Agent skill

Paper Summarizer

by waybarrios in waybarrios/opencode-power-pack

Agents should invoke this skill for academic or technical papers, arXiv/PubMed/IEEE/ACM links, PDFs, methodology review, limitations, practical implications, or extracting findings for engineering…

MITAuto-check passedResearch & Science

Install Paper Summarizer

skills CLI
$ npx skills add waybarrios/opencode-power-pack --skill paper-summarizer -a claude-code

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

GitHub CLI
$ gh skill install waybarrios/opencode-power-pack paper-summarizer --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/waybarrios/opencode-power-pack.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/paper-summarizer .claude/skills/paper-summarizer && 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
paper-summarizer
GitHub stars
534
Token cost
~951 tokens
SKILL.md length
214 words
Files
1
Skills in repo
32
Repo updated
First seen
Licence
MIT

At a glance

Agents should invoke this skill for academic or technical papers, arXiv/PubMed/IEEE/ACM links, PDFs, methodology review, limitations, practical implications, or extracting findings for engineering…

  • Works in 5 steps: Access the Paper → Read Strategically → Extract claims with locations → …
  • Tasks that involve Academic paper search
  • SKILL.md covers Summary Format and Process
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Paper Summarizer is an agent skill from waybarrios/opencode-power-pack. Agents should invoke this skill for academic or technical papers, arXiv/PubMed/IEEE/ACM links, PDFs, methodology review, limitations, practical implications, or extracting findings for engineering decisions.

Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Academic paper search. It works with arXiv and PubMed. The repository describes itself as: 54 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more. The licence is MIT.

When your agent uses it

  • Tasks that involve Academic paper search

Example prompts

  • “Use the paper-summarizer skill to agent should invoke this skill for academic or technical papers, arXiv/PubMed/IEEE/ACM links, PDFs, methodology…”
  • “/paper-summarizer”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Access the Paper
  2. Read Strategically
  3. Extract claims with locations
  4. Extract Practical Value
  5. Assess Reliability

What it can do on your machine

Read from SKILL.md and the folder at commit 9dccb6d. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    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

Paper Summarizer loads about 951 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 214 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~951

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from waybarrios/opencode-power-pack at commit 9dccb6d, republished under its MIT licence (© waybarrios). 214 words, ~951 tokens.

Download SKILL.mdSave it as .claude/skills/paper-summarizer/SKILL.md (or your agent's skills folder).
name
paper-summarizer
description
Agents should invoke this skill for academic or technical papers, arXiv/PubMed/IEEE/ACM links, PDFs, methodology review, limitations, practical implications, or extracting findings for engineering decisions.
license
MIT (modified; see UPSTREAMS.json)

Paper Summarizer

Extract actionable insights from academic and technical papers.

Summary Format

markdown
# Paper Summary: <Paper Title>

**Authors:** [Author list]
**Published:** [Journal/Conference, Date]
**Link:** [URL]
**Quality:** Peer-reviewed / Preprint / Workshop paper

## TL;DR

[1-2 sentence summary of the key contribution]

## Problem

[What problem does this paper address? Why does it matter?]

## Approach

[Methodology in plain language — what did they do?]

## Key Findings

Anchor each finding to the paper so readers can verify. Use **§** for sections, **Fig.** / **Table** when the evidence is visual or tabular.

1. **[Finding 1]:** [Description with key metrics/numbers] — *Evidence:* §[N] [section name]; [Fig. X / Table Y if applicable]
2. **[Finding 2]:** [Description] — *Evidence:* §[N] …
3. **[Finding 3]:** [Description] — *Evidence:* §[N] …

## Claim–evidence map

| # | Claim (one line) | Where in paper | Type |
|---|------------------|----------------|------|
| 1 | [Claim] | §3.2 Results, Table 2 | Empirical |
| 2 | [Claim] | §1 Introduction | Stated goal |
| 3 | [Claim] | Fig. 4 | Qualitative |

Use this table for citation-audit alignment against the project's own research notes. If the PDF has no section numbers, use **page** or **heading text** instead of §.

## Practical Implications

[What does this mean for practitioners? How can we use these findings?]
- For the current stack: [Specific applicability to Rust/TS/Python work]
- For current projects: [How this might inform current work]

## Limitations

- [Limitation 1: e.g., small sample size, specific domain]
- [Limitation 2: e.g., not replicated, theoretical only]

## Related Work

- [Paper 1] — [How it relates]
- [Paper 2] — [How it relates]

## Verdict

**Reliability:** High / Medium / Low
**Relevance to us:** High / Medium / Low
**Action:** Apply directly / Consider for future / Interesting but not actionable

Process

Step 1 — Access the Paper
  • Check arXiv, PubMed, Google Scholar for open-access versions
  • If behind a paywall, note this and work with the abstract and any available supplementary material
  • Check for author's personal page (often has preprints)
Step 2 — Read Strategically
  1. Abstract — Get the overview
  2. Introduction (last paragraph) — Usually states the contribution
  3. Figures and tables — Often convey key results
  4. Conclusion — Summary of findings and limitations
  5. Methodology — If the findings are relevant enough to dig deeper
Step 3 — Extract claims with locations

Before paraphrasing implications, list atomic claims the paper makes (results, bounds, contributions). For each: section / figure / table reference (or page). Prefer primary evidence (results section) over abstract-only restatement.

Step 4 — Extract Practical Value

The most important question: "What can we do differently because of this paper?"

  • If the answer is "nothing" — still summarize, but note low actionability
  • If the answer is specific — tie each implication to a row in Claim–evidence map where possible
Step 5 — Assess Reliability
FactorAssessment
Peer review statusPublished / Preprint / Workshop
ReplicationReplicated / Single study / Theoretical
Sample sizeAdequate / Small / N/A
Methodology rigorStrong / Moderate / Weak
Author credibilityEstablished / New / Anonymous
Conflicts of interestNone apparent / Funded by [X] / Vendor paper

© waybarrios, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/paper-summarizer of waybarrios/opencode-power-pack.

Open the folder on GitHubat commit 9dccb6d

Compare with similar skills

Paper Summarizer 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.

Paper Summarizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Paper Summarizer this skillwaybarrios/opencode-power-pack534—~951Automated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT
Citation Managementneflibata-feng/MyArxiv-Agent12619 repos~8.1kAutomated safety check: NotesMIT
Paper Searchopenags/paper-search-mcp2.8k—~1.2kAutomated safety check: NotesMIT
Nature Academic Searchwp-a/nature-academic-search304—~1.4kAutomated safety check: PassMIT

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Works with

Questions about Paper Summarizer

What does Paper Summarizer do?

Agents should invoke this skill for academic or technical papers, arXiv/PubMed/IEEE/ACM links, PDFs, methodology review, limitations, practical implications, or extracting findings for engineering…. Paper Summarizer is an agent skill from waybarrios/opencode-power-pack. Agents should invoke this skill for academic or technical papers, arXiv/PubMed/IEEE/ACM links, PDFs, methodology review, limitations, practical implications, or extracting findings for engineering decisions.

When should I use Paper Summarizer?

Paper Summarizer fits situations like: tasks that involve Academic paper search.

How do I install Paper Summarizer in Claude Code?

Run `npx skills add waybarrios/opencode-power-pack --skill paper-summarizer -a claude-code`. Or copy the skill folder (skills/paper-summarizer in waybarrios/opencode-power-pack) into .claude/skills/paper-summarizer in your project. Claude Code loads it when a task matches its description.

How do I install Paper Summarizer in Codex?

Run `npx skills add waybarrios/opencode-power-pack --skill paper-summarizer -a codex`. Or copy the skill folder (skills/paper-summarizer in waybarrios/opencode-power-pack) into .agents/skills/paper-summarizer in your project. Codex loads it when a task matches its description.

Can I use Paper Summarizer 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 waybarrios/opencode-power-pack --skill paper-summarizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paper-summarizer, .gemini/skills/paper-summarizer, .github/skills/paper-summarizer and .opencode/skills/paper-summarizer in your project.

What does Paper Summarizer need to run?

SKILL.md names no scripts, command-line tools or credentials: Paper Summarizer is instructions for the agent only. Our summary lists: Python 3.

Does Paper Summarizer 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 Paper Summarizer 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. Review the folder before installing.

What licence does Paper Summarizer use?

Paper Summarizer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Paper Summarizer use?

About 951 tokens (SKILL.md is roughly 3.8k 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 Paper Summarizer?

Skills that share tags, products or a category with Paper Summarizer: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars), Citation Management (neflibata-feng/MyArxiv-Agent, 126 stars) and Paper Search (openags/paper-search-mcp, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Paper Summarizer?

waybarrios (a GitHub user) maintains it in waybarrios/opencode-power-pack, which has 534 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 6, 2026.

Source: waybarrios/opencode-power-pack on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.