sr-screener SKILL.md skillA

sr-screener from imbad0202/academic-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add imbad0202/academic-research-skills/sr-screener@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
imbad0202/academic-research-skills
Path
sr-screener/SKILL.md
Versions recorded
2
Latest version
v1.0.0, committed Oct 10, 2026
First version recorded
Oct 3, 2026
Size
33,843 bytes
Repository stars
54,716
License
a license file GitHub does not identify

Protocol-driven study screening for systematic, scoping and rapid reviews. Turns a proposal or PROSPERO protocol into confirmed eligibility rules, then screens titles/abstracts and full texts with two blinded AI reviewers and a third-reviewer adjudicator: ordered exclusion codes, no silent defaults, resumable batch runs, QC (seed studies, near-miss rechecks, kappa and PABAK), PRISMA 2020 counts, EndNote/Zotero RIS groups, an Excel log, a methods draft and a literature_corpus handoff to…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# SR-Screener v1.0.0 — Protocol-Driven Screening Decisions

Screening is where a systematic review quietly loses studies: criteria drift, tired reviewers,
records that fall between two batches. This skill makes each screening decision explicit and
traceable. The criteria are fixed before any record is read, every record gets two independent
decisions, disagreements go to a third reviewer, nothing is ever decided by default, and every
number in the PRISMA flow can be traced to a file. The AI reviewers support the review team;
people sign off on the final screening.

The skill sits between `deep-research` (question, protocol, search) and `academic-paper`
(writing the review). Dual review at scale uses the Workflow tool (or one Agent call per batch);
small sets work in a single session. The deterministic steps are Python scripts in this skill's
`scripts/` folder (Python 3.9+, standard library only; `openpyxl` is optional and gives an Excel
log instead of CSV files).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add imbad0202/academic-research-skills/sr-screener@sha256:b737e314865c0d26

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_bhhhdo65trt3rftz.svg)](https://markdownregistry.com/a/art_bhhhdo65trt3rftz)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Oct 3, 2026 and Oct 10, 2026, about one every 7 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-10 ebc21bf 33,843 BA view · diff
v1.0.02026-10-03 48deedf 33,609 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (33843 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

imbad0202/academic-research-skills · 54,716 stars · license a license file GitHub does not identify · pushed 2026-10-31 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bhhhdo65trt3rftz
GET https://markdownregistry.com/api/v1/resolve?ref=imbad0202/academic-research-skills/sr-screener
GET https://markdownregistry.com/api/v1/blob/b737e314865c0d26cbfc2721a2e7a2df430a0687be950636329cb6ad52cd15f0

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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