An academic-paper rating procedure that scores a paper from 1 to 5 using its page count, author affiliations, and citation count. It uses a PDF and can download one from a URL, arXiv ID, or DOI; arXiv is a repository for research papers and a DOI is a paper identifier.

Use it to collect paper information, check citations in Semantic Scholar, calculate the rating, and save a rating file beside the paper.

It replaces a subjective quick judgement with a documented score based on stated signals and saved rating details.

paper.rate — Skill for Claude Code by gpsaggese/helpers

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 gpsaggese/helpers --skill paper.rate

Clone the repo

git clone --depth 1 https://github.com/gpsaggese/helpers

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/gpsaggese/helpers/paper.rate/github.svg)](https://agentmods.dev/skills/gpsaggese/helpers/paper.rate)

Your own site

<a href="https://agentmods.dev/skills/gpsaggese/helpers/paper.rate"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/paper.rate/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/gpsaggese/helpers/paper.rate"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/paper.rate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 439 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 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.

Model	Per session	Once invoked
Fable 5.1	$0.00017	$0.00439
Opus 5.5	$0.00007	$0.00176
Sonnet 5.5	$0.00003	$0.00088
Haiku 4.5	$0.00002	$0.00044

Measured yesterday against content hash 172aaf6be572, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

paper.rate 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 yesterday.

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.

.claude/skills/paper.rate/SKILL.md · 57 lines

What it actually says

Goal

Rate the passed paper from 1 (low) to 5 (best) by its page length, its authors' affiliations, and its citation count
Follow .claude/skills/paper.rules.md, # Paper Rating

Workflow

Get the Paper

Use the PDF the user passes
If the input is a URL, an arXiv ID, or a DOI, download only the PDF with download_academic_paper_to_md.py --input <INPUT> --clear_actions --action download

Collect the Signals

Count the pages of the PDF
Read the affiliations of all authors on the first page
Look up the citation count in Semantic Scholar for the DOI or arXiv ID and note the date
Do not use memory for any of these values

Rate

Score each signal and compute the rating with the tables in .claude/skills/paper.rules.md

Write the Rating File

Save <BASE>.rating.md next to the paper, where <BASE> is the PDF name without .pdf
Follow .claude/templates/paper_rating.template.md
State in the file how it was generated, right after the title:
```
- Generated by `.claude/skills/paper.rate/SKILL.md`
```
Report the rating and the three scores to the user

Constraints

Use whole numbers only
If a signal is not found, write unknown and leave it out of the mean

Verification

The rating is an integer from 1 to 5
Each signal has a value and a score
The citation count has a source and a date
The rating equals the mean of the known scores, rounded half up
The rating file says it was generated by .claude/skills/paper.rate/SKILL.md

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.

yesterday First seen · 57 lines · 17 tokens per session scan A 172aaf6be572

Subscribe to this mod's changes

paper.rate is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 17 tokens to every session and 439 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-11-06.

Research Scientific

paper.rate next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
paper.rategpsaggese/helpers	Skill	158	today	Apache-2.0	A	17	Claude Code
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	today	Apache-2.0	A	123	Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skills	Skill	56k	5d ago	MIT	A	83	Claude Code
matlabK-Dense-AI/scientific-agent-skills	Skill	56k	5d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	56k	5d ago	MIT	A	71	Claude Code, Codex
research-engineerdavila7/claude-code-templates	Skill	33k	today	MIT	A	43	Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmed	Skill	5.8k	today	Apache-2.0	A	205	Claude Code