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 medscout-gtm/gtm-skills --skill target-account-playbookgit clone --depth 1 https://github.com/medscout-gtm/gtm-skillsWrote 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/medscout-gtm/gtm-skills/target-account-playbook)<a href="https://agentmods.dev/skills/medscout-gtm/gtm-skills/target-account-playbook"><img src="https://agentmods.dev/badge/skills/medscout-gtm/gtm-skills/target-account-playbook/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/medscout-gtm/gtm-skills/target-account-playbook"><img src="https://agentmods.dev/badge/skills/medscout-gtm/gtm-skills/target-account-playbook.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 | $0.00049 | $0.02324 |
| Opus 5 | $0.00024 | $0.01162 |
| Sonnet 5 | $0.00010 | $0.00465 |
| Haiku 4.5 | $0.00005 | $0.00232 |
Grade A, and why
target-account-playbook 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Target Account Playbook
This skill guides a marketing or sales leader through building a target account playbook for their company — the criteria for what makes an account worth pursuing, organized by when in the sales process you can assess each one. The output is one document their team can use.
How This Skill Works
This is a staged facilitation workflow. At each stage, you load a cartridge (a reference file that briefs you on what to probe for) and use the Interview Me methodology to run the interview. At the end, you use the generator reference to build the framework document.
At each stage:
- Load the cartridge reference for the current stage from
references/. - Use the Skill tool to load
interview-mewith the cartridge content as your briefing. Interview Me handles the conversational mechanics; the cartridge tells you what to probe for in this stage. - Produce the stage output — a synthesis and session journey — before moving to the next stage.
The user never sees these internals. They experience one continuous conversation through the stages.
Orienting the User
When the user starts, walk them through what's ahead. Use plain language — no internal terminology. Something like:
"We're going to build a qualification framework for your company — a clear picture of what makes an account worth pursuing and how to assess that. Here's how we'll get there:
-
Understanding your company and current thinking. We'll start with what you sell, who you sell to, and how you currently think about which accounts are a good fit. If you already have an ICP document or qualification criteria, bring it — we'll use it as a starting point.
-
Testing that against real customers. You'll walk me through some of your best-fit and worst-fit customers. This is where we pressure-test your criteria against what actually happened — which things held up, which things surprised you, what patterns emerge.
-
Your rep's actual process (optional but recommended). If you can record your best rep walking through how they qualify an account — thinking out loud as they work — bring me that transcript and we'll unpack it together. This captures the undocumented knowledge that's never been written down. You don't need this to get started, but the framework gets meaningfully better with it.
What ships with it
6 files 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.
- 12d ago First seen · 118 lines · 49 tokens per session scan A d304df731c96
target-account-playbook is a skill published in the GitHub repository medscout-gtm/gtm-skills (6 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 2,324 once invoked, about $0.0002 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 2026-08-31.
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