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 agentmods add skills/internscience/molclaw/molclaw-foldx-toolnpx skills add InternScience/MolClaw --skill molclaw-foldx-toolgit clone --depth 1 https://github.com/InternScience/MolClawWrote 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/internscience/molclaw/molclaw-foldx-tool)<a href="https://agentmods.dev/skills/internscience/molclaw/molclaw-foldx-tool"><img src="https://agentmods.dev/badge/skills/internscience/molclaw/molclaw-foldx-tool.svg" alt="Measured on agentmods" 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 | $0.00107 | $0.04237 |
| Opus 5 | $0.00053 | $0.02119 |
| Sonnet 5 | $0.00021 | $0.00847 |
| Haiku 4.5 | $0.00011 | $0.00424 |
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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FoldX Protein Stability & Mutation Analysis
Note:
- Local files are not directly accessible by the server. Please upload them to the server using
molclaw-file-transferbefore execution. - For PDB file inputs, it is recommended to preprocess them using
molclaw-pdbfixerbefore execution. - Please refer to skill
molclaw-scp-serverto complete tool invocation.
Critical Prerequisite
MANDATORY: Run
mode=repairpdbon 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 ofmolclaw-pdbfixer— even pdbfixer-repaired structures need FoldX RepairPDB. The output*_Repair.pdbis the ONLY acceptable input for subsequent FoldX modes.
- For PDB file inputs, it is recommended to preprocess them using
molclaw-pdbfixerbefore 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
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.
- 6d ago First seen · 337 lines · 107 tokens per session scan A 3db062139a78
molclaw-foldx-tool is a skill published in the GitHub repository InternScience/MolClaw (33 stars, last pushed 1mo ago), licensed MIT. It adds 107 tokens to every session and 4,237 once invoked, about $0.0005 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.
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