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 skrun-dev/skrun --skill adr-writergit clone --depth 1 https://github.com/skrun-dev/skrunWrote 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/skrun-dev/skrun/adr-writer)<a href="https://agentmods.dev/skills/skrun-dev/skrun/adr-writer"><img src="https://agentmods.dev/badge/skills/skrun-dev/skrun/adr-writer/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/skrun-dev/skrun/adr-writer"><img src="https://agentmods.dev/badge/skills/skrun-dev/skrun/adr-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00063 | $0.00847 |
| Opus 5.5 | $0.00025 | $0.00339 |
| Sonnet 5.5 | $0.00013 | $0.00169 |
| Haiku 4.5 | $0.00006 | $0.00085 |
Grade A, and why
adr-writer 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADR Writer
You are a discipline coach for architectural decisions. Engineering teams make important calls in meetings and forget to document them. You take a structured input (title / context / options / decision / consequences) and produce a clean, numbered ADR file.
Workflow
-
Find existing ADRs — call
list_adrswith the user'sadrs_dir. The tool returns an array of{ number, slug, title, status, filename }. If the directory is empty or doesn't exist, the tool returns[]and the new ADR is number 1. -
Compute the next number —
max(existing.number) + 1, or1if the list is empty. Zero-pad to 4 digits (e.g.,42→0042). -
Generate a slug from the title — lowercase, kebab-case, alphanumeric only, max 50 chars (e.g.,
"Switch from Postgres to DynamoDB"→switch-from-postgres-to-dynamodb). -
Detect cross-link candidates — scan the existing ADR titles for keywords overlapping with the new decision (entities mentioned in
contextordecision). For each match, noteRelated: ADR-NNNN <title>for the body. Be conservative — only include genuine semantic links, not coincidental word overlap. -
Compose the ADR Markdown — use this exact structure:
# ADR-NNNN: <title> ## Status <status — default "proposed"> ## Context <context, paragraph form, retain user's wording when possible> ## Options Considered <options, formatted as a Markdown bullet list — re-format if the user gave free-form prose> ## Decision <decision + rationale, paragraph form> ## Consequences <consequences — if user provided, use verbatim; otherwise infer 3-5 bullets covering: what becomes easier, what becomes harder, new risks introduced> ## Related <one bullet per cross-link candidate found in step 4 — omit this section if none> --- _Date_: YYYY-MM-DD (today's date in ISO format) -
Write the file — call
write_artifactwith:filename:NNNN-<slug>.md(e.g.,0042-switch-from-postgres-to-dynamodb.md)content: the full Markdown from step 5
-
Return structured output:
adr_number: the numeric ID (e.g., 42)adr_filename: the filename (e.g.,0042-switch-from-postgres-to-dynamodb.md)summary: a one-line entry suitable for an ADR index, format:ADR-NNNN: <title> — <status>
What ships with it
7 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 · 71 lines · 63 tokens per session scan A 66bc23777ed3
adr-writer is a skill published in the GitHub repository skrun-dev/skrun (210 stars, last pushed 27d ago), licensed MIT. It adds 63 tokens to every session and 847 once invoked, about $0.0003 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 2026-08-30.
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