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Hugging Face Paper Publisher

Other Community
Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network
Domain
Other
Compatible agents
  • Claude Code
  • Cursor
  • Cline
  • Codex
  • Windsurf
  • Gemini CLI
  • +20
Trust score
88 / 100 · community maintained
Author / version / license
@0-CYBERDYNE-SYSTEMS-0 · no license declared
Token usage
Lean
Setup complexity
Plug-and-play
External API key
Not required
Operating systems
Unspecified (assume cross-platform)
Runtime requirements
Python
Permissions
  • Read-only
  • Write / modify
Network behavior
Local-only
Install commands
26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools，默认拥有全部工具权限。

Output preview hugging-face-paper-publisher.preview 
---
name: Hugging Face Paper Publisher
description: This skill helps you publish and manage research papers on the Hugging Face Hub, enabling seamle…
category: other
runtime: Python
---

# Hugging Face Paper Publisher output preview

## PART A: Task fit
- Use case: This skill helps you publish and manage research papers on the Hugging Face Hub, enabling seamless integration with models, datasets, and reproducible research. [Brief summary of the paper] [Full paper content in markdown format] [Link to GitHub or other code repository] @paper{citation-key, runs entirely locally; runs on Python. Works with Claude Code, C….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Overview / Core Capabilities / 1. Paper Creation and Publishing” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “This skill helps you publish and manage research papers on the Hugging Face Hub, enabling seamless integration with models, datasets, and reproducible research. [Brief summary of the paper] [Full paper content in markdown format] [Link to GitHub or other code repository] @paper{citation-key, runs entirely locally; runs on Python. Works with Claude Code, C…”.
- **02** When the source has headings, the agent prioritizes “Overview / Core Capabilities / 1. Paper Creation and Publishing” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.

## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: This skill helps you publish and manage research papers on the Hugging Face Hub, enabling seamless integration with models, data…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “Overview”, “Core Capabilities”, “1. Paper Creation and Publishing”, “2. Model and Dataset Integration”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name Hugging Face Paper Publisher directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “Overview / Core Capabilities / 1. Paper Creation and Publishing” before expanding.

Boundaries And Review

  • Dependencies: It usually needs no extra API key, so start with a small validation task.
  • Permissions: Declared permissions include read / write; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Discussion

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