What makes Biomolecular Structure Prediction notable?

1.3K downloads. Trust evidence available

How should Biomolecular Structure Prediction be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Biomolecular Structure Prediction

Biomolecular structure prediction tools for Chai-1, Boltz-2, and AlphaFold3 via SciMiner APIs.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.3k

Updated

Oct 10, 2026

Version

1.0.8

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.3K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.3K downloadsadoption · observed Oct 10, 2026
Latest release: 1.0.8release · observed May 31, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s170qp1q4twz35wa85ppa8894h83w461:structure-prediction

Install using `clawhub skill install s170qp1q4twz35wa85ppa8894h83w461:structure-prediction` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/sciminer/structure-prediction before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-sciminer-structure-prediction/snapshot"

Documentation

CLAWHUB

56,577 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: structure-prediction
description: Biomolecular structure prediction tools for Chai-1, Boltz-2, and AlphaFold3 via SciMiner APIs.
credential_files:
- ~/.config/sciminer/credentials.json
---

# Structure Prediction Skill

This skill covers multimodal biomolecular structure prediction workflows using:

- `Chai-1`
- `Boltz-2`
- `AlphaFold3`

## When to use this skill

- Predict structures for proteins, DNA, RNA, ligands, or mixed complexes
- Model protein-ligand, protein-protein, protein-DNA, or protein-RNA interactions
- Run structure prediction with optional MSA, template, or restraint inputs
- Estimate complex structures for multimodal biomolecular assemblies

## Prerequisites

1. Obtain a free SciMiner API key from `https://sciminer.tech/utility`.
2. Store it outside this repository at `~/.config/sciminer/credentials.json` with JSON shaped as `{"api_key":"your_api_key_here"}`.
3. For SciMiner calls, read the API key from `~/.config/sciminer/credentials.json` and send it as the `X-Auth-Token` header.
4. Never print, persist, or store the API key in prompts, logs, or repository files. Agents should remember only the credential file path.

If `~/.config/sciminer/credentials.json` is not available or does not contain an `api_key` field, stop and tell the user to obtain a free SciMiner API key from `https://sciminer.tech/utility` and store it in that file. Do not try to complete the task by switching to other tools or services.

## Authoritative tool-doc source (required)

The published Markdown files under `https://sciminer.tech/tool_api_files/` are
the single source of truth for `provider_name`, `tool_name`, allowed
`parameters`, file-upload behavior, request encoding, and the example
submission flow for this skill's included tools.

Use these SciMiner Markdown docs:

- `Chai-1` -> `Chai-1_api_doc.md`
- `Boltz-2` -> `Boltz-2_api_doc.md`
- `AlphaFold3` -> `AlphaFold3_api_doc.md`
- If the user explicitly requests a covalent-ligand workflow, use the
corresponding `Chai-1-Covalent_api_doc.md`, `Boltz-2-Covalent_api_doc.md`,
or `AlphaFold3-Covalent_api_doc.md`.

The agent MUST:

1. Resolve the selected tool's Markdown file and read it before every
invocation.
2. Never invent `provider_name`, `tool_name`, parameter names, enum values,
upload-field names, content type, or submission flow from memory.
3. Extract and follow the selected doc section's exact:
- Base URL
- API endpoint
- Content-Type
- Authentication header
- Tool Name
- Method
- Parameter table, including required fields and enum values
- File-upload instructions and example code
4. Choose the correct section if the selected doc contains multiple tool
variants, such as standard vs covalent workflows or inline inputs vs file
uploads.
5. Cite the selected Markdown doc as the payload source in summaries.

If a user-provided parameter is not present in the selected Markdown doc
section, ask for correction or drop it with an explanation.

## Requ

_meta.json

{
  "ownerId": "kn725br751g8y5tkj1h6d2krf58356et",
  "slug": "structure-prediction",
  "version": "1.0.8",
  "publishedAt": 1780221942490
}

skill-card.md

## Description:

Biomolecular structure prediction tools for Chai-1, Boltz-2, and AlphaFold3 via SciMiner APIs.

This skill is ready for commercial/non-commercial use.

## Publisher:

[sciminer](https://clawhub.ai/user/sciminer)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and researchers use this skill to invoke SciMiner-hosted Chai-1, Boltz-2, and AlphaFold3 workflows for protein, nucleic acid, ligand, and mixed-complex structure prediction.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill directs agents to build and run API invocation code from mutable remote SciMiner Markdown documentation.

Mitigation: Review the selected SciMiner documentation before execution and confirm destination endpoints, parameters, upload fields, and authentication headers before sending requests.

Risk: The skill uses a SciMiner API key and may upload sensitive biomolecular inputs to SciMiner services.

Mitigation: Store the API key only in the configured credentials file, avoid printing or persisting secrets, and confirm that uploaded biomolecular inputs are approved for SciMiner processing.

## Reference(s):

- [SciMiner API Documentation](https://sciminer.tech/tool_api_files/)
- [SciMiner API Key Utility](https://sciminer.tech/utility)
- [ClawHub Skill Page](https://clawhub.ai/sciminer/skills/structure-prediction)

## Skill Output:

**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]

**Output Format:** [Markdown summaries with inline JSON, code, shell commands, and SciMiner share URLs]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include task_id and share_url values for completed or long-running SciMiner API tasks.]

## Skill Version(s):

1.0.8 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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