competitor-radar skillA
competitor-radar is agent-read markdown (skill) from naveedharri/benai-skills: 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 via .
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns 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
mdr add naveedharri/benai-skills/competitor-radar@git:20260720.898cddfmdr add naveedharri/benai-skills/competitor-radar@sha256:18ae9330337de1b9Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_x3ljbm2mrschepyb)
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Versions
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 (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
naveedharri/benai-skills · 65 stars · license MIT · pushed 2026-09-16 · 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
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