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 seb1n/awesome-ai-agent-skills --skill competitive-battlecard-creationgit clone --depth 1 https://github.com/seb1n/awesome-ai-agent-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/seb1n/awesome-ai-agent-skills/competitive-battlecard-creation)<a href="https://agentmods.dev/skills/seb1n/awesome-ai-agent-skills/competitive-battlecard-creation"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/competitive-battlecard-creation/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/seb1n/awesome-ai-agent-skills/competitive-battlecard-creation"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/competitive-battlecard-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.02097 |
| Opus 5 | $0.00023 | $0.01048 |
| Sonnet 5 | $0.00009 | $0.00419 |
| Haiku 4.5 | $0.00005 | $0.00210 |
Grade A, and why
competitive-battlecard-creation 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Battlecard Creation
Build structured sales battlecards that arm reps with everything they need to win against specific competitors. This skill researches competitor products, maps feature-level comparisons, drafts objection handling scripts, creates positioning statements and win themes, and packages the output into a quick-reference format reps can pull up mid-call.
Workflow
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Research the Competitor — Gather current intelligence on the competitor: product capabilities, pricing model, recent product launches, G2/Gartner reviews, customer complaints, leadership changes, and public roadmap signals. Pull from their website, changelog, job postings (which reveal investment areas), and customer review sites.
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Identify Strengths and Weaknesses — Map the competitor's genuine strengths (don't ignore them — reps need to acknowledge what the competitor does well) and exploitable weaknesses. Categorize weaknesses as product gaps, architectural limitations, pricing disadvantages, support deficiencies, or market positioning misalignment.
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Map Feature Comparison — Build a side-by-side feature comparison across the dimensions that matter most to your buyers. Use objective, verifiable claims. Mark each feature as strong advantage, slight advantage, parity, or disadvantage. This table becomes the centerpiece of the battlecard.
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Draft Objection Handlers — Write talk tracks for the 5–8 most common objections reps hear when competing against this vendor. Each handler follows a structure: acknowledge the objection, reframe the conversation, deliver your counter-point with proof, and bridge to your differentiator.
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Create Win Themes and Talk Tracks — Develop 3–4 high-level win themes (e.g., "Total cost of ownership," "Time to value," "Scale without complexity") with supporting talk tracks that connect your strengths to the prospect's priorities. Include landmine questions reps can plant early in the deal to steer evaluation criteria in your favor.
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 · 141 lines · 47 tokens per session scan A cc9f35e087fa
competitive-battlecard-creation is a skill published in the GitHub repository seb1n/awesome-ai-agent-skills (179 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 2,097 once invoked, about $0.0002 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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