AI-DLC Workflows is a reusable software-development lifecycle that guides AI coding agents through staged engineering work and human approval gates. Teams use it to run structured, reviewable development processes across several coding-agent environments, and the catalogue entries are its agents, skills, rules, MCP integrations, and instructions.
Borrowing it
Nothing to install: this file belongs to awslabs/aidlc-workflows. 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/awslabs/aidlc-workflows/main/AGENTS.mdgit clone --depth 1 https://github.com/awslabs/aidlc-workflowsWrote 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/instructions/awslabs/aidlc-workflows/agents-md)<a href="https://agentmods.dev/instructions/awslabs/aidlc-workflows/agents-md"><img src="https://agentmods.dev/badge/instructions/awslabs/aidlc-workflows/agents-md/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/instructions/awslabs/aidlc-workflows/agents-md"><img src="https://agentmods.dev/badge/instructions/awslabs/aidlc-workflows/agents-md.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 | $0.06389 | $0.06389 |
| Opus 5.5 | $0.02556 | $0.02556 |
| Sonnet 5.5 | $0.01278 | $0.01278 |
| Haiku 4.5 | $0.00639 | $0.00639 |
Grade A, and why
aidlc-workflows AGENTS.md 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 yesterday.
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.
The source is not reproduced here
Licensed MIT-0
The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- yesterday Changed · -2 tokens per session d5ecb1a5824c
- 4d ago Changed · +398 tokens per session 57379668076d
- 7d ago Changed · +12 tokens per session f538c7137e56
- 9d ago Changed · +14 lines · +442 tokens per session a357c8ab5f8f
- 11d ago Changed · +2 lines · +175 tokens per session 69af3fda2b57
- 12d ago Changed · +108 lines · +1,704 tokens per session 986978656d99
- 15d ago Changed · +22 lines · +361 tokens per session 9efff8cd23de
- 16d ago Changed · +2 lines · +62 tokens per session 2a2fd582cd01
- 22d ago Changed · +73 lines · +1,046 tokens per session 48601d33dec4
- 27d ago First seen · 64 lines · 2,191 tokens per session scan A a1f36d33752e
aidlc-workflows AGENTS.md is an instructions file published in the GitHub repository awslabs/aidlc-workflows (5,494 stars, last pushed today), licensed MIT-0. It adds 6,389 tokens to every session, about $0.0256 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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