eval-suite SKILL.md skillA
eval-suite from indranilbanerjee/digital-marketing-pro is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add indranilbanerjee/digital-marketing-pro/eval-suite@git:20261027.4090e1ePins git:20261027.4090e1e in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- indranilbanerjee/digital-marketing-pro
- Path
skills/eval-suite/SKILL.md- Versions recorded
- 9
- Latest version
- git:20261027.4090e1e, committed Oct 27, 2026
- First version recorded
- Feb 24, 2026
- Size
- 8,860 bytes
- Repository stars
- 936
- 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
mdr add indranilbanerjee/digital-marketing-pro/eval-suite@sha256:aa52cf61a39840eaThe line at the top of this page pins the label git:20261027.4090e1e, 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.
[](https://markdownregistry.com/a/art_nuabz3aj3est3cew)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 9 versions of this file, between Feb 24, 2026 and Oct 27, 2026, about one every 31 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261027.4090e1e latest | 2026-10-27 | 4090e1e | 8,860 B | A | view · diff |
| git:20261011.7060934 | 2026-10-11 | 7060934 | 8,875 B | A | view · diff |
| git:20261009.f3eee6a | 2026-10-09 | f3eee6a | 8,759 B | A | view · diff |
| git:20261009.e2988eb | 2026-10-09 | e2988eb | 8,613 B | A | view · diff |
| git:20260812.b624042 | 2026-08-12 | b624042 | 9,137 B | A | view · diff |
| git:20260709.294ff62 | 2026-07-09 | 294ff62 | 8,611 B | A | view · diff |
| git:20260508.d408689 | 2026-05-08 | d408689 | 8,320 B | A | view · diff |
| git:20260330.6a58419 | 2026-03-30 | 6a58419 | 8,282 B | A | view · diff |
| git:20260224.b1de39f | 2026-02-24 | b1de39f | 8,373 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8860 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
indranilbanerjee/digital-marketing-pro · 936 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nuabz3aj3est3cew GET https://markdownregistry.com/api/v1/resolve?ref=indranilbanerjee/digital-marketing-pro/eval-suite GET https://markdownregistry.com/api/v1/blob/aa52cf61a39840eac29915fb294dc43a88208cfb872e9fda443db9d1c6733851
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.
More from indranilbanerjee/digital-marketing-pro
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