scholar-evaluation SKILL.md skillA

scholar-evaluation from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add k-dense-ai/scientific-agent-skills/scholar-evaluation@v2.4

Pins v2.4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
k-dense-ai/scientific-agent-skills
Path
skills/scholar-evaluation/SKILL.md
Versions recorded
7
Latest version
v2.4, committed Oct 1, 2026
First version recorded
Jul 21, 2026
Size
12,418 bytes
Repository stars
56,497
License
MIT

Provides qualitative-first, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with optional local quality controls. Never use for ranking people or consequential decisions.

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

# Scholar Evaluation

## Purpose

Provide developmental, evidence-traceable feedback on a **scholarly work**:
paper, draft, protocol, literature synthesis, or research idea. Use
qualitative judgment first. Optional scores only describe how submitted
evidence maps to a predeclared bounded rubric.

This skill also audits whether a low-stakes assessment process documents its
construct, provenance, rater quality, uncertainty, traceability, sensitivity,
fairness, accessibility, privacy, and human governance.

## Hard safety boundary

Never use this skill to automate, recommend, materially influence, or score:

- hiring, promotion, or tenure;
- admissions;
- grants or other funding;
- prizes, honors, or awards;
- discipline, dismissal, or sanctions; or
- any other high-impact personnel decision.

Never rank people. Never reduce a person to a composite score. Never infer
ability, character, integrity, protected traits, future performance, or worth.
A nominal human-in-the-loop does not remove this boundary.

If asked for a prohibited use, stop. Offer developmental comments on a
scholarly work or a process-only audit that does not process applications,
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add k-dense-ai/scientific-agent-skills/scholar-evaluation@sha256:9abc66a9ba13f6cf

The line at the top of this page pins the label v2.4, 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_slt4u46avsudnfbu.svg)](https://markdownregistry.com/a/art_slt4u46avsudnfbu)

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

Versions

The registry has recorded 7 versions of this file, between Jul 21, 2026 and Oct 1, 2026, about one every 12 days.

versioncommittedcommitsizeaudit
v2.4 latest2026-10-01 a92663a 12,418 BA view · diff
v2.32026-09-30 ce9e6e9 12,010 BA view · diff
v2.22026-09-02 1e5eeff 11,580 BA view · diff
v2.12026-07-26 2f2022d 10,622 BA view · diff
v2.02026-07-26 b085e11 10,622 BA view · diff
v2.02026-07-24 b295e73 10,626 BA view · diff
git:20260721.831d49e2026-07-21 831d49e 12,633 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 (12418 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

k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_slt4u46avsudnfbu
GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/scholar-evaluation
GET https://markdownregistry.com/api/v1/blob/9abc66a9ba13f6cf0f61614ddfff17822b5be2cc7118f52ef2631323dac8c94e

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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Every file in k-dense-ai/scientific-agent-skills

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