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 matteotitta/genesys-skills --skill battlecardsgit clone --depth 1 https://github.com/matteotitta/genesys-skillsWrote 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/matteotitta/genesys-skills/battlecards)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/battlecards"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/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/matteotitta/genesys-skills/battlecards"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/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 | $0.00024 | $0.02280 |
| Opus 5 | $0.00012 | $0.01140 |
| Sonnet 5 | $0.00005 | $0.00456 |
| Haiku 4.5 | $0.00002 | $0.00228 |
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 9d 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 — 226 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 the premium reference.
Doctrine inherited (Step 7 — 0626 rollout)
Output complies with:
output-tenets.md— the seven tenetsoutput-simplicity.md— length caps, three-layer source placement, robot-tells bandoc-output-structure.md— GDoc/Notion structural defaults- Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]]
Refinements applied to this skill:
| Code | Refinement | How it lands in battlecards |
|---|---|---|
| R1 | Source placement (three layers) | Battlecards are internal-reference (rep-facing). Inline [VERIFIED:...] tags stay — auditability matters more than polish for sales QA. Working markdown keeps citations inline. Published Notion playbook can move them to a per-card toggle if reps prefer the cleaner read. |
| R2 | Single-doc-with-toggles | Multi-competitor battlecard packs ship as one doc with one toggle per competitor — not 8 separate files. Reps scan the index, expand the competitor that came up on the call. |
| R3 | Product-update tone | Capability framing in win themes — "we ship X" not "we are thrilled to announce." Reps repeat what they see. |
| R9 | Action-oriented section names | "Win themes / Landmines to plant / Objection handlers / Counter-positioning" — already verb-led. Preserve. |
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)
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.
- 9d ago First seen · 226 lines · 114 tokens per session scan A 4164446b59d7
battlecards is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 2,280 once invoked, about $0.0001 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 2026-09-03.
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