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eval-suite SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

eval-suite from indranilbanerjee/neels-plugins is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add indranilbanerjee/neels-plugins/eval-suite@git:20261011.1a0c374

Pins git:20261011.1a0c374 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: indranilbanerjee/neels-plugins
Path: hermes/digital-marketing-pro/strategy/skills/eval-suite/SKILL.md
Versions recorded: 2
Latest version: git:20261011.1a0c374, committed Oct 11, 2026
First version recorded: Oct 11, 2026
Size: 8,875 bytes
Repository stars: 6
License: MIT

Evaluate a batch of content in one run: ranked quality report, systemic issues. "score our whole content library".

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

# /digital-marketing-pro:eval-suite

> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).

## Purpose

Batch evaluation across multiple content pieces to produce a portfolio-level quality assessment. Evaluate an entire content library, all assets in a campaign, or a set of deliverables in one run. Instead of evaluating content one piece at a time, this command processes everything together and delivers a holistic view of content quality.

The output includes content rankings, per-dimension analysis, overall quality distribution, common issues across the set, and a prioritized revision list. This is the command to use before a campaign launch (to catch weak assets before they go live), during a content audit (to assess library health), or after a production sprint (to quality-check all deliverables at once). Every evaluation is logged to the quality tracker for longitudinal trend analysis.

## Input Required

The user must provide (or will be prompted for):
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add indranilbanerjee/neels-plugins/eval-suite@sha256:38fd19521569e474

The line at the top of this page pins the label git:20261011.1a0c374, 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](https://markdownregistry.com/badge/art_gvgqv57gltjtlyij.svg)](https://markdownregistry.com/a/art_gvgqv57gltjtlyij)

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

Versions

The registry has recorded 2 versions of this file, all committed on Oct 11, 2026.

version	committed	commit	size	audit
git:20261011.1a0c374 latest	2026-10-11	1a0c374	8,875 B	A	view · diff
git:20261011.82fab54	2026-10-11	82fab54	8,759 B	A	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 (8875 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

indranilbanerjee/neels-plugins · 6 stars · license MIT · pushed 2026-10-17 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_gvgqv57gltjtlyij
GET https://markdownregistry.com/api/v1/resolve?ref=indranilbanerjee/neels-plugins/eval-suite
GET https://markdownregistry.com/api/v1/blob/38fd19521569e474caf5b503e3e229b338ad53e799ac6ee71591ba82c8a3f47b

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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