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-jones-odevo-ai-native-transformationgit 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-jones-odevo-ai-native-transformation)<a href="https://agentmods.dev/skills/jscraik/agent-skills/talk-jones-odevo-ai-native-transformation"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-jones-odevo-ai-native-transformation/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-jones-odevo-ai-native-transformation"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-jones-odevo-ai-native-transformation.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 | $0.00168 | $0.01904 |
| Opus 5.5 | $0.00067 | $0.00762 |
| Sonnet 5.5 | $0.00034 | $0.00381 |
| Haiku 4.5 | $0.00017 | $0.00190 |
Grade A, and why
talk-jones-odevo-ai-native-transformation 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
More software, faster — Odevo's AI Native transformation
Daniel Jones (re-cinq) and Tomasz (Odevo) walk through how Odevo — Sweden's third-largest private tech company, a residential property management group that has grown from 50k to 2.5M homes under management and from 1k to 14k employees in seven years through near-weekly acquisitions — rolled out agentic coding to its heterogeneous developer base. The thesis: providing licences and training alone isn't enough; you need discovery, in-person workshops that surface fears, the right fundamentals (CI/CD, platform, tests, standards), and a willingness to reinvent the SDLC once adoption lands. Outcomes included 94% AI adoption, a one-to-one rewrite in three weeks of a platform that had taken eight years to build, and a new bottleneck moving from engineering to product.
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 whenever possible.
- Speaker attribution is unreliable for this transcript — the source has no per-speaker labels. There are two speakers (Daniel Jones / "DJ" / "Deejay" from re-cinq, and Tomasz from Odevo, ex-McKinsey). Prefer phrasing like "one of the speakers said..." unless context clearly identifies who is talking (e.g. the speaker referring to "Tomasz" or "Dan" in the third person identifies the other speaker; references to "when I joined Odevo in 2024" are clearly Tomasz; references to "we at re-cinq" or "small boutique consultancy" are Daniel).
- Cross-reference any named addressee with the speaker context in
outline.mdbefore attributing. The transcript contains speech-to-text artifacts (e.g. "DOGPT" for what is likely a custom GPT, "magenta coding" for "agentic coding", "the dopamine in Russia" likely meaning "the dopamine rush", "Ralph Wiggum loops" possibly for a coding-agent loop pattern) — preserve these verbatim and flag them as transcription artifacts when quoting.
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 · 97 lines · 168 tokens per session scan A a30dd0d7df54
talk-jones-odevo-ai-native-transformation is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed yesterday), licensed Apache-2.0. It adds 168 tokens to every session and 1,904 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 2026-08-31.
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