What makes αExtractor notable?

1.2K downloads. Trust evidence available

How should αExtractor 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

αExtractor

Optical chemical structure recognition workflow for extracting molecule structures and names from images through SciMiner.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.2k

Updated

Oct 11, 2026

Version

1.0.4

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.2K downloads reported by the source. Last updated 10/11/2026.

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 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.2K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.4release · observed Sep 17, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s170qp1q4twz35wa85ppa8894h83w461:chemical-recognition

Install using `clawhub skill install s170qp1q4twz35wa85ppa8894h83w461:chemical-recognition` 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/chemical-recognition before using production credentials.

Contract: missing

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

Documentation

CLAWHUB

41,846 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: optical-chemical-structure-recognition
description: Optical chemical structure recognition workflow for extracting molecule structures and names from images through SciMiner.
required_environment_variables:
- SCIMINER_API_KEY
---

# OCSR Skill

This skill provides optical chemical structure recognition workflows for chemistry images, including:

- extracting one or more molecular structures from an uploaded image
- recovering molecule names when they appear in the image
- converting chemistry figures into machine-readable molecular outputs

## When to use this skill

- Extract molecules from a paper figure, slide, poster, or screenshot
- Recover multiple molecules from a single chemistry image
- Convert an image of drawn structures into downstream-ready molecular outputs
- Read molecule names that appear alongside structures in an image

## Prerequisites

1. `SCIMINER_API_KEY` is pre-obtained by the SciMiner gateway before the agent run reaches this skill.
2. Use the runtime `SCIMINER_API_KEY` directly as the `X-Auth-Token` for SciMiner tool calls.
3. Do not request, derive, print, persist, or write this key to any file.

If `SCIMINER_API_KEY` is not available at skill runtime, stop and report that the gateway did not inject the required credential. Do not try to derive it inside the skill or switch 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:

- `AlphaExtractor` -> `AlphaExtractor_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.
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.

## Required workflow

1. Read `AlphaExtractor_api_doc.md` from
`https://sciminer.tech/tool_api_files/`.
2. Choose the doc section that matches the user's image-based request.
3. Collect any missing required parameters from the user.
4. Upload required image inputs exactly as described by the selected Markdown
doc and replace local paths with returned

_meta.json

{
  "ownerId": "kn725br751g8y5tkj1h6d2krf58356et",
  "slug": "chemical-recognition",
  "version": "1.0.4",
  "publishedAt": 1789637787090
}

skill-card.md

## Description:

Optical chemical structure recognition workflow for extracting molecule structures and names from images through SciMiner.

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 chemistry researchers use this skill to extract molecular structures and visible molecule names from paper figures, slides, posters, screenshots, or other chemistry images into downstream-ready outputs.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill uploads user-provided chemistry images to SciMiner while using an API key.

Mitigation: Use it only with images the user is permitted to send to SciMiner; avoid confidential or regulated chemistry content.

Risk: The skill relies on mutable external documentation to define invocation details.

Mitigation: Review the referenced SciMiner API documentation before use and prefer a reviewed or pinned invocation path for higher-assurance deployments.

## Reference(s):

- [SciMiner AlphaExtractor API documentation](https://sciminer.tech/tool_api_files/AlphaExtractor_api_doc.md)
- [SciMiner tool API documentation index](https://sciminer.tech/tool_api_files/)
- [αExtractor on ClawHub](https://clawhub.ai/sciminer/skills/chemical-recognition)

## Skill Output:

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

**Output Format:** [Markdown summaries with JSON task results, invocation code or shell commands, and SciMiner history URLs.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires gateway-injected SCIMINER_API_KEY; successful task summaries should include history_url links.]

## Skill Version(s):

1.0.4 (source: server release evidence)

## 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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