competitor-radar SKILL.md skillA

competitor-radar from naveedharri/benai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add naveedharri/benai-skills/competitor-radar@git:20260720.898cddf

Pins git:20260720.898cddf in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
naveedharri/benai-skills
Path
plugins/benai-marketing/skills/competitor-radar/SKILL.md
Versions recorded
1
Latest version
git:20260720.898cddf, committed Jul 20, 2026
Size
3,042 bytes
Repository stars
78
License
MIT

Build and weekly-refresh a branded HTML "Competitor Radar" dashboard that tracks a roster of competitors across YouTube, Instagram, LinkedIn, TikTok, community, and SEO. Use when the user wants to track competitors, monitor competitor socials/engagement/subscribers, build a competitor dashboard, or refresh the weekly competitor report. Gathers real data via connectors (YouTube, Apify, Firecrawl), renders a two-tab (Demo/Actual) dashboard in Ben AI branding, deploys it to a stable Vercel URL…

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

# Competitor Radar

Tracks a fixed roster of competitors weekly and renders one branded HTML dashboard: follower counts, posting cadence, median engagement, week-over-week subscriber growth, standout post of the week, and SEO, per platform. Two tabs: **Demo** (a sample niche) and **Actual** (real competitors, with a focus/blur toggle so only "you" shows on camera).

## Files

- `config.json`: the stable roster (who to track, handles per platform, platforms to include, Apify actor ids). Edit to add/remove competitors.
- `radar_data.js`: the weekly artifact. `WEEK_ENDING`, `AV` (base64 avatars, stable), and `DATA` ({demo, actual}). The refresh step rewrites this.
- `assets/template.html`: the fixed dashboard shell (CSS, render logic, tabs, focus mode). Never regenerate; carries a single `/*__RADAR_DATA__*/` marker.
- `scripts/build_dashboard.py`: deterministic build (template + radar_data.js to `index.html`). No network.

## Weekly refresh workflow

1. **Read** `config.json` (roster) and the current `radar_data.js` (last week's numbers, needed for week-over-week deltas).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add naveedharri/benai-skills/competitor-radar@sha256:18ae9330337de1b9

The line at the top of this page pins the label git:20260720.898cddf, 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_x3ljbm2mrschepyb.svg)](https://markdownregistry.com/a/art_x3ljbm2mrschepyb)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 20, 2026.

versioncommittedcommitsizeaudit
git:20260720.898cddf latest2026-07-20 898cddf 3,042 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 (3042 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

naveedharri/benai-skills · 78 stars · license MIT · pushed 2026-10-09 · branch develop

API

GET https://markdownregistry.com/api/v1/artifacts/art_x3ljbm2mrschepyb
GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/competitor-radar
GET https://markdownregistry.com/api/v1/blob/18ae9330337de1b907b480ee3094842412ffdf82ffe99bf53aa9e139517ad243

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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