Molclaw Pulchura Rebuild
Documentsmolclaw-pulchura-rebuildMolclaw Pulchura Rebuild is an Agent Skill for documents published in the InternScience/Agents-A1 repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
Rebuilds incomplete protein PDB structures with PULCHRA for downstream docking and simulation preparation.
How to use this skill
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Inspect the Agent Skill at https://github.com/InternScience/Agents-A1/blob/HEAD/evaluation/Tools/molbench/skills/L1_tools/molclaw-pulchura-rebuild/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/molclaw-pulchura-rebuild, but wait for my approval before writing files or running scripts.
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PULCHRA Protein Structure Rebuild
Note:
- Local files are not directly accessible by the server. Please upload them to the server using
drugsda-file-transferbefore execution. - For PDB file inputs, it is recommended to preprocess them using
drugsda-fix_pdbbefore execution.
Usage
2. Protein PDB Rebuild with PULCHRA
The description of tool pulchura_rebuild.
Rebuilds incomplete protein PDB structures with PULCHRA for structure preparation workflows before docking or simulation.
Args:
input_pdbs (str | List[str]): One input PDB path or a list of input PDB paths.
mode (str): Rebuild mode in {'full','backbone','sidechain','hydrogen'}, default 'full'.
optimize_hbond (bool): Enable hydrogen-bond optimization (-q), default False.
detect_cis_pro (bool): Enable cis-proline detection (-p), default False.
verbose (bool): Print verbose PULCHRA logs (-v), default False.
preserve_coords (bool): Preserve original coordinates (-f), default False.
dry_run (bool): Validate inputs and create run directory without executing rebuild, default False.
Return:
status (str): 'success', 'partial_success', or 'error'.
msg (str): Human-readable execution summary.
output_dir (str): Run-specific directory under tool_result/pulchura_rebuild_result.
mode (str): Effective rebuild mode used for this run.
requested_input_count (int): Number of input files requested by caller.
succeeded_count (int): Number of inputs rebuilt successfully.
failed_count (int): Number of inputs that failed validation or rebuild.
rebuilt_pdb_files (List[str]): Paths to rebuilt PDB files.
failed_inputs (List[Dict[str, str]]): Per-input failure details with input_pdb and error.
How to use tool pulchura_rebuild :
response = await client.session.call_tool(
"pulchura_rebuild",
arguments={
"input_pdbs": "/path/to/input.pdb",
"mode": "full",
"optimize_hbond": False,
"detect_cis_pro": False,
"verbose": False,
"preserve_coords": False,
"dry_run": False
}
)
result = client.parse_result(response)
rebuilt_pdb_files = result["rebuilt_pdb_files"]
Example parameter sets
# 1) Main mode
{
"input_pdbs": "/path/to/input.pdb",
"mode": "full",
"optimize_hbond": True,
"detect_cis_pro": False,
"verbose": False,
"preserve_coords": False,
"dry_run": False
}
# 2) Variant mode
{
"input_pdbs": "relative/path/to/frame_0.pdb",
"mode": "backbone",
"optimize_hbond": False,
"detect_cis_pro": False,
"verbose": False,
"preserve_coords": False,
"dry_run": True
}
⚠ Mandatory Output File Download (L3 Principle 14)
After calling this tool, you MUST download all output structure files from the MCP server to the local workspace using server_file_to_base64. A tool call is NOT considered complete until its output files have been downloaded and verified locally (ls -la <file> — size must be > 0).
import base64, os
response = await client.session.call_tool(
"server_file_to_base64",
arguments={"file_path": result["output_file"]} # or relevant output field
)
dl = client.parse_result(response)
local_path = "stepNN_descriptive_name.ext"
with open(local_path, "wb") as f:
f.write(base64.b64decode(dl["base64_string"]))
assert os.path.getsize(local_path) > 0, f"Download failed: {local_path}"
Download policy: All structure output files are Category A (user-critical) — essential for user verification, downstream analysis, and reproducibility. When in doubt, download. Over-collection is always preferred over under-collection.