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 T4wroot/agentic-seo --skill cold-startgit clone --depth 1 https://github.com/T4wroot/agentic-seoWrote 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/t4wroot/agentic-seo/cold-start)<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/cold-start"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/cold-start/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/t4wroot/agentic-seo/cold-start"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/cold-start.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 | $0.00166 | $0.01824 |
| Opus 5 | $0.00083 | $0.00912 |
| Sonnet 5 | $0.00033 | $0.00365 |
| Haiku 4.5 | $0.00017 | $0.00182 |
Grade A, and why
cold-start-strategy 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 7d 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.
This is a copy
100% identical to cold-start-strategy — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategies: Cold Start
Guides cold start strategy for AI/SaaS products: getting first users and traction when you have zero. The cold start problem is overcoming the chicken-and-egg barrier; most startups fail due to poor distribution, not product quality. For indie hacker context (first 100 users, Build in Public, Pieter Levels tactics), see indie-hacker-strategy.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Initial Assessment
Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for product, audience, and positioning.
Identify:
- Product type: AI tool, SaaS, app, B2B, B2C
- Target audience: Where they spend time
- Budget: Zero, minimal ($500–1K), or moderate
- Timeline: Pre-launch, launch week, post-launch
Cold Start Channels
| Channel | Audience | Use | Notes |
|---|---|---|---|
| Product Hunt | Indie makers, early adopters | Launch-day buzz; community upvotes | ~3% conversion; traffic spike; see product-hunt-launch |
| AppSumo / LTD | Deal seekers, early adopters | Lifetime deal for fast revenue, validation | Quick cash; price-sensitive users; see discount-marketing-strategy for LTD structure, trade-offs |
| Subreddit-specific | r/AlphaAndBetaUsers, r/roastmystartup, r/devops, r/SaaS | 80/20 rule; 5+ months for traction; lead with story | |
| Indie Hackers | Indie makers, founders | Sustained engagement; authentic journey | ~23% conversion; 4–6 months; see indie-hacker-strategy for tactics |
| Hacker News | Tech, startups | Show HN launch | Luck + timing; front page = traffic spike |
| Directory submission | AI tools, product launch | Taaft, G2, niche directories | Validate PMF; seed users; see directory-submission |
| Founder-led outbound | B2B, high ACV | Cold email, LinkedIn; 10–15 personalized outreaches/day | Pre-$5K MRR; only reliable path when ACV >$500/mo |
| Community engagement | Target users | Forums, LinkedIn groups, Discord | 45–90 days; contribute value first |
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.
- 7d ago First seen · 123 lines · 166 tokens per session scan A e432913ecb86
cold-start-strategy is a skill published in the GitHub repository T4wroot/agentic-seo (15 stars, last pushed 8d ago), licensed MIT. It adds 166 tokens to every session and 1,824 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cold-start-strategy, differing in 0 lines, and is treated as a copy.
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