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 growthack88/growth-marketing-os --skill battlecardsgit clone --depth 1 https://github.com/growthack88/growth-marketing-osWrote 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/growthack88/growth-marketing-os/battlecards)<a href="https://agentmods.dev/skills/growthack88/growth-marketing-os/battlecards"><img src="https://agentmods.dev/badge/skills/growthack88/growth-marketing-os/battlecards/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/growthack88/growth-marketing-os/battlecards"><img src="https://agentmods.dev/badge/skills/growthack88/growth-marketing-os/battlecards.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 | $0.00114 | $0.02137 |
| Opus 5 | $0.00057 | $0.01069 |
| Sonnet 5 | $0.00023 | $0.00427 |
| Haiku 4.5 | $0.00011 | $0.00214 |
Grade A, and why
battlecards 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 13d 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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Battlecards
Quick-reference competitive intelligence battlecards for live sales conversations. Designed to be scanned in 30 seconds during a call. Supports batch generation for multiple competitors with confidence-level sourcing on every claim.
The body of this file holds decision-grade context (when to invoke, inputs, structure, anti-hallucination guardrails, gotchas). Step-by-step process, output template, quality gates, and feedback loops live in references/.
Claude Code triggers
Invoke this skill when user says:
- "Create battlecard for [competitor]"
- "Competitive battlecard"
- "How to win against [competitor]"
- "Competitive intel for sales"
- "Battlecards for [product]"
- "Sales battlecard"
- "Counter-positioning against [competitor]"
- "Competitive one-pager" (if focus is on win/lose scenarios)
Do NOT invoke when:
- User wants deep competitor research → Use
/competitor-researchskill - User wants sales deck → Use
/sales-deckskill - User wants demo script → Use
/demo-scriptskill - User wants competitive feature comparison only → Use
/competitor-researchskill
Input requirements
Required inputs
| Input | Description | Source |
|---|---|---|
| Competitor name(s) | Which competitor(s) to create battlecards for | User specifies |
| Your product context | What you sell, key capabilities | User, product-messaging, or URL |
Optional inputs (improve quality)
| Input | How it helps |
|---|---|
| competitor-research output | Pre-researched intel (funding, features, positioning) |
| win-loss-analysis output | When we win/lose patterns with evidence |
| Product messaging | Counter-positioning based on your value props |
| Positioning context | Strategic anchors for competitive framing |
| Competitor URLs | For live research if no prior research exists |
| Sales call transcripts | Real objections and competitive mentions |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 225 lines · 114 tokens per session scan A bd03d83f7a34
battlecards is a skill published in the GitHub repository growthack88/growth-marketing-os (97 stars, last pushed 2mo ago), licensed MIT. It adds 114 tokens to every session and 2,137 once invoked, about $0.0006 per session on Opus 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 2026-08-30.
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