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Install in OpenClaw
/install structure-prediction
Description
Biomolecular structure prediction tools for Chai-1, Boltz-2, and Alphafold3 via SciMiner APIs.
Usage Guidance
This skill appears coherent, but consider these practical precautions before installing: 1) Verify sciminer.tech is a trusted service and you are comfortable sending sequence/MSA/template files there (these may contain sensitive research data). 2) Use a scoped API key for SciMiner (do not reuse high-privilege or long-lived credentials). 3) Confirm the '/console/api' endpoints in the SKILL.md are legitimate (the path includes 'internal', so verify the vendor docs). 4) The skill will include the share_url returned by SciMiner when summarizing results — be mindful that link recipients may be able to view full results online. 5) If you require auditability, review sciminer_registry.py (included) to ensure the listed provider/tool names and file-parameter mappings match your expectations. If any of these checks raise doubts, obtain clarification from the skill author or use alternate, vetted tools.
Capability Analysis
Type: OpenClaw Skill
Name: structure-prediction
Version: 1.0.5
The skill provides a legitimate interface for biomolecular structure prediction using the SciMiner API (sciminer.tech). The code in `scripts/sciminer_registry.py` and the instructions in `SKILL.md` are well-documented and strictly aligned with the stated purpose of wrapping Chai-1, Boltz-2, and Alphafold3 tools. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description, SKILL.md examples, and the included sciminer_registry.py all center on invoking SciMiner tools (Chai-1, Boltz-2, Alphafold3). The single required env var (SCIMINER_API_KEY) is appropriate for a remote API integration.
Instruction Scope
Runtime instructions only describe calling SciMiner endpoints, polling for results, and uploading user-provided MSA/template files. There are no instructions to read unrelated local files or environment variables, nor to exfiltrate data to third-party endpoints beyond sciminer.tech.
Install Mechanism
No install spec and no external downloads — the skill is instruction/code-only. Nothing is written to disk by an installer as part of the skill package.
Credentials
Only SCIMINER_API_KEY is required (declared as primaryEnv). That single credential directly maps to the documented use (X-Auth-Token header) and is proportionate to the purpose.
Persistence & Privilege
always is false and the skill does not request elevated or persistent system-wide privileges. It does not attempt to modify other skills or agent configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install structure-prediction - After installation, invoke the skill by name or use
/structure-prediction - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.5
- Updated documentation to specify that the SciMiner API key is free.
- Adjusted instructions to clarify users should obtain a "free SciMiner API key" from https://sciminer.tech/utility.
- No functional or code changes; documentation only.
v1.0.4
- Minor update to the skill description for improved clarity.
- No functional or interface changes.
v1.0.3
- Updated instructions to clarify that if the `SCIMINER_API_KEY` is not available, alternative tools should not be used.
- Revised API result documentation for clarity, especially the meaning of the `share_url` field.
- Minor text edits and reorganization for improved clarity and guidance.
- Removed guidance suggesting users may paste API keys directly into dialog.
v1.0.2
- Improved handling of missing API key: The agent now instructs users to obtain and provide the SciMiner API key rather than attempting alternate fallbacks.
- Clarified that the user may paste their API key into the chat input when prompted.
- Added justification for exclusively using the SciMiner API to ensure reliable, ensemble results and avoid fragmented outputs from other services.
- Updated the Notes and Prerequisites to reinforce the API key instructions and proper workflow for structure prediction tasks.
v1.0.1
- Added explicit documentation for required environment variable: SCIMINER_API_KEY.
- Updated prerequisites and notes to clarify that SCIMINER_API_KEY must be set and is used as the X-Auth-Token header.
- Introduced the "requires" and "primaryEnv" fields in the SKILL.md metadata for improved environment configuration.
- No code or file changes; documentation improvements only.
v1.0.0
Initial release of the structure-prediction skill.
- Provides access to biomolecular structure prediction tools Chai-1, Boltz-2, and Alphafold3 via SciMiner internal APIs.
- Supports multimodal complex prediction including proteins, DNA, RNA, ligands, and their interactions.
- Includes invocation patterns and example code for API use, result polling, and file uploads.
- Requires SciMiner API key and configuration instructions are included.
- Returns results with task status and shareable result URLs.
Metadata
Frequently Asked Questions
What is Biomolecular Structure Prediction?
Biomolecular structure prediction tools for Chai-1, Boltz-2, and Alphafold3 via SciMiner APIs. It is an AI Agent Skill for Claude Code / OpenClaw, with 194 downloads so far.
How do I install Biomolecular Structure Prediction?
Run "/install structure-prediction" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Biomolecular Structure Prediction free?
Yes, Biomolecular Structure Prediction is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Biomolecular Structure Prediction support?
Biomolecular Structure Prediction is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Biomolecular Structure Prediction?
It is built and maintained by SciMiner (@xiongzhp); the current version is v1.0.5.
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