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-debois-agent-enablementgit 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-debois-agent-enablement)<a href="https://agentmods.dev/skills/jscraik/agent-skills/talk-debois-agent-enablement"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-debois-agent-enablement/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-debois-agent-enablement"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-debois-agent-enablement.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 | $0.00129 | $0.01565 |
| Opus 5.5 | $0.00052 | $0.00626 |
| Sonnet 5.5 | $0.00026 | $0.00313 |
| Haiku 4.5 | $0.00013 | $0.00156 |
Grade A, and why
talk-debois-agent-enablement 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coding Agents Don't Scale Themselves. Neither Do Your Teams. — Patrick Debois
Patrick Debois (coiner of "DevOps", co-author of the DevOps Handbook) argues that scaling AI coding agents inside an organisation requires a dedicated Agent Enablement function — analogous to DevOps or Platform Engineering teams of past eras. He frames the work across three pillars (Enablement, Platform, Governance) and three organisational lenses (developer, team lead, VP of engineering), with a central mindset shift: stop fixing the code, fix the system that produces the code. Most "good engineering practice" for humans turns out to be good for agents, and vice versa.
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 whenever possible.
- Speaker attribution is unreliable for this transcript — the source has no per-speaker labels and contains visible speech-to-text artefacts (e.g. "deals activated without people", "alza", "rainbow", "tynatics", "Brigitte"). The talk is single-speaker (Debois) except for the brief MC intro/outro at the very start and end. Prefer phrasing like "Debois argues..." for the body, and "the MC introduced him as..." for the framing. Do not invent attributions for audience members — there is no Q&A captured.
- Preserve transcript artefacts verbatim when quoting. If a quote contains an obvious garble (e.g. "deals activated without people" likely = "devs/agents activated with/without people"), quote it as-is and optionally note
[transcription artefact]— do not silently "correct" it.
Safety rules for source material
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 · 84 lines · 129 tokens per session scan A 85feb64f3288
talk-debois-agent-enablement is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed yesterday), licensed Apache-2.0. It adds 129 tokens to every session and 1,565 once invoked, about $0.0005 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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