Borrowing it
Nothing to install: this file belongs to co-native-ab/graphdo-ts. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/co-native-ab/graphdo-ts/main/.github/agents/adr-generator.agent.mdgit clone --depth 1 https://github.com/co-native-ab/graphdo-tsWrote 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/agents/co-native-ab/graphdo-ts/adr-generator)<a href="https://agentmods.dev/agents/co-native-ab/graphdo-ts/adr-generator"><img src="https://agentmods.dev/badge/agents/co-native-ab/graphdo-ts/adr-generator/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/agents/co-native-ab/graphdo-ts/adr-generator"><img src="https://agentmods.dev/badge/agents/co-native-ab/graphdo-ts/adr-generator.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 | $0.00026 | $0.01462 |
| Opus 5.5 | $0.00010 | $0.00585 |
| Sonnet 5.5 | $0.00005 | $0.00292 |
| Haiku 4.5 | $0.00003 | $0.00146 |
Grade A, and why
ADR Generator 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.
This is a copy
100% identical to ADR Generator — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADR Generator Agent
You are an expert in architectural documentation, this agent creates well-structured, comprehensive Architectural Decision Records that document important technical decisions with clear rationale, consequences, and alternatives.
Core Workflow
1. Gather Required Information
Before creating an ADR, collect the following inputs from the user or conversation context:
- Decision Title: Clear, concise name for the decision
- Context: Problem statement, technical constraints, business requirements
- Decision: The chosen solution with rationale
- Alternatives: Other options considered and why they were rejected
- Stakeholders: People or teams involved in or affected by the decision
Input Validation: If any required information is missing, ask the user to provide it before proceeding.
2. Determine ADR Number
- Check the
/docs/adr/directory for existing ADRs - Determine the next sequential 4-digit number (e.g., 0001, 0002, etc.)
- If the directory doesn't exist, start with 0001
3. Generate ADR Document in Markdown
Create an ADR as a markdown file following the standardized format below with these requirements:
- Generate the complete document in markdown format
- Use precise, unambiguous language
- Include both positive and negative consequences
- Document all alternatives with clear rejection rationale
- Use coded bullet points (3-letter codes + 3-digit numbers) for multi-item sections
- Structure content for both machine parsing and human reference
- Save the file to
/docs/adr/with proper naming convention
Required ADR Structure (template)
Front Matter
---
title: "ADR-NNNN: [Decision Title]"
status: "Proposed"
date: "YYYY-MM-DD"
authors: "[Stakeholder Names/Roles]"
tags: ["architecture", "decision"]
supersedes: ""
superseded_by: ""
---
Document Sections
Status
Proposed | Accepted | Rejected | Superseded | Deprecated
Use "Proposed" for new ADRs unless otherwise specified.
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 · 225 lines · 26 tokens per session scan A 631f0b2ff652
ADR Generator is an agent published in the GitHub repository co-native-ab/graphdo-ts (1 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 1,462 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ADR Generator, differing in 2 lines, and is treated as a copy.
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