Paper Quality Gate logo

Paper Quality Gate

OrganizationPopular
TokenRhythm
paper-quality-gate

Deterministic pre-compile gate for meta-paper-write. Enforces length/citation verdicts and rejects unsupported empirical-result claims when no user evidence was supplied.

Overview

PublisherTokenRhythm
Repositoryopensquilla
Skill namepaper-quality-gate
Stars
7K
Forks
566
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by TokenRhythm on GitHub. Read the source before you install it.

Installation

Install the Paper Quality Gate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TokenRhythm/opensquilla.git /tmp/opensquilla
mkdir -p .claude/skills
cp -r /tmp/opensquilla/src/opensquilla/skills/bundled/paper-quality-gate .claude/skills/paper-quality-gate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paper Quality Gate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Paper Quality Gate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Paper Quality Gate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Paper quality gate

Internal deterministic gate used after bounded LaTeX sanitization and immediately before compilation. Input is a JSON object containing paper_contract, length_gate, citation_gate, and manuscript_package. The preceding sanitizer may normalize safe punctuation and replace detected forecast magnitudes with explicit placeholders, but this gate remains an independent fail-closed audit of the resulting artifact.

The command exits non-zero when an upstream LLM gate blocks, when a required verdict marker is absent, when the manuscript artifact cannot be read, or when an evidence-free manuscript presents empirical findings as completed results. It also rejects concrete English or Chinese predicted outcome numbers (for example, an anticipated 12% improvement) when evidence is absent. Experimental setup parameters remain allowed; a predefined metric target such as 50% accuracy is also allowed when the unknown time-to-target remains nonnumeric. Explicitly conditional claims and planned significance thresholds are not treated as observed findings. Unknown outcomes must use TBD / 待实验确定 instead of invented point estimates.

Every figure/table caption is audited independently when evidence is absent. Categorical outcome claims such as "the proposed method achieves lower cost" or "所提方法保持最低通信成本" are blocked. Neutral planned placeholders and explicit hypotheses/future tests remain valid, including captions that state concrete setup values.

The gate also rejects literal Unicode Greek math glyphs, Unicode en dashes, and single Latin-style em dashes in the manuscript. Paired Chinese em dashes (——) remain valid native-language punctuation. Authors should use named LaTeX math macros such as \(\alpha\) / \(\varepsilon\) and LaTeX -- / --- punctuation, avoiding silent missing-glyph degradation in XeLaTeX.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Paper Quality Gate AI skill do?

Deterministic pre-compile gate for meta-paper-write. Enforces length/citation verdicts and rejects unsupported empirical-result claims when no user evidence was supplied.

Why use Paper Quality Gate on TypingMind?

Because you install it once and use it with any model. Paper Quality Gate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Paper Quality Gate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TokenRhythm/opensquilla/tree/main/src/opensquilla/skills/bundled/paper-quality-gate. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Paper Quality Gate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Paper Quality Gate?

As many as you like. As long as a model supports skills, you can use Paper Quality Gate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Paper Quality Gate AI skill free?

Yes. It is published on GitHub by TokenRhythm under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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