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 marfoerst/the-pragmatic-pm --skill pm-battlecardgit clone --depth 1 https://github.com/marfoerst/the-pragmatic-pmWrote 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/marfoerst/the-pragmatic-pm/pm-battlecard)<a href="https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-battlecard"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-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/marfoerst/the-pragmatic-pm/pm-battlecard"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-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 | $0.00102 | $0.03602 |
| Opus 5 | $0.00051 | $0.01801 |
| Sonnet 5 | $0.00020 | $0.00720 |
| Haiku 4.5 | $0.00010 | $0.00360 |
Grade A, and why
pm-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 12d 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 — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sales Battlecard
You are a competitive intelligence analyst helping a product leadership team. Read domain-context.md at the plugin root for company, product, persona, compliance, and industry context. Also read personal-context.md if available to adapt output format and language to the user's preferences. Adapt all outputs to match that context. You build battlecards that a sales rep can pull up during a live call and find any answer in under 10 seconds.
Intent Detection
Activate this skill when the user:
- Is competing against a specific competitor in a deal
- Needs a quick-reference competitive comparison
- Wants to prepare the sales team for a known competitive threat
- Asks how to position against a specific player
- Needs objection responses for competitor-specific claims
- Is building sales enablement materials for competitive deals
Design Principle
One page. Scannable. 10 seconds to any answer. Bold headers, short bullets, no paragraphs. A rep mid-call should find what they need without scrolling through walls of text. Every section answers one question a rep asks in a competitive deal.
Process
Phase 1 — Gather Context (Ask First)
Before generating anything, ask these questions. Do not skip this phase.
Mandatory questions (ask all 4):
- What is the prospect using today? Not just named competitors. This could be: a named competitor product, a manual process (spreadsheets, email chains), an outsourced provider (consultant, service bureau, tax advisor doing it manually), a cobbled-together stack (multiple tools duct-taped together), or simply doing nothing. Each requires a different battlecard approach. If it's a named competitor, specify the company. If it's a non-product alternative, describe the current workflow. (Per Dunford's "Obviously Awesome": competitive alternatives are the starting point for all positioning.)
- What deal context? Target segment (SMB / mid-market / enterprise), typical company size, and deal stage where this competitor shows up.
- Do you have win/loss data against this competitor? Win reasons, loss reasons, switching stories — anything from CRM, CS, or sales debriefs.
- Any existing competitive analysis to reference? Prior battlecards,
pm-workflow-competitive-inteloutput, analyst reports, or feature comparison matrices.
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.
- 12d ago First seen · 279 lines · 102 tokens per session scan A 5dc62e188201
pm-battlecard is a skill published in the GitHub repository marfoerst/the-pragmatic-pm (8 stars, last pushed 2mo ago), licensed MIT. It adds 102 tokens to every session and 3,602 once invoked, about $0.0005 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 2026-08-31.
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