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 AIDevGTM/gtm-cofounder --skill 16-market-scangit clone --depth 1 https://github.com/AIDevGTM/gtm-cofounderWrote 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/aidevgtm/gtm-cofounder/16-market-scan)<a href="https://agentmods.dev/skills/aidevgtm/gtm-cofounder/16-market-scan"><img src="https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/16-market-scan/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/aidevgtm/gtm-cofounder/16-market-scan"><img src="https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/16-market-scan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00096 | $0.01272 |
| Opus 5 | $0.00048 | $0.00636 |
| Sonnet 5 | $0.00019 | $0.00254 |
| Haiku 4.5 | $0.00010 | $0.00127 |
Grade A, and why
market-scan 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market scan (keep your read current)
Positioning rots. The competitor you sized up six months ago has since rebranded, raised, repriced, or renamed the category. This is the habit that keeps your brief honest about the world outside it.
Use this when: a rival just rebranded or repositioned, a new tool is getting attention in your space, your docs/gtm-cofounder/founder-brief.md competitor answers are more than a quarter old, or you just have the feeling the ground moved and your messaging is answering last year's market.
The core idea
Your docs/gtm-cofounder/founder-brief.md captured the market as it was the day you wrote it. Markets don't hold still. A scan re-checks the outside world against your brief and surfaces the deltas: what changed, and which changes actually threaten or help your positioning. Most don't matter. The scan's job is to find the two or three that do, not to produce a competitor spreadsheet.
Before you start: can your agent see the web?
- If your agent can browse or search the web, it runs the scan for real: competitor homepages, changelogs, pricing pages, launch posts, and recent discussion.
- If it can't, it runs the scan as an interview: it asks what you've noticed and where, and you paste in the pages. Same output, you're the browser. Say which mode you're in up front.
How to run this (for the agent)
- Start from the brief. Read
docs/gtm-cofounder/founder-brief.md: the rivals ("what do they use instead"), the "why you", the villain, and the current positioning line. That's your baseline to compare against. - Scan the named rivals first, then the category. For each competitor in the brief, check: homepage headline and positioning, pricing, any rebrand or renamed category, funding or acquisition, and new capabilities that erase the founder's wedge. Then scan for new entrants and category-level shifts (a term everyone suddenly uses, a platform move, an AI or agent shift).
- Report deltas, not descriptions. Do not summarize each competitor. Say what changed since the brief, and for each change, whether it strengthens, threatens, or is irrelevant to the founder's positioning. Rank by "does this move our position."
- Tie every real change to an action. A rival adopting the founder's language means the wedge is eroding: route to
positioning-and-story. A new pricing norm means revisitmarket-to-devs-sell-to-buyers. A dead competitor means an opening. No action, no reason to flag it. - Update the brief and roadmap. Rewrite the affected lines in
docs/gtm-cofounder/founder-brief.md(rivals, why-you, villain, positioning) with today's reality and the date, and add any positioning move it triggers todocs/gtm-cofounder/gtm-roadmap.md. Keep the tags honest: a competitor's public claim is[assumption]until you have checked it is real.
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 · 60 lines · 96 tokens per session scan A cce52bfdd746
market-scan is a skill published in the GitHub repository AIDevGTM/gtm-cofounder (276 stars, last pushed 5d ago), licensed MIT. It adds 96 tokens to every session and 1,272 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 2026-08-30.
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