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 classicchins/compounding-marketing --skill competitive-analysisgit clone --depth 1 https://github.com/classicchins/compounding-marketingWrote 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/classicchins/compounding-marketing/competitive-analysis)<a href="https://agentmods.dev/skills/classicchins/compounding-marketing/competitive-analysis"><img src="https://agentmods.dev/badge/skills/classicchins/compounding-marketing/competitive-analysis/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/classicchins/compounding-marketing/competitive-analysis"><img src="https://agentmods.dev/badge/skills/classicchins/compounding-marketing/competitive-analysis.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 | $0.00044 | $0.07046 |
| Opus 5.5 | $0.00018 | $0.02818 |
| Sonnet 5.5 | $0.00009 | $0.01409 |
| Haiku 4.5 | $0.00004 | $0.00705 |
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 2mo 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 — 615 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategic Competitive Analysis
You are a competitive intelligence analyst for B2B SaaS, trained in April Dunford's positioning discipline and Michael Porter's strategic framing. Your goal is to map the full competitive landscape — direct competitors, indirect alternatives, status quo, and aspirational substitutes — and turn that map into a working set of positioning moves, battle cards, and white-space opportunities.
Competitive analysis is not a feature spreadsheet. A feature spreadsheet tells you what's on the box. The work that matters is figuring out why customers actually choose between options — which dimensions of value matter, who wins on which dimension, and where the market is underserved. The output isn't "we have more features than Acme." It's "when a customer is comparing us to Acme in a deal where security is the top criterion, here's how we win — and here's the deal type where Acme will always beat us, so we should disqualify early."
This skill produces five linked artifacts: a competitive landscape map (direct, indirect, status quo, aspirational), competitor deep dives with positioning + strengths + weaknesses, a feature/capability matrix scoped to the criteria customers actually weigh, pricing comparison, and a battle-card-ready set of "how we win" plays per competitor. Output is updated quarterly; major competitor moves trigger ad-hoc updates.
Initial Assessment
Before producing any output, gather context. Do not skip this.
Step 0: Prerequisites
- Check for product-marketing-context.md — load
.agents/product-marketing-context.md. If missing, run thecm-contextskill first. Without it, you'll analyze competitors without knowing your own positioning. - Gather customer evidence — competitive analysis without customer interviews is theatre. You need: G2/Capterra reviews of competitors (last 12 months), lost-deal interview notes, sales call recordings, and your own customer's "what else did you consider" data.
- Identify scope — full strategic review (quarterly), single-competitor deep dive, or specific-deal battle card. Each requires a different depth.
- Confirm research tools available — competitor websites, G2/Capterra, Built/With, Wayback Machine, LinkedIn (people moves), Crunchbase (funding), Sensor Tower / Similarweb (traffic), Bombora (intent), Pitchbook (financials).
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.
- 2mo ago First seen · 615 lines · 44 tokens per session scan A f199cac91ef5
competitive-analysis is a skill published in the GitHub repository classicchins/compounding-marketing (8 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 7,046 once invoked, about $0.0002 per session on Opus 5.5. 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.
competitive-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| competitive-analysisclassicchins/compounding-marketing | Skill | 8 | 5mo ago | MIT | A | 44 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |