agentic-reviewer: Skill for Claude Code

.cursor/skills/review-scope/SKILL.md

review-scope is a skill for Claude Code, Cursor from FilippoScaramuzza/agentic-reviewer. It costs 38 tokens per session (413 once invoked), scanned A, original, MIT.

A review of whether a research paper matches a journal's subject area, published content, paper types, and acceptance expectations. A journal is a publication venue for academic research.

In plain words
What is it for?
Assessing topic alignment, contribution level, similarity to recent papers, and overall fit with a target journal.
Why use it?
It helps identify scope mismatches, weak differentiation, or a better-fitting journal before submission and possible desk rejection.

Skill for Claude CodeCursor

Written for Claude Code and Cursor: disable-model-invocation in frontmatter, but also installed under .cursor/.

This is FilippoScaramuzza/agentic-reviewer's own configuration. It tells Claude Code and Cursor how to work on agentic-reviewer itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentic-reviewer configures →

Reuse

Borrowing it

Nothing to install: this file belongs to FilippoScaramuzza/agentic-reviewer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/FilippoScaramuzza/agentic-reviewer/main/.cursor/skills/review-scope/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/FilippoScaramuzza/agentic-reviewer

Made for: Claude Code, Cursor.

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 review-scope

README.md
[![agentmods](https://agentmods.dev/badge/skills/filipposcaramuzza/agentic-reviewer/review-scope/github.svg)](https://agentmods.dev/skills/filipposcaramuzza/agentic-reviewer/review-scope)
Your own site
<a href="https://agentmods.dev/skills/filipposcaramuzza/agentic-reviewer/review-scope"><img src="https://agentmods.dev/badge/skills/filipposcaramuzza/agentic-reviewer/review-scope/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 review-scope

Your own site · 80×15
<a href="https://agentmods.dev/skills/filipposcaramuzza/agentic-reviewer/review-scope"><img src="https://agentmods.dev/badge/skills/filipposcaramuzza/agentic-reviewer/review-scope.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 413 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.00413
Opus 5 $0.00019 $0.00206
Sonnet 5 $0.00008 $0.00083
Haiku 4.5 $0.00004 $0.00041

Measured 10d ago against content hash 9acf6889c1d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

review-scope 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 10d 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.

.cursor/skills/review-scope/SKILL.md · 47 lines

What it actually says

Review Scope

Assess whether a paper fits the aims, scope, and typical content of a target journal.

Prerequisites

Before starting, read:

  1. The paper file
  2. context/<journal-slug>/scope-and-criteria.md
  3. context/<journal-slug>/recent-papers-analysis.md

Review Checklist

Topic Alignment

  • Does the paper's primary subject fall within the journal's stated scope?
  • Is the research domain explicitly mentioned in the aims & scope?
  • Would the paper's topic be of interest to the journal's target audience?

Contribution Level

  • Is the level of contribution appropriate for this venue?
  • Does the novelty meet the journal's typical threshold?
  • Is the paper type accepted by the journal (research, review, etc.)?

Competitive Fit

  • How does this paper compare to recent publications in the journal?
  • Are there similar papers already published? Does this offer enough differentiation?
  • Would this paper strengthen or weaken the journal's portfolio?

Specific Concerns

  • Are there scope misalignments that could lead to desk rejection?
  • Would a different journal be a better fit? Which one(s)?

Rating Scale

  • 5/5: Excellent fit, clearly within scope and contribution level
  • 4/5: Good fit with minor scope questions
  • 3/5: Adequate fit with some concerns about alignment
  • 2/5: Poor fit, likely to be desk-rejected or require major reframing
  • 1/5: Does not fit this venue at all

Output Location

Save to <report-directory>/05-scope-review.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.

  1. 10d ago First seen · 47 lines · 38 tokens per session scan A 9acf6889c1d8

Subscribe to this mod's changes

review-scope is a skill published in the GitHub repository FilippoScaramuzza/agentic-reviewer (2 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 413 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

wiki-ingest

Compile a raw source (document, URL content, meeting notes, research output) into a wikikit agent wiki — merge-don't-overwrite, log contradictions, maintain cross-references, then lint. Use whenever the user says "add this to the wiki", "ingest this", or drops new source material for a wiki maintained with…

AvalancheAI-labs/agent-wiki-kit · 77 tokens

ingest-wiki

The hybrid write engine for a wiki vault that combines twoweeks-style durable knowledge management with Karpathy-style execution discipline. Supports four modes: ingest, direct-update, lint, and save-output. Read WIKISCHEMA.md first if present, then CLAUDE.md. Mutating operations require CLAUDE.md.

panamini/Pagecraft · 68 tokens

ingest-wiki

The write engine for the twoweeks wiki. Use this skill for four modes: ingest (process files staged in rawinput/), direct-update (apply explicit wiki edits), lint (validate structure, links, metadata, and drift), and save-output (persist an answer, audit, analysis, or report to wiki/outputs/). Read WIKISCHEMA.md first…

panamini/Pagecraft · 114 tokens

karpathy-guidelines

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

panamini/Pagecraft · 46 tokens

deploy-docker-compose

Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…

omnigent-ai/omnigent · 84 tokens

security-audit

Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only — never fix.

omnigent-ai/omnigent · 64 tokens