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 wufunc/nova --skill adr-creatorgit clone --depth 1 https://github.com/wufunc/novaWrote 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/wufunc/nova/adr-creator)<a href="https://agentmods.dev/skills/wufunc/nova/adr-creator"><img src="https://agentmods.dev/badge/skills/wufunc/nova/adr-creator/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/wufunc/nova/adr-creator"><img src="https://agentmods.dev/badge/skills/wufunc/nova/adr-creator.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 | $0.00085 | $0.01649 |
| Opus 5.5 | $0.00034 | $0.00660 |
| Sonnet 5.5 | $0.00017 | $0.00330 |
| Haiku 4.5 | $0.00009 | $0.00165 |
Grade A, and why
adr-creator 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 2d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADR Creator
Overview
Pure writer skill for Architecture Decision Records. Always invoked by the memory skill, never directly for decision-making. It receives a write verdict already decided by the memory skill's reconciliation step and applies it to disk.
Inputs From the Memory Skill
| Input | Required | Meaning |
|---|---|---|
| verdict | Yes | CREATE, UPDATE, or SUPERSEDE |
| topic | Yes | Stable topic slug for this subject |
| target | For UPDATE / SUPERSEDE |
Path of the existing ADR being revised or replaced |
| tag | If already chosen | Shared mem/NNN tag for this session |
If the verdict is missing, do not guess. Ask the memory skill to reconcile first — writing without a verdict is what causes duplicate ADRs.
Workflow
Step 1: Determine ADR Number
For CREATE and SUPERSEDE (which creates a new entry):
# List existing ADRs to find the highest number
Glob pattern: .nova/memory/adr/[0-9]*.md
Glob pattern: .nova/memory/archive/adr/[0-9]*.md
# Use next sequential three-digit number (001, 002, 003...)
Include archived entries when scanning — numbers are never reused.
For UPDATE, keep the target's existing number and filename.
Step 2: Determine Memory Tag
# Find the latest mem tag to determine next number
git tag -l 'mem/*' --sort=-version:refname | head -1
# Next tag: mem/NNN (increment by 1)
# If no tags exist, use mem/001
If the memory skill has already provided a tag name (because a DevLog is also being written in this session), use that same tag.
Step 3: Generate ADR Content
Analyze the conversation to extract the architectural decision. Follow the
format in references/adr-format.md.
Structure:
---
tags: [tag1, tag2, tag3]
modules: [path/to/module1, path/to/module2]
summary: "One-line summary of the decision for Grep-based retrieval"
topic: stable-topic-slug
status: active
tag: mem/NNN
---
# ADR NNN: Concise Decision Title
## Date
YYYY-MM-DD HH:mm
## Background
- Problem description
- Why a decision was needed
- Technical constraints
- Alternative approaches considered
## Decision
- Chosen approach
- Key implementation points
- Design rationale (why this approach, why not others)
## Consequences
### Advantages
- Positive impacts
### Disadvantages
- Negative impacts and trade-offs
### Risk Mitigation (optional)
- How to reduce negative impacts
## Related Decisions
- ADR XXX: Reference to related decisions
What ships with it
2 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.
- 2d ago Changed · +73 lines · +13 tokens per session 939a562e8a20
- 1mo ago First seen · 138 lines · 72 tokens per session scan A 3ab79ac90080
adr-creator is a skill published in the GitHub repository wufunc/nova (2 stars, last pushed 3d ago), licensed MIT. It adds 85 tokens to every session and 1,649 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 2026-08-31.
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