brand-answer-monitor SKILL.md skillA

brand-answer-monitor from kesslernity/awesome-copilot-cowork-bots is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add kesslernity/awesome-copilot-cowork-bots/brand-answer-monitor@git:20261104.da4984f

Pins git:20261104.da4984f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
kesslernity/awesome-copilot-cowork-bots
Path
packs/comms/brand-answer-monitor/skill/SKILL.md
Versions recorded
2
Latest version
git:20261104.da4984f, committed Nov 4, 2026
First version recorded
Nov 4, 2026
Size
3,675 bytes
Repository stars
9
License
MIT

Tracks how the open web describes the brand on the questions that matter, and builds a weekly trend sheet of what a research tool finds when it looks the brand up. Use when the user asks how the brand is being described, what sources say about the company, to track brand visibility, or to see whether published positioning is being picked up.

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

# Brand Answer Monitor

Tracks what a researcher finds when they look you up, week over week.

🔴 **Read this before using it.** The original idea was to track the brand's position inside
ChatGPT, Gemini and Perplexity answers. **This skill does not do that, and cannot.** Those are
competitor products behind their own interfaces, not open-web sources, and nothing in Cowork's
documentation establishes that Deep Research can query them. Shipping an "AEO tracker" on that
assumption would be inventing a capability.

What this does instead is honest and still useful: it records **what Deep Research surfaces about
the brand on a fixed set of questions**, week over week, so movement in sources and framing is
visible. Treat it as a proxy for what a research tool sees, not as a measurement of any specific
assistant's answer. If you later confirm a way to query those assistants, this skill's trend sheet
is the right shape to carry it.

## Inputs
- **Deep Research**, over the fixed question set in config
- `references/config.md` for the brand, the questions and the competitor set
- The prior weeks' sheet, for the trend

## Procedure
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add kesslernity/awesome-copilot-cowork-bots/brand-answer-monitor@sha256:5e055078923a2463

The line at the top of this page pins the label git:20261104.da4984f, 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_uhzvypjt3ml7qflg.svg)](https://markdownregistry.com/a/art_uhzvypjt3ml7qflg)

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

Versions

The registry has recorded 2 versions of this file, all committed on Nov 4, 2026.

versioncommittedcommitsizeaudit
git:20261104.da4984f latest2026-11-04 da4984f 3,675 BA view · diff
git:20261104.48608132026-11-04 4860813 3,532 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 (3675 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

kesslernity/awesome-copilot-cowork-bots · 9 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_uhzvypjt3ml7qflg
GET https://markdownregistry.com/api/v1/resolve?ref=kesslernity/awesome-copilot-cowork-bots/brand-answer-monitor
GET https://markdownregistry.com/api/v1/blob/5e055078923a2463d84db6a7d877abc04e4e9dfebf3e23978e3d94c168e65fdb

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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