battle-scanner skillA
battle-scanner is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: Competitive intelligence engine that deconstructs competitor positioning, surfaces exploitable weaknesses, and predicts competitive responses. Use when: competitive analysis, competitor research, competitive landscape, competitive intelligence, who are our competitors, how do we compete against..
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
# Battle Scanner (ARMOR Analysis) Deconstruct competitor strategy, surface exploitable weaknesses, predict their responses to your moves, and generate win/loss playbooks. ## When to Use - Pre-launch competitive assessment - Competitive deal strategy - Quarterly competitive landscape refresh - New competitor entering the market - Win rate declining against specific competitor ## What You'll Need **Critical inputs (ask if not provided):** - Your product/company name and category - Top 3-5 known competitors **Nice-to-have:** - Signal Radar output (competitive threat signals) - Win/loss data from CRM - Customer feedback mentioning competitors ## Process ### Step 1: 4-Ring Competitor Classification Map every competitor into concentric rings: | Ring | Type | Threat Level | Examples | |------|------|-------------|----------| | Ring 1 | **Direct** -- same problem, same approach | Highest | Head-to-head feature competitors | | Ring 2 | **Indirect** -- same problem, different approach | High | Alternative solution categories | | Ring 3 | **Adjacent** -- different problem, could pivot | Medium | Companies with overlapping capabilities | …
Read the whole file at its exact version.
How to install
mdr add varunk130/ai-gtm-skill-library/battle-scanner@git:20260516.4225f52mdr add varunk130/ai-gtm-skill-library/battle-scanner@sha256:643db812f8c1c386Pin 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_b4bduqvx3fothqx2)
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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 (4218 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
varunk130/ai-gtm-skill-library · 6 stars · license MIT · pushed 2026-09-19 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_b4bduqvx3fothqx2 GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/battle-scanner GET https://markdownregistry.com/api/v1/blob/643db812f8c1c3863a3b066a2bf24ca6649645e7319de56987882543c4339a1b
Your agent 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.