Agent skill

Document Memory Summarize

by runtsang in runtsang/RebuttalStudio

Summarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section headings and no fabricated claims.

No licenceAuto-check passedDocuments & Office

Install Document Memory Summarize

skills CLI
$ npx skills add runtsang/RebuttalStudio --skill document-memory-summarize -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install runtsang/RebuttalStudio document-memory-summarize --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/runtsang/RebuttalStudio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/document-memory/summarize .claude/skills/document-memory-summarize && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
document-memory-summarize
GitHub stars
218
Token cost
~277 tokens
SKILL.md length
117 words
Files
2 (incl. scripts)
Skills in repo
19
Repo updated
First seen
Licence
None found

At a glance

Summarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section headings and no fabricated claims.

  • Works in 5 steps: Keep the Markdown concise and scannable. → Preserve the main theoretical ideas,… → Ignore references, appendices, and… → …
  • Tasks that involve Markdown
  • SKILL.md covers Goal, Input, Output and Required Markdown headings, plus 1 more section
  • Runs Python scripts from its folder

What it does

Document Memory Summarize is an agent skill from runtsang/RebuttalStudio. Summarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section headings and no fabricated claims.

Its SKILL.md is about 280 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/extract_pdf_text.py`).

It sits in Documents & Office, covering Markdown. The repository describes itself as: A rebuttal editor for researchers to craft high-quality academic rebuttals — so you can focus on what to say, not how to format it.

When your agent uses it

  • Tasks that involve Markdown

Example prompts

  • “/document-memory-summarize”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Keep the Markdown concise and scannable.
  2. Preserve the main theoretical ideas, methods, experiments, and conclusions.
  3. Ignore references, appendices, and supplementary material unless the main text clearly depends on them.
  4. Do not invent numbers, citations, experiments, or claims.
  5. If a section is weak or missing in the source, keep the heading and add a short grounded note instead of guessing.

What it can do on your machine

Read from SKILL.md and the folder at commit 1f81e2f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Document Memory Summarize loads about 277 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 117 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~277

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 117 words (~277 tokens).

“Convert extracted document text into a concise Markdown memory file that is easy to edit and reuse in later rebuttal stages.”

— opening of SKILL.md by runtsang
name
document-memory-summarize

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (scripts) in skills/document-memory/summarize of runtsang/RebuttalStudio.

  • SKILL.md
  • scripts/extract_pdf_text.py

Open the folder on GitHubat commit 1f81e2f

Compare with similar skills

Document Memory Summarize next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Document Memory Summarize compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Document Memory Summarize this skillruntsang/RebuttalStudio218—~277Automated safety check: PassNone
Markdown Article FormatterJimLiu/baoyu-skills26k6 repos~3.5kAutomated safety check: PassMIT
MarkitdownImCa0/just-laws78114 repos~3.2kAutomated safety check: NotesMIT
Obsidian MarkdownAtmosphere/atmosphere3.8k20 repos~1.3kAutomated safety check: PassApache-2.0
Gzh Designisjiamu/gzh-design-skill3.9k1 repos~2.2kAutomated safety check: PassAGPL-3.0
Crosspostingwasp-lang/wasp19k—~1.1kAutomated safety check: PassMIT

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Questions about Document Memory Summarize

What does Document Memory Summarize do?

Summarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section headings and no fabricated claims. Document Memory Summarize is an agent skill from runtsang/RebuttalStudio. Summarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section headings and no fabricated claims.

When should I use Document Memory Summarize?

Document Memory Summarize fits situations like: tasks that involve Markdown.

How do I install Document Memory Summarize in Claude Code?

Run `npx skills add runtsang/RebuttalStudio --skill document-memory-summarize -a claude-code`. Or copy the skill folder (skills/document-memory/summarize in runtsang/RebuttalStudio) into .claude/skills/document-memory-summarize in your project. Claude Code loads it when a task matches its description.

How do I install Document Memory Summarize in Codex?

Run `npx skills add runtsang/RebuttalStudio --skill document-memory-summarize -a codex`. Or copy the skill folder (skills/document-memory/summarize in runtsang/RebuttalStudio) into .agents/skills/document-memory-summarize in your project. Codex loads it when a task matches its description.

Can I use Document Memory Summarize in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add runtsang/RebuttalStudio --skill document-memory-summarize -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/document-memory-summarize, .gemini/skills/document-memory-summarize, .github/skills/document-memory-summarize and .opencode/skills/document-memory-summarize in your project.

What does Document Memory Summarize need to run?

Going by SKILL.md and its folder, Document Memory Summarize needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Document Memory Summarize access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Document Memory Summarize safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Document Memory Summarize use?

No licence was found for Document Memory Summarize or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Document Memory Summarize use?

About 277 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Document Memory Summarize?

Skills that share tags, products or a category with Document Memory Summarize: Markdown Article Formatter (JimLiu/baoyu-skills, 26k stars), Markitdown (ImCa0/just-laws, 781 stars), Obsidian Markdown (Atmosphere/atmosphere, 3.8k stars) and Gzh Design (isjiamu/gzh-design-skill, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Document Memory Summarize?

runtsang (a GitHub user) maintains it in runtsang/RebuttalStudio, which has 218 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on April 3, 2026.

Source: runtsang/RebuttalStudio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.