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 Goldziher/ai-rulez --skill adr-workflowgit clone --depth 1 https://github.com/Goldziher/ai-rulezWrote 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/goldziher/ai-rulez/adr-workflow)<a href="https://agentmods.dev/skills/goldziher/ai-rulez/adr-workflow"><img src="https://agentmods.dev/badge/skills/goldziher/ai-rulez/adr-workflow/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/goldziher/ai-rulez/adr-workflow"><img src="https://agentmods.dev/badge/skills/goldziher/ai-rulez/adr-workflow.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 | $0.00051 | $0.00265 |
| Opus 5.5 | $0.00020 | $0.00106 |
| Sonnet 5.5 | $0.00010 | $0.00053 |
| Haiku 4.5 | $0.00005 | $0.00026 |
Grade A, and why
adr-workflow 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 today.
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.
What it actually says
When to write one
A design picked among alternatives that others must live with, a rule that tooling enforces, or a reversal. Not for bug fixes, routine dependency bumps or a choice one PR fully explains.
Steps
- Copy the template.
- Fill the mandatory sections: Context and Problem Statement, Considered Options, Decision Outcome.
- Name the file, command or PR behind each fact. Mark what you could not verify as "not verified".
- Keep it to one decision.
- Add the index row in the same PR.
Superseding
Check whether the ADR is on the default branch. If not, edit it in place. If it is, write a new ADR and change only the old one's status and date.
Statuses
proposed, accepted, rejected, deprecated, superseded by ADR-<area>/NNNN.
Optional extension
A "Measured impact" section for decisions with numbers: before, after, how measured, tool version.
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.
- today First seen · 29 lines · 51 tokens per session scan A 5c68687b3a29
adr-workflow is a skill published in the GitHub repository Goldziher/ai-rulez (163 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 265 once invoked, about $0.0002 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 2026-10-17.
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