Home / sidiangongyuan / codex-skills-library · skills/research-evidence/SKILL.md · GitHub

research-evidence skillA

research-evidence is agent-read markdown (skill) from sidiangongyuan/codex-skills-library: Use when research writing, reviews, rebuttals, or related-work planning needs academic evidence. Searches literature, screens candidate papers, audits novelty and missing work, verifies DOI/BibTeX/reference metadata and citation authenticity, and checks whether sources support the stated claims..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Research Evidence

## Overview

Use this skill as the shared evidence layer for paper writing, related work, review, and rebuttal work. It does not replace domain judgment: it finds and checks evidence, then reports support level, gaps, and risks.

## Hard Boundaries

- Use public metadata, open-access PDFs, and user-provided local PDFs only.
- Do not use Sci-Hub or any route that bypasses access control.
- Do not write Markdown, JSON, CSV, or report files unless the user explicitly asks for saved artifacts.
- Run RefChecker in non-LLM mode by default. Enable LLM-assisted extraction or hallucination checks only when the user explicitly requests it and accepts the privacy/cost tradeoff.
- Treat tool output as evidence to inspect, not final truth. Mark weak coverage, metadata mismatches, and unsupported claims clearly.

## Venue Defaults

Prefer these venues when the user does not specify otherwise:

- Computer Vision: CVPR, ICCV, ECCV.
- ML/AI: ICLR, NeurIPS/NIPS, ICML.
- Autonomous driving, robotics, and collaborative perception secondary venues: CoRL, ICRA, IROS, AAAI, IJCAI, T-ITS, RA-L.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add sidiangongyuan/codex-skills-library/research-evidence@git:20260712.ef71354
Exact content
mdr add sidiangongyuan/codex-skills-library/research-evidence@sha256:2b8d91281801d653

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_qfhzcrvfz4upzzzg.svg)](https://markdownregistry.com/a/art_qfhzcrvfz4upzzzg)

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Versions

versioncommittedcommitsizeaudit
git:20260712.ef71354 latest2026-07-12 ef71354 5,170 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (5170 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

sidiangongyuan/codex-skills-library · 9 stars · license MIT · pushed 2026-09-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_qfhzcrvfz4upzzzg
GET https://markdownregistry.com/api/v1/resolve?ref=sidiangongyuan/codex-skills-library/research-evidence
GET https://markdownregistry.com/api/v1/blob/2b8d91281801d6539a436722bbabee78c4677871a50e9c4d72de94006991ea72

Your agent 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.

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