molclaw-foldx-tool

molclaw-foldx-tool is a skill for Claude Code, Codex from InternScience/MolClaw. It costs 116 tokens per session (4,209 once invoked), scanned A, original, MIT.

A tool for analysing protein structures and estimating how mutations may affect protein stability or interactions. PDB files are standard files that describe three-dimensional protein structures.

In plain words
What is it for?
Use it to repair structures, estimate stability, predict mutation effects, measure protein-interface energy, scan alanine or positions, and generate related energy data.
Why use it?
It requires each structure to be repaired in FoldX before further analysis, helping avoid unreliable energy results from unsuitable input files.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to repair structures, estimate stability, predict mutation effects, measure protein-interface energy, scan alanine or positions, and generate related energy data.

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Install with agentmods
npx agentmods add skills/internscience/molclaw/molclaw-foldx-tool
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 InternScience/MolClaw --skill molclaw-foldx-tool
Clone the repo
git clone --depth 1 https://github.com/InternScience/MolClaw

Made for: Claude Code, 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.

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README.md
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Your own site
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Your own site · 80×15
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Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,209 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
How audits are shown
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 $0.00116 $0.04209
Opus 5.5 $0.00046 $0.01684
Sonnet 5.5 $0.00023 $0.00842
Haiku 4.5 $0.00012 $0.00421

Measured 1mo ago against content hash 73bbc164eebf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

molclaw-foldx-tool 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 1mo ago.

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.

skills/L1_tools/molclaw-foldx-tool/SKILL.md · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FoldX Protein Stability & Mutation Analysis

Invocation

Use the exact tool name and parameter schema exposed by the current harness. Tool names in SDK examples below are raw MCP names, not model-facing aliases. Local files must be uploaded with molclaw-file-transfer before a server tool can use them. Repair PDB inputs first when the workflow requires it.

Critical Prerequisite

MANDATORY: Run mode=repairpdb on every PDB before any other FoldX mode. FoldX optimizes side-chain rotamers against its own empirical energy function; unrepaired structures produce unreliable energy values. This is independent of molclaw-fix-pdb — even pdbfixer-repaired structures need FoldX RepairPDB. The output *_Repair.pdb is the ONLY acceptable input for subsequent FoldX modes.

  • For PDB file inputs, it is recommended to preprocess them using molclaw-fix-pdb before FoldX RepairPDB.

When To Use This Skill

Scenario Use FoldX Use other tool instead
Evaluate protein intrinsic stability (ΔG) ✅ stability —
Predict effect of known mutations (ΔΔG) ✅ buildmodel —
Protein–protein interface energy (fast, minutes) ✅ analysecomplex MMPBSA (precise, hours)
Identify interface hotspot residues ✅ alascan with chains MMPBSA per-residue decomposition (precise)
Saturating mutagenesis scan at specific sites ✅ positionscan —
Affinity maturation on complex interface ✅ pssm —
Per-residue energy decomposition ✅ sequencedetail interaction-visualizer (geometry level)
Small-molecule binding free energy ❌ Boltz-2, MMPBSA
MD trajectory dynamics ❌ GROMACS, OpenMM
Batch docking pose evaluation ❌ EquiScore, ProLIF

Unified Tool Interface

All 8 modes are accessed through a single tool foldx_tool with a mode parameter. The full parameter set is:

Run FoldX energy evaluation and mutation-scanning workflows for protein stability
or complex-interface screening.
Args:
    mode (str): FoldX command mode, REQUIRED. One of: repairpdb, stability,
        buildmodel, analysecomplex, alascan, positionscan, pssm, sequencedetail.
    pdb_path (str): Input PDB file path, REQUIRED for all modes.
    chains (str|None): Complex chain definition, e.g. 'A,B' or 'HL,A'.
        REQUIRED for analysecomplex and pssm.
        OPTIONAL for alascan (enables complex-mode interface scanning).
        Ignored by other modes. Default: None.
    positions (str|None): Comma-separated mutation position tokens.
        Format: OrigAA(1-letter) + ChainID + ResNum + TargetAA.
        REQUIRED for positionscan and pssm. Default: None.
    mutant_file (str|None): Path to FoldX-format mutation list file.
        REQUIRED for buildmodel. Default: None.
    number_of_runs (int): Independent repeats for buildmodel (1-100). Default: 5.
    water (str): Water handling: CRYSTAL|PREDICT|NONE|COMPARE. Default: CRYSTAL.
    pdb_hydrogens (bool): Read hydrogens from PDB. Default: False.
    dry_run (bool): Return planned command without execution. Default: False.
    timeout (int): Maximum execution time in seconds. Default: 7200.
Return:
    status (str): success | error | partial_success
    msg (str): Execution summary or error message
    mode (str): Normalized FoldX command mode
    output_dir (str|None): Run directory path
    foldx_command (str|None): Executed or planned command line
    pdb_file (str|None): Input PDB filename in output_dir
    key_files (dict): Key output files relative to output_dir
    metrics (dict): return_code, generated_file_count, and mode-specific values
        (total_energy, mean_ddg, ddg_values, interaction_energy, hotspot_count)
    stderr_tail (str, only on error): Last portion of FoldX stderr for diagnostics

Read the full file on GitHub · 330 lines

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. 1mo ago Changed · -7 lines · +9 tokens per session 73bbc164eebf
  2. 1mo ago First seen · 337 lines · 107 tokens per session scan A 3db062139a78

Subscribe to this mod's changes

molclaw-foldx-tool is a skill published in the GitHub repository InternScience/MolClaw (38 stars, last pushed 1mo ago), licensed MIT. It adds 116 tokens to every session and 4,209 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.

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