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aipoch-ai

Retraction Watcher

by AIpoch · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
103
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Install in OpenClaw
/install retraction-watcher
Description
Automatically scan document reference lists and check against Retraction.
Usage Guidance
This package appears coherent for checking citations against retraction sources. If you plan to use it, note that the script will make outbound requests to third-party APIs (Crossref, PubMed, Retraction Watch, Open Retractions) and may transmit DOIs, PMIDs, and titles for matching—avoid sending sensitive unpublished material you don't want transmitted. If privacy is a concern, run the script locally in an isolated environment, inspect the full scripts/main.py (especially any network call implementations) before running, and consider auditing network traffic or substituting only the APIs you trust. If you need offline-only checks, verify the code supports a local database/fallback path before using.
Capability Assessment
Purpose & Capability
The name and description (scan references for retractions) match the included files and instructions: a Python script that parses citations and queries retraction sources (Crossref, PubMed, Retraction Watch, Open Retractions). No unrelated env vars, binaries, or config paths are requested.
Instruction Scope
SKILL.md and scripts/main.py confine actions to parsing provided documents and calling public retraction APIs. Be aware the workflow sends identifiers/titles to external services (Crossref, PubMed, etc.) for matching; the instructions do not request or access unrelated files, system secrets, or other agent credentials.
Install Mechanism
There is no install spec (instruction-only skill with a packaged script). The code uses standard Python libraries and small third-party packages declared in requirements.txt (dataclasses, pypdf2). Nothing is downloaded from arbitrary URLs or installed from untrusted hosts.
Credentials
The skill requires no environment variables, credentials, or config paths. That is proportional to its function (it queries public APIs). There are no requests for unrelated secrets or broad environment access.
Persistence & Privilege
The skill is not always-enabled and uses default autonomous invocation settings. It does not request permanent system presence or attempt to modify other skills or system-wide agent settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install retraction-watcher
  3. After installation, invoke the skill by name or use /retraction-watcher
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Retraction Watcher 1.0.0 – Initial Release - Scans document reference lists and checks each citation against major retraction databases including Retraction Watch, Crossref, and PubMed. - Supports multiple input formats: PDF, BibTeX, plaintext, raw reference lists, and URLs. - Identifies retracted, corrected, or questionable papers, and provides clear reports with actionable recommendations. - Handles missing identifiers (DOI/PMID) with fallback matching strategies. - Includes a structured workflow for reproducibility, audit-ready commands, and comprehensive user documentation.
Metadata
Slug retraction-watcher
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Retraction Watcher?

Automatically scan document reference lists and check against Retraction. It is an AI Agent Skill for Claude Code / OpenClaw, with 103 downloads so far.

How do I install Retraction Watcher?

Run "/install retraction-watcher" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Retraction Watcher free?

Yes, Retraction Watcher is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Retraction Watcher support?

Retraction Watcher is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Retraction Watcher?

It is built and maintained by AIpoch (@aipoch-ai); the current version is v1.0.0.

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