paper-summarizer

paper-summarizer is a skill for Claude Code, Codex from Firstp1ck/pi-coding-agent-forge. It costs 46 tokens per session (954 once invoked), scanned A, a copy of paper-summarizer, MIT.

A guide for summarising academic and technical papers, including preprints, journal articles, conference papers, and PDFs, in a way that connects findings to their supporting sections, figures, or tables.

In plain words
What is it for?
Use it to extract methods, findings, limitations, and practical engineering implications from papers on sites such as arXiv, PubMed, IEEE, or ACM.
Why use it?
It makes dense research easier to assess while showing where each important claim comes from and whether it is a measured result or simply stated by the authors.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

Good fit Use it to extract methods, findings, limitations, and practical engineering implications from papers on sites such as arXiv, PubMed, IEEE, or ACM.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/firstp1ck/pi-coding-agent-forge/paper-summarizer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Firstp1ck/pi-coding-agent-forge --skill paper-summarizer
Clone the repo
git clone --depth 1 https://github.com/Firstp1ck/pi-coding-agent-forge

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for paper-summarizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/firstp1ck/pi-coding-agent-forge/paper-summarizer/github.svg)](https://agentmods.dev/skills/firstp1ck/pi-coding-agent-forge/paper-summarizer)
Your own site
<a href="https://agentmods.dev/skills/firstp1ck/pi-coding-agent-forge/paper-summarizer"><img src="https://agentmods.dev/badge/skills/firstp1ck/pi-coding-agent-forge/paper-summarizer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for paper-summarizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/firstp1ck/pi-coding-agent-forge/paper-summarizer"><img src="https://agentmods.dev/badge/skills/firstp1ck/pi-coding-agent-forge/paper-summarizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 954 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 86% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.00954
Opus 5.5 $0.00018 $0.00382
Sonnet 5.5 $0.00009 $0.00191
Haiku 4.5 $0.00005 $0.00095

Measured 1mo ago against content hash b646c4d202bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

paper-summarizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

86% identical to paper-summarizer — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

pi-skill-paper-summarizer/skills/paper-summarizer/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper Summarizer

Extract actionable insights from academic and technical papers.

Summary Format

# 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 (`workspace-researcher/AGENTS.md`). 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 our stack: [Specific applicability to Rust/TS/Python work]
- For our 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)

Read the full file on GitHub · 114 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 114 lines · 46 tokens per session scan A b646c4d202bc

Subscribe to this mod's changes

paper-summarizer is a skill published in the GitHub repository Firstp1ck/pi-coding-agent-forge (91 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 954 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to paper-summarizer, differing in 11 lines, and is treated as a copy.

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