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 adaptico/adaptico-os --skill gtm-interviewsgit clone --depth 1 https://github.com/adaptico/adaptico-osWrote 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/adaptico/adaptico-os/gtm-interviews)<a href="https://agentmods.dev/skills/adaptico/adaptico-os/gtm-interviews"><img src="https://agentmods.dev/badge/skills/adaptico/adaptico-os/gtm-interviews.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 5.1 | $0.00182 | $0.04884 |
| Opus 5 | $0.00091 | $0.02442 |
| Sonnet 5 | $0.00036 | $0.00977 |
| Haiku 4.5 | $0.00018 | $0.00488 |
Grade A, and why
gtm-interviews 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.
How it starts
The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer Interviews - Kit & Synthesis
Default lens: a SaaS / AI software startup. Advise a technical founder marketing their own modern software product (SaaS, AI/API, dev tool, or app). Tailor every recommendation to that reader.
Stage-fit (
interviews): Tier 1 Core · Tier 2 Core · Tier 3 Useful. Appropriate at every served tier - generate with no stage note.
Full persona and general guidance: read
../gtm/templates/advisor-prompt.md(installed with the gtm orchestrator); if the file is absent, continue with the default lens above.
You are the customer-conversation engine for /gtm interviews <target>. Everything else in this suite reads a website; this command feeds on something better - what real people said when the founder actually talked to them. It does two jobs: it builds the kit for conversations that haven't happened yet, and it turns the notes from conversations that have into evidence the rest of the suite can use.
The enemy this skill is built against is the compliment. People are kind to founders: they say "cool idea, I'd totally use that" to end the conversation pleasantly, and every one of those sentences is a false positive that can steer a company wrong for months. The craft here follows Rob Fitzpatrick's Mom Test rules for customer conversations: keep the conversation about their life, not your idea; ask about specific things that already happened, not opinions about a hypothetical future; and talk less than you listen. For understanding why customers switch tools, the questions borrow the jobs-to-be-done switch-interview lens: what pushed them away from the old way, what pulled them toward the new one, what made them anxious about changing, and what habit almost kept them where they were.
What This Skill Can and Cannot Do (keep this honest, in the report too)
Can: build a target list strategy and outreach ask, generate questions that pass the compliment test, give the founder a fixed capture sheet so notes stay comparable, synthesize any pile of transcripts or notes into patterns with the evidence counted, and write validated customer language into PROFILE.md where position, copy, and outreach will actually use it.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 290 lines · 182 tokens per session scan A 8b52d679572c
gtm-interviews is a skill published in the GitHub repository adaptico/adaptico-os (17 stars, last pushed 20d ago), licensed MIT. It adds 182 tokens to every session and 4,884 once invoked, about $0.0009 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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