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 stefanrossmeier/ai-craftkit --skill adrgengit clone --depth 1 https://github.com/stefanrossmeier/ai-craftkitWrote 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/stefanrossmeier/ai-craftkit/adrgen)<a href="https://agentmods.dev/skills/stefanrossmeier/ai-craftkit/adrgen"><img src="https://agentmods.dev/badge/skills/stefanrossmeier/ai-craftkit/adrgen/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/stefanrossmeier/ai-craftkit/adrgen"><img src="https://agentmods.dev/badge/skills/stefanrossmeier/ai-craftkit/adrgen.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 | $0.00040 | $0.02221 |
| Opus 5.5 | $0.00016 | $0.00888 |
| Sonnet 5.5 | $0.00008 | $0.00444 |
| Haiku 4.5 | $0.00004 | $0.00222 |
Grade A, and why
adrgen 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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adrgen Skill
Command: /adrgen
adrgen supports architecture decision work while keeping a strict boundary between what the repository implements and what humans explicitly decided.
Modes
/adrgen discover
/adrgen generate
/adrgen capture
/adrgen prepare
Treat additional user text as plain-language scope or source material, not shell-style flags.
discover
Find architecture-significant choices that appear in the repository but are not adequately documented.
Default output:
docs/adr/ADR_CANDIDATES.md
docs/adr/README.md
Discovery identifies implemented decision candidates. It must not claim that a choice was historically accepted, or invent why it was chosen, merely because the code consistently implements it.
Good candidates usually have meaningful consequences for boundaries, data ownership, integration, deployment, security, reliability, technology/platform commitment, or future change cost.
Do not treat ordinary implementation details, style conventions, or every dependency as ADR-worthy.
generate
Turn reviewed/selected candidates into ADR drafts.
Read:
docs/adr/ADR_CANDIDATES.md
docs/adr/README.md
docs/adr/*.md
Generate only candidates explicitly marked selected/approved/ready, or directly requested by the user.
Default decision status for a candidate inferred from repository implementation is PROPOSED, even when the implementation already exists. Record implementation separately as IMPLEMENTED, PARTIAL, or UNKNOWN.
An ADR may be marked ACCEPTED only when explicit human evidence establishes acceptance, for example:
- user-provided confirmation
- existing decision documentation
- meeting/discussion notes
- issue or pull-request decision text
- an authoritative project document that clearly records the decision
Code shape alone is not evidence of historical acceptance.
capture
Turn an explicit human decision source into an ADR.
Typical sources:
- meeting notes or transcript
- issue/PR discussion
- architecture review notes
- user-provided decision summary
- existing design document
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 Changed · -1,695 lines · +40 tokens per session 7a2e1e10d117
- 2mo ago First seen · 2,041 lines · 0 tokens per session scan A 6524da44390e
adrgen is a skill published in the GitHub repository stefanrossmeier/ai-craftkit (5 stars, last pushed 4d ago), licensed Apache-2.0. It adds 40 tokens to every session and 2,221 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 2026-08-31.
adrgen compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| adrgenstefanrossmeier/ai-craftkit | Skill | 5 | 4d ago | Apache-2.0 | A | 40 | Claude Code, Codex |
| architecture-decision-record-maintainer-skillarchitecture-decision-record/architecture-decision-record | Skill | 17k | 8d ago | none | A | 92 | Claude Code, Codex |
| architecture-decision-record-skillarchitecture-decision-record/architecture-decision-record | Skill | 17k | 8d ago | none | A | 108 | Claude Code, Codex |
| atlas-adrtonone-ai/tonone | Skill | 77 | 23d ago | MIT | A | 51 | Claude Code |
| bootstrapEvolveHQ/docflow | Skill | 16 | 15d ago | MIT | A | 114 | Claude Code, Codex |
| agent-waveEvolveHQ/docflow | Skill | 16 | 15d ago | MIT | A | 82 | Claude Code, Codex |
| new-planEvolveHQ/docflow | Skill | 16 | 15d ago | MIT | A | 118 | Claude Code, Codex |