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-roberts-ai-native-brownfieldgit 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-roberts-ai-native-brownfield)<a href="https://agentmods.dev/skills/jscraik/agent-skills/talk-roberts-ai-native-brownfield"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-roberts-ai-native-brownfield/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-roberts-ai-native-brownfield"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-roberts-ai-native-brownfield.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 | $0.00125 | $0.01244 |
| Opus 5.5 | $0.00050 | $0.00498 |
| Sonnet 5.5 | $0.00025 | $0.00249 |
| Haiku 4.5 | $0.00013 | $0.00124 |
Grade A, and why
talk-roberts-ai-native-brownfield 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stop Maintaining, Start Evolving: Applying AI-Native Practices to Brownfield Codebases — Katie Roberts
Katie Roberts shares lessons from a hands-on experiment: using AI to reverse-engineer and rebuild an S3-compatible object storage system (~350k lines of Rust, written in a few months) after MinIO stopped maintaining theirs. The talk argues that AI-assisted development of large complex systems is feasible if you stay in the loop, use an external test oracle to ground behaviour, kill flaky tests immediately, and treat refactoring (and throwing code away) as a routine part of the feedback loop — not as failure.
Supporting files
Two files accompany this skill and must be consulted before answering:
outline.md— contains: section headers with line-range pointers into the transcript, a terminology glossary (test oracle, human-in-the-loop, refactor weeks, type-driven authorisation, AI-built tracing, etc.), and a "Named frameworks / concepts" index.transcript.md— the full talk transcript. Speaker labels are absent; the bulk is Katie Roberts presenting, with unlabelled audience questions at the end. A participants list appears in the transcript header.
Grounding rules and general workflow — MUST follow when answering
Apply these steps for every query:
- Read
outline.mdto find the relevant section(s) and any applicable glossary or framework entries. - Read the corresponding range(s) of
transcript.md. - Answer using safe excerpts from
transcript.md. Never put quotation marks around paraphrased content. Cite line numbers so the user can verify. - If a claim isn't in
transcript.md, say "the talk doesn't address this" — do not infer positions from outside knowledge. - Speaker attribution is unreliable — the source has no per-speaker labels. Prefer phrasing like "an audience member asked..." for questions, and only attribute to Katie when the content is clearly her presenting. Cross-reference any named addressee with the participants list in the transcript header /
outline.mdbefore attributing.
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 · 79 lines · 125 tokens per session scan A b93be29e2cff
talk-roberts-ai-native-brownfield is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed yesterday), licensed Apache-2.0. It adds 125 tokens to every session and 1,244 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 2026-09-03.
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