair-simulation-packager- Description
- Create FAIR-minded reproducibility bundles for materials simulations by collecting input/output file inventories, hashes, units, engine versions, structure identifiers, provenance, and NOMAD/OPTIMADE/Materials Project friendly metadata. Use before publishing, sharing, archiving, or handing simulation results to another agent.
- License
- Apache-2.0
- Allowed tools
- Read,, Bash,, Write,, Grep,, Glob
- Metadata
- author: HeshamFS · version: 1.2.2 · eval_cases: 3 · last_reviewed: 2026-06-24 · security_tier: high · last_evaluated: 2026-06-23 · security_reviewed: true · agent_evaluation_status: not_revalidated · last_deterministic_eval: 2026-10-20
- Instructions
- 162 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Pre-approves some shell commands
Files (10)
- CHANGELOG.md
- SKILL.md
- evals.json · evals/
- OUTCAR · evals/files/
- POSCAR · evals/files/
- data.lmp · evals/files/
- in.lammps · evals/files/
- log.lammps · evals/files/
- fair_manifest.md · references/
- fair_packager.py · scripts/
SKILL.md (first lines)
# FAIR Simulation Packager ## Goal Build a minimal reproducibility manifest for materials simulation results so another person or agent can understand what was run, with which inputs, and how outputs should be interpreted. ## Requirements - Python 3.10+ - No external dependencies - Works on Linux, macOS, and Windows ## Inputs to Gather | Input | Description | Example | |-------|-------------|---------| | Project name | Human-readable bundle name | `al-cu-diffusion-study` | | Engine | Simulation code | `LAMMPS`, `VASP`, `MOOSE` | | Input files | Files needed to rerun | `in.lammps,data.lmp` | | Output files | Files needed to verify results | `log.lammps,traj.dump` | | Structure ID | Database or local identifier | `mp-149` | | Units | Field/unit mapping | `energy=eV,length=angstrom` | ## Decision Guidance - Always include input files, output files, code version, and units. - Include hashes for every file that exists locally. - Include structure identifiers when using Materials Project, NOMAD, OPTIMADE, CIF, POSCAR, or internal database records. - Record missing files as warnings instead of silently dropping them. ## Script Outputs `scripts/fair_packager.py --json` prints an envelope with two top-level keys: - `inputs`: the parsed CLI arguments echoed back (note: `inputs.inputs` is the raw comma-separated string passed via `--inputs`, not the per-file records). - `results`: contains a single key `manifest`. `results.manifest` contains these fields: - `project_name`, `engine`, `engine_version`, `structure_id`, `units` - `file_inventory` with `inputs` and `outputs`, each a list of per-file records (`path`, `exists`, and when the file exists, `size_bytes` and `sha256`) - `missing_files`: paths that do not exist on disk - `provenance` (`working_directory`, `manifest_schema`) - `fair_checks`: `has_inputs`, `has_outputs`, `has_units`, `has_engine_version`, and `has_hashes_for_existing_files` (`true`/`false`, or `null` when no files exist so the check is not applicable) - `recommended_next_steps` Parse fields at `results.manifest.<field>`. When `--out PATH` is given, only the bare `manifest` object (not the `inputs`/`results` envelope) is written to `PATH`. ## Workflow ```bash python3 skills/data-management/fair-simulation-packager/scripts/fair_packager.py \ --project-name al-cu-diffusion \ --engine LAMMPS \ --inputs in.lammps,data.lmp \ --outputs log.lammps,traj.dump \ --units energy=eV,length=angstrom,time=ps \ --structure-id local:alcu-cell-001 \ --json ``` Use `--out manifest.json` only when the user wants a manifest file written. ## Error Handling Missing files are reported in `missing_files` (exit code 0). Invalid input stops with exit code 2: malformed unit entries, fields containing control characters, fields longer than 4096 characters, more than 1000 input or output entries, or a file larger than 500 MB. Note that ordinary file paths — including absolute paths and paths containing `..` — are accepted and inventoried; the tool reads file contents only to compute metadata and SHA-256 hashes. ## Limitations This skill creates a metadata manifest. It does not upload to NOMAD, Materials Project, or an OPTIMADE provider. ## Verification checklist - [ ] Confirmed `fair_checks.has_hashes_for_existing_files` is `true` (not `null` or `false`); a `null` means no listed file existed on disk, so re-run from the directory where the files actually live before trusting the manifest. - [ ] Reviewed `missing_files` and confirmed it is empty, or recorded an explicit reason for each entry — every missing path means an input/output was named but not hashed, so the bundle is not reproducible as-is. - [ ] Spot-checked at least one `sha256` in `results.manifest.file_inventory` against an independent `sha256sum`/`Get-FileHash` of the same file to confirm the recorded digest matches the bytes on disk. - [ ] Confirmed `engine_version` is a real version string and not the default `"unknown"`; pass `--engine-version` so the bundle records the exact code build. - [ ] Verified `units` is non-empty and every reported quantity (energy, length, time, etc.) has an entry, so downstream consumers do not have to guess the unit system. - [ ] Confirmed `structure_id` is populated when a Materials Project / NOMAD / OPTIMADE / CIF / POSCAR structure was used, so the structure identity is recoverable. - [ ] When `--out PATH` was used, opened `PATH` and confirmed it holds the bare `manifest` object (not the `inputs`/`results` envelope) and that no unintended path outside the working directory was written. ## Common pitfalls & rationalizations | Tempting shortcut | Why it's wrong / what to do | |-------------------|-----------------------------| | "It exited 0, so the bundle is complete." | Exit 0 only means no validation error; missing files are reported in `missing_files` with exit 0. Inspect `missing_files` and `fair_checks` before trusting completeness. | | "`has_hashes_for_existing_files` is `null`, close enough to `true`." | `null` means *no listed file existed on disk* — nothing was hashed. Re-run from the correct directory so the files are found and actually digested. | | "Skip `--engine-version`, the engine name is enough." | The script defaults `engine_version` to `"unknown"`, which silently breaks reproducibility. Always pass the concrete build/version. | | "Parsing `inputs.inputs` from the JSON gives me the per-file records." | `inputs.inputs` is the raw comma-separated CLI string echoed back, not the records. Read per-file data from `results.manifest.file_inventory.inputs/outputs`. | | "The manifest captures the structure, so the run is fully reproducible." | This skill only inventories files, hashes, units, and IDs. It does not record code commit, container digest, or parser versions — follow `recommended_next_steps` and add those yourself. | | "Absolute paths or `..` will be rejected, so the inventory is sandboxed." | Paths are not sandboxed — absolute and `..` paths are inventoried as given, and `--out` can write outside the working directory. Verify the paths you pass are the intended ones. | ## Security ### Input Validation - `--project-name` and `--engine` are required and must be non-empty after stripping whitespace; an empty value stops with exit code 2. - `--project-name`, `--engine`, `--structure-id` (when given), and every file path are checked for control characters (`ord < 32`) and a 4096-character maximum length; either condition stops with exit code 2. - `--inputs` and `--outputs` are split on commas and capped at 1000 entries each; more entries stop with exit code 2. - `--units` entries must be `key=value`; both the key and the value must match the allowlist `^[A-Za-z0-9_.:/@+-]+$`. A missing `=` or a non-matching key/value stops with exit code 2. - There are no numeric inputs, so no finite/positive numeric checks are performed. ### File Access
From HeshamFS/materials-simulation-skills, Apache-2.0.
More from HeshamFS/materials-simulation-skills
- 0.676score
benchmark-and-mms-planner
HeshamFS
Plan verification and validation campaigns for simulation codes using manufactured solutions, canonical benchmark problems, grid/time refinement, uncertainty…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
differentiation-schemes
HeshamFS
Select and apply numerical differentiation schemes for PDE and ODE discretization — generate finite-difference stencils at arbitrary order and accuracy…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
linear-solvers
HeshamFS
Select and configure linear solvers for Ax=b systems arising in numerical simulations — choose between direct (LU, Cholesky) and iterative (CG, GMRES…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
mesh-generation
HeshamFS
Plan and evaluate mesh generation for numerical simulations — estimate grid resolution from physics scales (interface width, boundary layers, wavelengths)…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
nonlinear-solvers
HeshamFS
Select and configure nonlinear solvers for root-finding f(x)=0, optimization min F(x), and least-squares problems — choose among Newton, Newton-Krylov…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
numerical-integration
HeshamFS
Select and configure time integration methods for ODE and PDE simulations — choose among explicit Runge-Kutta, BDF, Rosenbrock, and Adams families, set…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
numerical-stability
HeshamFS
Analyze numerical stability for time-dependent PDE simulations — check CFL and Fourier criteria, perform von Neumann stability analysis, detect stiffness…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
time-stepping
HeshamFS
Plan and control time-step policies for transient simulations — couple CFL and physics-based stability limits with adaptive stepping, ramp initial transients…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
hpc-runtime-doctor
HeshamFS
Diagnose HPC runtime and scheduler problems for materials simulations, including MPI/OpenMP/GPU layout, modules, CUDA/Kokkos hints, scratch paths, walltime…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
slurm-job-script-generator
HeshamFS
Generate correct, copy-pasteable SLURM sbatch job scripts and sanity-check HPC resource requests — configure nodes, MPI tasks, OpenMP threads, memory…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
skill-evaluator
HeshamFS
Rigorously evaluate an Agent Skill end-to-end across ANY coding-agent CLI — verify its scripts emit the documented numbers (deterministic checks), test…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
ontology-explorer
HeshamFS
Parse, navigate, and query materials science ontology structures — browse class hierarchies, inspect individual classes and their properties, look up object…
SkillAFreshness: A★ 83Claude Code +9
Signals
- Stars
- 83
- Forks
- 6
- Open issues
- 0
- Last commit (this folder)
- Oct 21, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.2.2
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from HeshamFS
- 0.676score
numerical-integration
HeshamFS
Select and configure time integration methods for ODE and PDE simulations — choose among explicit Runge-Kutta, BDF, Rosenbrock, and Adams families, set…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
differentiation-schemes
HeshamFS
Select and apply numerical differentiation schemes for PDE and ODE discretization — generate finite-difference stencils at arbitrary order and accuracy…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
linear-solvers
HeshamFS
Select and configure linear solvers for Ax=b systems arising in numerical simulations — choose between direct (LU, Cholesky) and iterative (CG, GMRES…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
mesh-generation
HeshamFS
Plan and evaluate mesh generation for numerical simulations — estimate grid resolution from physics scales (interface width, boundary layers, wavelengths)…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
nonlinear-solvers
HeshamFS
Select and configure nonlinear solvers for root-finding f(x)=0, optimization min F(x), and least-squares problems — choose among Newton, Newton-Krylov…
SkillAFreshness: A★ 83Claude Code +9 - 0.676score
numerical-stability
HeshamFS
Analyze numerical stability for time-dependent PDE simulations — check CFL and Fourier criteria, perform von Neumann stability analysis, detect stiffness…
SkillAFreshness: A★ 83Claude Code +9
Cite this page
fair-simulation-packager skill. Agent Mart. https://agentmart.dev/skills/heshamfs-fair-simulation-packager (last updated 2026-10-24)