paper-details

paper-details is a skill for Claude Code from mathbullet/skills. It costs 97 tokens per session (3,074 once invoked), scanned A, original, MIT.

A detailed Markdown explainer of an academic paper, organized to follow the paper’s sections and explain its equations, variables, and references.

In plain words
What is it for?
Use it to turn a paper PDF into a report containing bibliographic details, the abstract, section-by-section explanations, rendered equations, variable tables, and citations.
Why use it?
It helps readers understand a paper faithfully without requiring them to reconstruct its structure from the original PDF. It also keeps information about the paper and outside sources clearly separated.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the paper-details plugin — 1 skill shipped together

Good fit Use it to turn a paper PDF into a report containing bibliographic details, the abstract, section-by-section explanations, rendered equations, variable tables, and citations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mathbullet/skills/paper-details
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 mathbullet/skills --skill paper-details
Clone the repo
git clone --depth 1 https://github.com/mathbullet/skills

Made for: Claude Code.

Or install paper-details, the plugin that ships this one along with the rest of its 1 skill.

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-details

README.md
[![agentmods](https://agentmods.dev/badge/skills/mathbullet/skills/paper-details.svg)](https://agentmods.dev/skills/mathbullet/skills/paper-details)
Your own site
<a href="https://agentmods.dev/skills/mathbullet/skills/paper-details"><img src="https://agentmods.dev/badge/skills/mathbullet/skills/paper-details.svg" alt="Measured on agentmods" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,074 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 21
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found 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 $0.00097 $0.03074
Opus 5 $0.00048 $0.01537
Sonnet 5 $0.00019 $0.00615
Haiku 4.5 $0.00010 $0.00307

Measured 8d ago against content hash dd385a4aef03, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

paper-details 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/extract_images.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/paper-details/skills/paper-details/SKILL.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper Details

Conventions for producing a detailed Markdown explainer of an academic paper. The aim of this skill is to describe the paper accurately, not to critique it.

This skill follows the shared sourced-writing conventions defined in documenting-with-sources. Read documenting-with-sources before drafting.

1. Deliverable structure

1.0 Output location

Write the explainer as a .md file under the project's reports/ directory, where "the project" is the root that contains the source paper PDF. Create the directory if it does not exist.

  • Path: {project-root}/reports/{paper-filename-base}.md
  • Example: if the PDF is at /path/to/project/papers/foo.pdf, the output is /path/to/project/reports/foo.md

Do not write next to the PDF, and do not write at the project root. Do not ask the user for the output path — determine it mechanically by the rule above.

1.1 Opening

In this order:

  1. Title (# {paper title} — Detailed Explainer)
  2. Bibliographic info (authors, affiliations, venue, year, arXiv/DOI, URL)
  3. Full abstract — quote the original in a code block per writing-quotation; if the original is in a non-working language, place the translation alongside as a separate paragraph in the same block.

1.2 Body section structure

The body's section structure follows the paper's. If the paper has Section 1 Introduction, Section 2 Method, Section 3 Results, ..., the explainer uses the same order and the same headings.

Add explainer-only sections (e.g. "Strengths of the paper", "Limitations of the paper", "Source list") after the paper's own section structure.

1.3 Bullet lists vs prose

Pick the form by the nature of the content.

  • Bullet lists fit enumerations of parallel items — variable lists, definitions of evaluation metrics, table-column descriptions, comparison points between methods, etc. When the content is genuinely list-shaped, the prose form blurs the boundaries between items.
  • Prose fits relationships, causal flow, contextual explanation. When the reader needs to understand why items appear together or how they form a single argument, prose is what holds it together.

Read the full file on GitHub · 202 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 202 lines · 97 tokens per session scan A dd385a4aef03

Subscribe to this mod's changes

paper-details is a skill published in the GitHub repository mathbullet/skills (121 stars, last pushed today), licensed MIT. It adds 97 tokens to every session and 3,074 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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