Borrowing it
Nothing to install: this file belongs to Othmane-Khadri/gtm-engineer-playbook. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Othmane-Khadri/gtm-engineer-playbook/main/.claude/skills/gtm-playbook/competitive-battlecard-generator/SKILL.mdgit clone --depth 1 https://github.com/Othmane-Khadri/gtm-engineer-playbookWrote 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/othmane-khadri/gtm-engineer-playbook/competitive-battlecard-generator)<a href="https://agentmods.dev/skills/othmane-khadri/gtm-engineer-playbook/competitive-battlecard-generator"><img src="https://agentmods.dev/badge/skills/othmane-khadri/gtm-engineer-playbook/competitive-battlecard-generator/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/othmane-khadri/gtm-engineer-playbook/competitive-battlecard-generator"><img src="https://agentmods.dev/badge/skills/othmane-khadri/gtm-engineer-playbook/competitive-battlecard-generator.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 | $0.00078 | $0.04040 |
| Opus 5 | $0.00039 | $0.02020 |
| Sonnet 5 | $0.00016 | $0.00808 |
| Haiku 4.5 | $0.00008 | $0.00404 |
Grade A, and why
competitive-battlecard-generator 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 — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Battlecard Generator
Generate comprehensive, actionable competitive battlecards using WebSearch. Each battlecard gives sales teams the intelligence they need to win competitive deals — competitor strengths, weaknesses, objection handling, and trap questions, all grounded in real research. Can batch-process up to 5 competitors in a single run.
Activation
When the user triggers this skill, follow the steps below in order. Do NOT skip the input step. Do NOT produce a battlecard without gathering context first.
Step 1 — Collect Input
Ask the user for these inputs all at once in a numbered list:
I need some context before building your battlecard(s). Answer these questions:
1. What is your company name and what do you do? (one sentence)
2. Which competitor(s) do you want a battlecard for? (1-5 names)
3. (Optional) What are your key differentiators? (3-5 bullets)
4. (Optional) Any known weaknesses of the competitor(s)?
5. (Optional) Are you usually compared to them? In what context?
Rules for this step:
- Wait for the user to respond before proceeding. Do NOT generate placeholder answers.
- Only question 1 and 2 are required. If either is missing, ask again.
- If the user provides more than 5 competitors, tell them you will batch the first 5 and they can run the skill again for the rest.
- If the user provides optional inputs, use them to sharpen the analysis. If they skip optionals, proceed without them — you will research independently.
Step 2 — Competitor Overview
For each competitor, run 2-3 WebSearch queries to establish a factual baseline.
Search patterns:
"{competitor} what does it do"or"{competitor} company overview""{competitor} funding crunchbase"or"{competitor} series funding investors""{competitor} customers case studies"or"{competitor} pricing"
Gather these data points:
| Field | Description |
|---|---|
| What they do | Their positioning statement — how they describe themselves (from their homepage or about page) |
| Founded | Year founded |
| HQ | Headquarters location |
| Company size | Employee count range |
| Funding | Total raised, last round, key investors (for private companies) |
| Key customers | Named logos from case studies, website, or press releases (3-8 names) |
| Target market | Who they sell to — company size, industry, buyer persona |
| Pricing model | Pricing tiers, per-seat, usage-based, etc. If not publicly available, write "Pricing not publicly available — ask during discovery" |
| Recent news | 1-3 headlines from the last 90 days with source URLs |
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 · 401 lines · 78 tokens per session scan A 66000fbfe942
competitive-battlecard-generator is a skill published in the GitHub repository Othmane-Khadri/gtm-engineer-playbook (56 stars, last pushed 5mo ago), licensed MIT. It adds 78 tokens to every session and 4,040 once invoked, about $0.0004 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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