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Md Analysis Planner

skill-heshamfs-materials-simulation-skills-md-analysis-planner · by HeshamFS

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Install

$ agentstack add skill-heshamfs-materials-simulation-skills-md-analysis-planner

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

MD Analysis Planner

Goal

Choose the right MD trajectory analyses and prerequisites before writing post-processing code.

Requirements

  • Python 3.10+
  • No external dependencies
  • Works on Linux, macOS, and Windows

Inputs to Gather

| Input | Description | Example | |-------|-------------|---------| | System | Material or molecular system | oxide glass, liquid water | | Goals | Analysis goals | rdf,diffusion,coordination | | Trajectory format | Dump, DCD, XYZ, H5MD, etc. | LAMMPS dump | | Velocities | Whether velocities are stored | true | | Stress | Whether stress/virial is stored | true | | Unwrap needed | Whether atoms cross PBC | true | | Timestep | fs per saved frame | 10 |

Decision Guidance

  • Use RDF and coordination for local structure.
  • Use MSD for diffusion, but unwrap trajectories and verify diffusive regime.
  • Use VACF/VDOS only when velocities or reliable finite-difference velocities exist.
  • Use stress-strain only if stress/virial and deformation history are available.
  • Always perform equilibration checks before fitting transport or thermodynamic properties.

Script Outputs

scripts/md_analysis_planner.py emits these fields (JSON under results):

| Field | Description | |-------|-------------| | analysis_plan | One entry per goal: goal, method, and status | | required_data | Sorted, de-duplicated data needed across all goals | | equilibration_checks | Standard pre-fit equilibration checklist | | pbc_handling | unwrap_needed, minimum_action, format_note | | warnings | Safety-critical caveats and blockers |

Status values

status is one of, from most to least severe: blocked > needs time axis > needs review > ready. A more-severe status is never demoted by a less-severe one. For example, a VACF/VDOS goal with no stored velocities reports blocked even when the timestep is also missing (both warnings are still emitted).

Default (non-JSON) output

Without --json the script prints the plan lines, a Required data: list, a one-line PBC: note, and a Warnings: section (also mirrored to stderr) so the safety-critical caveats are visible even when stdout is piped.

Workflow

python3 skills/simulation-workflow/md-analysis-planner/scripts/md_analysis_planner.py \
  --system "oxide glass" \
  --goals rdf,coordination,bond-angle \
  --trajectory-format dump \
  --unwrap-needed \
  --timestep-fs 10 \
  --json

Error Handling

If velocities, stress, or timestep information is missing, downgrade dependent analyses and report warnings. The script exits with code 2 and a message on stderr for invalid input (empty system, no goals, non-positive or non-finite timestep, or inputs exceeding the size caps below).

Limitations

This skill plans analysis and prerequisites; it does not parse large trajectories directly.

Verification checklist

Do not trust trajectory-derived results until each applicable item below is recorded against the planner's own output:

  • [ ] Ran scripts/md_analysis_planner.py and confirmed no analysis_plan entry is blocked or needs time axis; record any needs review goal and how its custom analysis was resolved.
  • [ ] Confirmed every item in the planner's required_data list is actually present in the trajectory (e.g. velocities for VACF/VDOS, stress or virial + strain history for stress-strain) before running the corresponding analysis.
  • [ ] For diffusion/MSD: recorded the log-log MSD-vs-time slope and confirmed it is ~1 (diffusive regime) over the fit window, excluding ballistic/sub-diffusive transients, before quoting D = lim MSD/(2dt).
  • [ ] For diffusion/MSD: applied the Yeh-Hummer 1/L finite-size correction and recorded the box length L and shear viscosity eta used (D0 = DPBC + k_BTxi/(6pieta*L), xi~=2.837 cubic box).
  • [ ] For any displacement-based analysis when pbc_handling.unwrap_needed is true: confirmed positions were unwrapped using cell + image flags before computing displacements (not raw wrapped coordinates).
  • [ ] Worked through the planner's equilibration_checks: discarded the startup transient, confirmed temperature/pressure plateaus, and compared first-half vs second-half property estimates before any transport/thermodynamic fit.
  • [ ] Reported an uncertainty from block averaging (or independent trajectories) for every quoted transport/thermodynamic property, not a single-window point value.

Common pitfalls & rationalizations

| Tempting shortcut | Why it's wrong / what to do | |-------------------|-----------------------------| | "MSD vs time looks straight, so it's diffusive — just fit a line." | A straight-looking MSD can still include ballistic/sub-diffusive transients. Confirm the log-log slope is ~1 over the fit window first, then fit D = lim MSD/(2dt). | | "D from the simulation is the diffusion coefficient." | PBC self-diffusion is system-size dependent. Apply the Yeh-Hummer 1/L correction with the actual box length L and viscosity eta; report D0, not DPBC. | | "Positions are in the dump, so MSD is fine." | Wrapped coordinates make atoms jump across the box and corrupt displacements. When unwrap_needed is true, unwrap using cell + image flags before any displacement analysis. | | "No velocities stored, but I can get VACF/VDOS from positions." | The planner marks VACF/VDOS blocked without velocities for a reason. A finite-difference velocity estimate must be explicitly justified (frame spacing, aliasing); otherwise the result is unreliable. | | "The run finished, so I can fit transport properties on the whole trajectory." | Run completion is not equilibration. Discard the startup transient and verify temperature/pressure plateaus (the equilibration_checks) before fitting. | | "One window gave a clean number, no need for error bars." | A single window hides correlation-driven variance. Use block averaging or independent trajectories so every transport/thermodynamic value carries an uncertainty. |

Security

Input Validation

Inputs are scalar CLI values and booleans only. plan_md_analysis validates and bounds every field before use; any violation raises ValueError, which main catches to print a message on stderr and exit with code 2:

  • system must be non-empty (after stripping) and at most 256 characters.
  • At most 64 goals are allowed; each goal at most 256 characters.
  • trajectory_format at most 256 characters.
  • timestep_fs, if given, must be a positive, finite number (math.isfinite

and > 0).

Goals are not allowlisted: an unrecognized goal is not rejected but is reported with status needs review and an "unknown goal" warning. The --has-velocities, --has-stress, and --unwrap-needed flags are plain booleans and need no validation.

File Access

The script reads and writes no files; all I/O is stdin/args -> stdout (plain text or JSON), with warnings additionally mirrored to stderr. It takes no path arguments and opens no trajectory or output files, so there is no filesystem sandboxing concern. There are no per-file size limits because no files are read; input size is instead capped by the field/goal limits above.

Tool Restrictions

Frontmatter allowed-tools is Read, Bash, Write, Grep, Glob:

  • Bash is used only to run the bundled scripts/md_analysis_planner.py.
  • Read, Write, Grep, and Glob are used only to inspect, edit, and search

this skill's own files (the script, references, and SKILL.md) when authoring analysis plans; they are not used to touch trajectory data.

Safety Measures

  • No use of eval, exec, os.system, or dynamic imports.
  • The script spawns no subprocesses and executes no external analysis programs;

it only parses arguments with argparse and computes a plan in-process.

  • Output is structured JSON produced via json.dumps (or deterministic plain

text), never interpolated shell.

  • Denial-of-service caps (MAX_GOALS = 64, MAX_SYSTEM_LEN = 256,

MAX_FIELD_LEN = 256) bound the work so a planning helper never materializes pathological input.

References

  • See references/md_analysis_checks.md for analysis prerequisites and failure modes.

Version History

  • 1.2.0: Add deterministic script_checks to all three eval cases that pin the

exact planner output (statuses, sorted required_data, PBC note, and the specific diffusive-regime / Yeh-Hummer / blocked-not-demoted warnings) so the evals discriminate the skill from a from-memory baseline.

  • 1.1.0: Fix status demotion (blocked never downgraded to needs time axis),

surface warnings/required-data/PBC in non-JSON mode, add diffusive-regime and Yeh-Hummer finite-size guidance, and enforce documented input caps.

  • 1.0.0: Initial MD analysis planning skill.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.