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 agentmods add skills/felipecabargas/gambit/competitive-analysisnpx skills add felipecabargas/gambit --skill competitive-analysisgit clone --depth 1 https://github.com/felipecabargas/gambitWrote 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/felipecabargas/gambit/competitive-analysis)<a href="https://agentmods.dev/skills/felipecabargas/gambit/competitive-analysis"><img src="https://agentmods.dev/badge/skills/felipecabargas/gambit/competitive-analysis.svg" alt="Measured on agentmods" 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 | $0.00100 | $0.03018 |
| Opus 5 | $0.00050 | $0.01509 |
| Sonnet 5 | $0.00020 | $0.00604 |
| Haiku 4.5 | $0.00010 | $0.00302 |
Grade A, and why
competitive-analysis 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 4d 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 — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Analysis
When to Use
Use this skill when you need a structured view of the competitive landscape. It adds the most value when:
- Entering a new market — understand who is already there, how they are positioned, and where the gaps are before committing investment
- Refreshing strategy — competitive landscapes shift; use this skill at the start of each planning cycle to ensure strategy reflects the current market, not last year's assumptions
- Validating differentiation — before writing a product strategy or feature request, confirm that your proposed differentiators are not already claimed or commoditised by competitors
- Preparing for a board or investor review — investors will probe competitive positioning; a structured analysis gives you credible, evidence-backed answers
- Evaluating a potential acquisition or partnership — understand a player's capability profile, market segment, and weaknesses before a strategic conversation
- After a competitor launches something significant — assess the impact on your positioning and identify where you need to respond
Input Format
Provide the following to get the most complete analysis. You can paste content directly into the chat or describe it verbally.
Competitor names and URLs:
Competitors: Notion, Coda, Confluence
Your product: Acme Docs — a structured documentation tool for software teams
Target users: Engineering leads at companies with 50–500 engineers
Your product context (who you serve and what you do):
Acme Docs helps engineering leads at scaling companies document architecture decisions,
runbooks, and on-call procedures. Unlike general wikis, every page has a structured
template and a required owner. We charge per workspace, not per seat.
Optional — evaluation dimensions you care about:
Focus areas: pricing model, API/integration depth, permissions model, mobile experience
If no dimensions are specified, the skill defaults to the five standard dimensions (see Step 1).
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.
- 4d ago First seen · 278 lines · 100 tokens per session scan A 5cc3ef97cebc
competitive-analysis is a skill published in the GitHub repository felipecabargas/gambit (2 stars, last pushed 3mo ago), licensed MIT. It adds 100 tokens to every session and 3,018 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.
Other skills, from other repositories
antigravity
Run the Antigravity CLI (Gemini) as a collaborating AI inside Claude Code, with intelligent model routing across the software development lifecycle. Claude is the conductor/orchestrator — requirements, architecture, the hard 20%, verification, and review — and routes deterministic, high-volume work (scaffolding…
migrate-to-antigravity
Move an existing Claude Code setup onto the Antigravity CLI (agy) — user skills, CLAUDE.md, auto-memory, MCP servers, installed plugins, permissions and trusted workspaces. Use when the user says "migrate to Antigravity", "move my Claude Code config to agy", "bring my skills/memory/MCP over", "set up agy like my…
gemini
Cross-model second opinion from Google Gemini — a different AI reviewing the same changes, with deep Google ecosystem knowledge. Three modes: review (pass/fail gate for Google Ads campaigns, SEO metadata, or code), challenge (adversarial stress-test that tries to break your changes), and consult (open Q&A with Gemini…
meta-tags-optimizer
Optimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum click-through rate. Generates multiple A/B test variations with character counting and SERP preview. Use when asked to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "fix my meta tags", "social media…
schema-markup-generator
Generate JSON-LD structured data markup for rich results in Google Search. Supports FAQ, HowTo, Article, Product, LocalBusiness, and multi-type schemas. Validates against Google requirements and provides implementation guidance. Use when asked to "add schema markup", "generate structured data", "JSON-LD", "rich…
content-planner
GSC-driven content calendar. Pulls real Search Console data, finds the highest click-potential opportunities (striking-distance queries at positions 5-20, unanswered query intent, related-keyword expansions), and produces a dated, prioritized content calendar — ready to hand to /content-writer. Use when the user asks…