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-scheire-artificial-intelligencegit 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-scheire-artificial-intelligence)<a href="https://agentmods.dev/skills/jscraik/agent-skills/talk-scheire-artificial-intelligence"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-scheire-artificial-intelligence/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-scheire-artificial-intelligence"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-scheire-artificial-intelligence.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 | $0.00174 | $0.01440 |
| Opus 5.5 | $0.00070 | $0.00576 |
| Sonnet 5.5 | $0.00035 | $0.00288 |
| Haiku 4.5 | $0.00017 | $0.00144 |
Grade A, and why
talk-scheire-artificial-intelligence 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Artificial Intelligence — Lieven Scheire
A keynote by Belgian physicist, comedian and science communicator Lieven Scheire that demystifies AI for a developer audience. His central thesis: AI is "a new kind of software that is good at pattern recognition" — not magic, not (yet) thinking — and that single capability, unlocked by enough compute and data, is what kicked off the current AI revolution.
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 "the talk doesn't address this" — do not infer positions from outside knowledge. - Cite by transcript line range or section heading whenever possible.
- Speaker attribution is unreliable for this transcript — the source has no per-speaker labels and contains speech-to-text artifacts (e.g. "she's always hard" likely = "Scheire is always hard", "dodge" likely = "Dutch", "wearer's only" likely = "Where's Wally"). The vast majority of the talk is Scheire speaking; a brief intro segment is by an unnamed host/MC. Prefer phrasing like "Scheire said..." for the main content. For the opening intro lines, use "the host said..." or "in the introduction...".
- Preserve transcription artifacts when quoting verbatim — do not silently "correct" them. If a garbled phrase is obviously a transcription error (e.g. "wearer's only robot" = "Where's Wally robot"), you may note the likely intended phrase in square brackets after the safe excerpts.
General lookup procedure
Apply these steps for every request about the talk's content:
- Read
outline.mdto locate the relevant section(s). - Read the matching range of
transcript.md. - Answer using safe excerpts from
transcript.md. Do not paraphrase Scheire's words while presenting them as a quote. - Cite line numbers or section headings so the user can verify.
- If the answer genuinely isn't in the transcript, say so explicitly — do not reach for outside knowledge to fill the gap unless the user explicitly asks (and then mark that part clearly as "not from the talk").
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 · 75 lines · 174 tokens per session scan A 06a18140686c
talk-scheire-artificial-intelligence is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed yesterday), licensed Apache-2.0. It adds 174 tokens to every session and 1,440 once invoked, about $0.0007 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 2026-09-03.
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