quality-report SKILL.md skillA

quality-report from indranilbanerjee/digital-marketing-pro is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add indranilbanerjee/digital-marketing-pro/quality-report@git:20261027.4090e1e

Pins 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/quality-report/SKILL.md
Versions recorded
7
Latest version
git:20261027.4090e1e, committed Oct 27, 2026
First version recorded
Feb 13, 2026
Size
9,484 bytes
Repository stars
936
License
MIT

Report content quality trends from logged evals, with regression alerts. "is our content quality improving".

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:quality-report

## Purpose

Quality intelligence reporting over time. Shows eval score trends across days and weeks, identifies which content types are improving or declining, detects regression alerts where quality has dropped below established baselines, surfaces the brand's best and worst performing content, and provides actionable recommendations for improving content quality across the organization.

This command turns the evaluation data logged by /digital-marketing-pro:eval-content into strategic insight. Instead of evaluating a single piece of content, it analyzes the pattern across all evaluations to answer: Is our content quality improving or declining? Which content types are strongest? Which dimensions need the most work? Are there regressions we need to address? What specific changes will have the biggest impact on overall quality?

## 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/digital-marketing-pro/quality-report@sha256:6211e8e9e09e3e65

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ewvf7od3n7jy7fce.svg)](https://markdownregistry.com/a/art_ewvf7od3n7jy7fce)

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

Versions

The registry has recorded 7 versions of this file, between Feb 13, 2026 and Oct 27, 2026, about one every 43 days.

versioncommittedcommitsizeaudit
git:20261027.4090e1e latest2026-10-27 4090e1e 9,484 BA view · diff
git:20261009.e2988eb2026-10-09 e2988eb 9,489 BA view · diff
git:20260812.b6240422026-08-12 b624042 10,128 BA view · diff
git:20260508.d4086892026-05-08 d408689 9,502 BA view · diff
git:20260330.6a584192026-03-30 6a58419 9,445 BA view · diff
git:20260224.b1de39f2026-02-24 b1de39f 9,488 BA view · diff
git:20260213.39e8af12026-02-13 39e8af1 9,590 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 (9484 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/digital-marketing-pro · 936 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ewvf7od3n7jy7fce
GET https://markdownregistry.com/api/v1/resolve?ref=indranilbanerjee/digital-marketing-pro/quality-report
GET https://markdownregistry.com/api/v1/blob/6211e8e9e09e3e65c444b508a1932e7f62d6faea8da7d6e634241cf6cb4c54b3

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 indranilbanerjee/digital-marketing-pro

Other files named quality-report

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