Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add varunk130/ai-gtm-skill-library --skill competitive-battlecardgit clone --depth 1 https://github.com/varunk130/ai-gtm-skill-libraryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/varunk130/ai-gtm-skill-library/competitive-battlecard)<a href="https://agentmods.dev/skills/varunk130/ai-gtm-skill-library/competitive-battlecard"><img src="https://agentmods.dev/badge/skills/varunk130/ai-gtm-skill-library/competitive-battlecard/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/varunk130/ai-gtm-skill-library/competitive-battlecard"><img src="https://agentmods.dev/badge/skills/varunk130/ai-gtm-skill-library/competitive-battlecard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00080 | $0.01960 |
| Opus 5.5 | $0.00032 | $0.00784 |
| Sonnet 5.5 | $0.00016 | $0.00392 |
| Haiku 4.5 | $0.00008 | $0.00196 |
Grade A, and why
competitive-battlecard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Battlecard
Generate a deal-specific competitive battlecard in minutes when a competitor surfaces in an active opportunity. Sales reps get a focused, defensible playbook - not a 30-page positioning deck - that maps directly to the deal context (industry, company size, current stack) so they can respond confidently in the next call.
This skill assumes you already have a working understanding of the competitor (or have run win-loss-analysis / competitive-positioning). It is the delivery layer - turning prior intelligence into something a rep can act on between meetings. No external sources are queried; the skill produces the battlecard from the inputs you provide.
Core Principle
A battlecard is a constraint, not just a cheat sheet. Its job is to keep reps on the messages that win and off the messages that lose - especially the ones that feel compelling in the moment but historically tank deals. Half the value is the "do not say" list.
What You'll Get
| Section | Description |
|---|---|
| Positioning Matrix | Side-by-side comparison on the 4-6 dimensions the buyer actually weighs |
| Top 3 Objections + Responses | The objections this competitor's reps are trained to plant, with battle-tested responses |
| Trap Questions | 3-5 questions the rep can ask the buyer that are easy for us to answer and hard for them - surfaces our strengths without naming the competitor |
| Proof Points | Customer outcomes, case study one-liners, and metrics, mapped to the deal's industry/size when possible |
| "Do Not Say" List | The 3-5 talking points that feel right but lose deals - with the reason each one backfires |
| Discovery Re-Open | Suggested questions to re-open discovery if the rep has been pulled into a feature comparison too early |
| Next-Step Recommendation | The specific next action that historically advances deals against this competitor (POC structure, exec alignment, security-led demo, etc.) |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 134 lines · 80 tokens per session scan A 54d4fceaa906
competitive-battlecard is a skill published in the GitHub repository varunk130/ai-gtm-skill-library (7 stars, last pushed 10d ago), licensed MIT. It adds 80 tokens to every session and 1,960 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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