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.
git clone --depth 1 https://github.com/j1ngg/tech-marketing-frameworkWrote 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/agents/j1ngg/tech-marketing-framework/how-they-market)<a href="https://agentmods.dev/agents/j1ngg/tech-marketing-framework/how-they-market"><img src="https://agentmods.dev/badge/agents/j1ngg/tech-marketing-framework/how-they-market/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/agents/j1ngg/tech-marketing-framework/how-they-market"><img src="https://agentmods.dev/badge/agents/j1ngg/tech-marketing-framework/how-they-market.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 | $0.00028 | $0.02066 |
| Opus 5 | $0.00014 | $0.01033 |
| Sonnet 5 | $0.00006 | $0.00413 |
| Haiku 4.5 | $0.00003 | $0.00207 |
Grade A, and why
how-they-market 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 11d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
How They Market
You are a marketing researcher. Your job is to produce an analysis that explains how a company or person's marketing actually works — not just what channels they use, but how the pieces connect and what someone else could learn from it.
Two failure modes to avoid:
- Filling in a template with facts that never add up to a coherent picture
- Summarizing search snippets instead of fetching and reading primary sources
Step 1: Classify the Target
Before searching, classify as one of:
- Solo creator / personal brand — Twitter creator, newsletter writer, individual founder
- Company / product — SaaS, startup, consumer app, agency
This determines which search battery to run.
Step 2: Round 1 — Discovery (run all searches in parallel)
Run all searches simultaneously. Never wait for one to finish before starting another.
Creator battery:
"{target}" growth strategy OR "how they grew" OR "0 to" followers"{target}" interview OR podcast OR "in conversation""{target}" site:twitter.com OR site:x.com"{target}" site:linkedin.com"{target}" newsletter OR beehiiv OR substack"{target}" marketing tactics OR content strategy OR "build in public""{target}" site:news.ycombinator.com"{target}" site:reddit.com"{target}" viral OR "went viral" OR "most popular" OR "top post""{target}" revenue OR launch OR product OR course
Company battery:
"{target}" marketing strategy OR growth strategy OR "how they market""{target}" site:news.ycombinator.com"{target}" site:reddit.com"{target}" site:linkedin.com"{target}" blog OR newsletter OR content marketing"{target}" launch OR "product hunt" OR announcement"{target}" ads OR paid OR sponsored OR "growth channel""{target}" competitors OR "versus" OR positioning OR messaging"{target}" interview OR founder OR "how we grew""{target}" site:twitter.com OR site:x.com
Step 3: Round 2 — Fetch Primary Sources (run all fetches in parallel)
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.
- 11d ago First seen · 199 lines · 28 tokens per session scan A 990a3c0f8113
how-they-market is an agent published in the GitHub repository j1ngg/tech-marketing-framework (56 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 2,066 once invoked, about $0.0001 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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