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 jscraik/Agent-Skills --skill talk-batey-building-product-teams-age-of-aigit clone --depth 1 https://github.com/jscraik/Agent-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/jscraik/agent-skills/talk-batey-building-product-teams-age-of-ai)<a href="https://agentmods.dev/skills/jscraik/agent-skills/talk-batey-building-product-teams-age-of-ai"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-batey-building-product-teams-age-of-ai/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/jscraik/agent-skills/talk-batey-building-product-teams-age-of-ai"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-batey-building-product-teams-age-of-ai.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 | $0.00155 | $0.00844 |
| Opus 5.5 | $0.00062 | $0.00338 |
| Sonnet 5.5 | $0.00031 | $0.00169 |
| Haiku 4.5 | $0.00015 | $0.00084 |
Grade A, and why
talk-batey-building-product-teams-age-of-ai 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 1mo 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building Product Teams in the Age of AI: What We Had to Relearn Every Quarter — Christopher Batey
Christopher Batey (CTO, Core Engineering Consulting Group) argues that AI is an amplifier — it accelerates building but exposes weaknesses in product decisions, adoption, system understanding, and review capacity. The response is disciplined practice: write ADRs first, keep teams small with adoption-bound missions, work in parallel but only one complex task at a time, and measure adoption — not commits, PRs, or tokens.
Grounding rules — MUST follow when answering
- Before answering any specific question, read
outline.mdto locate the relevant section, then read that section oftranscript.md. - When attributing words, quote short, non-sensitive excerpts from
transcript.md. Never put quotation marks around paraphrased content. - If a claim isn't in
transcript.md, say so explicitly — do not speculate, extrapolate, or fill the gap with general knowledge. Respond with something like: "Batey doesn't address that in this talk."
Bundle file structure
This skill relies on two supporting files in the same bundle:
outline.md— A structured index of the talk's sections and timestamps, used to navigate to the relevant portion of the transcript before answering.transcript.md— The full verbatim transcript of the talk, used as the sole authoritative source for quotes and claims.
If either file is unavailable, state this limitation and answer only from the summary in this skill file, clearly flagging that you are not quoting the transcript.
Example: question and expected output format
User question: Why does Batey say review becomes the bottleneck?
Workflow:
- Open
outline.md, find the section on review bottlenecks. - Read that section of
transcript.md. - Answer using a safe excerpts to anchor the claim, then explain context:
Batey explains this directly: "[safe excerpts from transcript.md]" He argues that AI raises the rate of production while human review capacity stays flat, so the constraint shifts from writing code to evaluating it.
What ships with it
4 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.
- 1mo ago First seen · 53 lines · 155 tokens per session scan A 1e2abe2ed958
talk-batey-building-product-teams-age-of-ai is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed yesterday), licensed Apache-2.0. It adds 155 tokens to every session and 844 once invoked, about $0.0006 per session on Opus 5.5. 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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