A protocol-driven screening tool for systematic, scoping, and rapid reviews. It turns a proposal or PROSPERO protocol into eligibility rules, then uses two independent AI reviewers and a third reviewer to resolve disagreements when screening study records and full texts.

Use it to define screening criteria, screen titles, abstracts, and full texts, and adjudicate conflicting decisions.

It structures study selection so decisions follow confirmed rules, record exclusion reasons, and can resume across batches.

sr-screener — Skill for Claude Code by Imbad0202

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 Imbad0202/academic-research-skills --skill sr-screener

Clone the repo

git clone --depth 1 https://github.com/Imbad0202/academic-research-skills

Made for: Claude Code.

Or install academic-research-skills, the plugin that ships this one along with the rest of its 5 skills, 16 commands, 42 agents, 2 hooks.

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/imbad0202/academic-research-skills/sr-screener/github.svg)](https://agentmods.dev/skills/imbad0202/academic-research-skills/sr-screener)

Your own site

<a href="https://agentmods.dev/skills/imbad0202/academic-research-skills/sr-screener"><img src="https://agentmods.dev/badge/skills/imbad0202/academic-research-skills/sr-screener/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/imbad0202/academic-research-skills/sr-screener"><img src="https://agentmods.dev/badge/skills/imbad0202/academic-research-skills/sr-screener.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 234 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 7,736 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

Socket pass 16 Oct 2026
Snyk pass 16 Oct 2026

How audits are shown

Origin unknown 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	$0.00234	$0.07736
Opus 5.5	$0.00094	$0.03094
Sonnet 5.5	$0.00047	$0.01547
Haiku 4.5	$0.00023	$0.00774

Measured 17d ago against content hash b737e314865c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

sr-screener scanned grade C with 1 finding 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 17d ago.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/build_outputs.py, scripts/build_workflow.py, scripts/merge_decisions.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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

sr-screener/SKILL.md · 517 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

24 files 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.

17d ago Changed b737e314865c
24d ago First seen · 517 lines · 234 tokens per session scan C 61a7729cb59d

Subscribe to this mod's changes

sr-screener is a skill published in the GitHub repository Imbad0202/academic-research-skills (54,175 stars, last pushed today), with no licence file. It adds 234 tokens to every session and 7,736 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-04.

Claude Code Research Scientific academic-writing ai-research claude literature-review peer-review

ara-rigor-reviewer

Performs ARA Seal Level 2 semantic epistemic review on Agent-Native Research Artifacts, scoring six dimensions (evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, methodological rigor) and producing a constructive, severity-ranked report with a Strong Accept-to-Reject…

Orchestra-Research/AI-Research-SKILLs · 91 tokens

systems-paper-writing

Comprehensive guide for writing systems papers targeting OSDI, SOSP, ASPLOS, NSDI, and EuroSys. Provides paragraph-level structural blueprints, writing patterns, venue-specific checklists, reviewer guidelines, LaTeX templates, and conference deadlines. Use this skill for all systems conference paper writing.

Orchestra-Research/AI-Research-SKILLs · 66 tokens

academic-humanizer

Use when researchers ask to remove generic, templated, or AI-like patterns from Chinese or English academic prose, make an AI-assisted draft sound more like the author's own scholarly voice, or audit a paper for “AI味”. Preserve every scientific claim, number, equation, citation, limitation, and uncertainty. Not for…

Yila-AI/awesome-research-skills · 78 tokens

sci-ssci-polishing

Use when researchers need Chinese academic prose translated into publication-oriented English or English manuscript paragraphs and complete sections polished for SCI, SSCI, or interdisciplinary submission.

Yila-AI/awesome-research-skills · 38 tokens

refactor-research-code

Clean research code for public release while preserving reported results. Uses releaseaudit.py to separate safe mechanical cleanup from ask-first behavior risks and identity leaks. Use for release-ready repos, dead experiment branches, config extraction, documented entrypoints, and double-blind code cleanup.

ShaishavMaisuria/research-paper-lifecycle-skills · 60 tokens

prepare-artifacts

Prepares a reproducibility artifact (code/data) for submission and badging. Use when a researcher says "artifact evaluation", "artifact appendix", "reproducibility", "badge", "Artifacts Available/Evaluated/Functional/Reusable", "Results Reproduced/Replicated", "ACM badging", "USENIX/OSDI/SOSP AE", "SIGMOD ARI"…

ShaishavMaisuria/research-paper-lifecycle-skills · 225 tokens