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Journal Selector

Name: Journal Selector
Author: shaopanguo

作者 Chopin · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

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在 OpenClaw 中安装

/install journal-selector

功能描述

Suggest optimal academic venues for paper submission based on paper content, novelty level, and author's goals. Activated when Chopin asks 'which journal sho...

使用说明 (SKILL.md)

Journal Selector

Match papers to the right venue — maximizing acceptance odds and impact.

Input Needed

Provide one or more of:

Full paper draft
Abstract
Key contributions list
Current submission status (new / revision / rejected)
Author preference: speed vs. prestige, theory vs. application, impact factor priority

Output: Venue Recommendations

For each suggested venue, provide:

Field	Description
Venue	Full name + abbreviation
Fit Score	1-10, how well paper matches
Match Reasoning	Why this paper fits this venue
Risk	Reach / Safe / Safety
Review Speed	Fast (3-6mo) / Medium (6-9mo) / Slow (9-18mo)
Impact Factor	If known
Key Concerns	What might cause rejection here
Strategy Tip	How to position the paper for this venue

Risk Classification

Reach: Top-tier, low acceptance rate, high impact if accepted
Safe: Lower-tier, higher acceptance, less prestige
Safety: Almost certain acceptance, but limited impact

Review Speed Classification

Fast: Conferences (ICRA, CDC, ACC), some letters journals
Medium: IEEE TIE, TCST, Neurocomputing
Slow: IEEE TAC, Automatica, Springer journals

Venue Categories for Control/AI Research

Tier 1 — High Prestige, Low Acceptance

IEEE Transactions on Automatic Control (TAC)
Automatica
International Journal of Robotics Research (IJRR)

Tier 2 — Strong, Balanced

IEEE Transactions on Industrial Electronics (TIE)
IEEE Transactions on Control Systems Technology (TCST)
IEEE Transactions on Robotics (TRO)
Systems & Control Letters
International Journal of Adaptive Control and Signal Processing

Tier 3 — Applied / Specialized

IEEE Transactions on Aerospace and Electronic Systems
Journal of the Franklin Institute
Asian Journal of Control
IET Control Theory & Applications

Tier 4 — Fast Conference Track

CDC (IEEE Conf. on Decision and Control)
ACC (American Control Conference)
ICRA (IEEE Intl. Conf. on Robotics and Automation)
IROS (IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems)
ECC (European Control Conference)

AI / Learning + Control

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Artificial Intelligence
Pattern Recognition and Machine Intelligence (PRAMI)

See references/venue-database.md for full venue profiles including IF, review speed, scope, and tips.

Decision Factors

Paper's theory-to-application ratio — Pure theory → TAC/Automatica; Applied → TIE/TCST
Novelty level — Incremental → Mid-tier; Breakthrough → Top-tier
Author timeline — Need publication fast → Conference first; Can wait → Journal
Target audience — Robotics community → ICRA/IROS; Control theory → CDC/ACC/TAC
Revision history — Rejected from top? Suggest next-tier before re-review

Workflow

Analyze paper: extract topic, method, contribution strength, application domain
Map to venue categories (tier + type)
Score fit for 8-12 candidate venues
Select top 5-8 with varied risk levels
Sort by fit score descending
Include reach/safe/safety spread for author choice

Warning Signs

Paper is too theoretical for applied journal → expect desk rejection
Paper lacks experiments for IEEE Transactions → risky
Novelty is incremental but targeting top-tier → high rejection risk
Mixing control + learning communities without clear contribution to either → positioning problem

See references/venue-database.md for detailed venue profiles.

安全使用建议

This skill appears to do what it says: analyze paper text and recommend venues. Before using it, consider privacy: avoid pasting confidential or unpublished manuscripts if you do not want their contents handled by the model/service. If you must share a full draft, confirm the platform's data retention and sharing policies or provide a redacted abstract/summary instead. Also treat acceptance rates, impact factors and review-speed estimates as approximate and verify critical decisions (deadlines, scope, current CFPs) against official venue pages. If you need provenance for the venue stats, ask the skill/maintainer to cite sources or provide last-update timestamps.

功能分析

Type: OpenClaw Skill Name: journal-selector Version: 1.0.0 The journal-selector skill is a purely informational tool designed to assist researchers in selecting academic publication venues. It analyzes user-provided paper drafts or abstracts against a local database of journal profiles (references/venue-database.md) to provide recommendations. There is no evidence of data exfiltration, malicious execution, or harmful prompt injection instructions.

能力评估

✓ Purpose & Capability

Name/description (journal selection) align with the included SKILL.md and venue database. No unrelated binaries, env vars, or config paths are requested; the provided venue list and decision factors are coherent for the stated goal.

ℹ Instruction Scope

Instructions ask the agent to analyze submitted paper text (draft, abstract, contributions) and produce ranked venue recommendations — this is appropriate. Note: the skill explicitly expects full drafts or abstracts, which are sensitive intellectual property; the SKILL.md does not instruct any external transmission, but users should be aware that providing full manuscripts to an AI may expose them to the model/service provider's data handling.

✓ Install Mechanism

Instruction-only skill with no install spec and no code files. This minimizes on-disk risk and there are no downloadable artifacts or third-party installers referenced.

✓ Credentials

No environment variables, credentials, or config paths are requested. The skill does not require unrelated secrets or system access.

✓ Persistence & Privilege

Skill is user-invocable and not always-enabled. It does not request elevated persistence or modification of other skills/configuration. Autonomous invocation is allowed by platform default but is not combined with other concerning privileges here.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install journal-selector
安装完成后，直接呼叫该 Skill 的名称或使用 /journal-selector 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

- Initial release of journal-selector skill. - Suggests optimal academic venues for paper submission based on paper content, novelty, and author’s goals. - Provides ranked recommendations with fit score, rejection risk, review speed, and reasoning for each venue. - Supports input via paper draft, abstract, or key contributions. - Covers multiple venue tiers for control, AI, and robotics research, including both journals and conferences. - Offers strategy tips and highlights key concerns for each recommended venue.

元数据

Slug journal-selector

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题