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.
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 awslabs/aidlc-workflows --skill aidlcgit 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/skills/awslabs/aidlc-workflows/aidlc)<a href="https://agentmods.dev/skills/awslabs/aidlc-workflows/aidlc"><img src="https://agentmods.dev/badge/skills/awslabs/aidlc-workflows/aidlc/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/awslabs/aidlc-workflows/aidlc"><img src="https://agentmods.dev/badge/skills/awslabs/aidlc-workflows/aidlc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 146 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00177 | $0.11082 |
| Opus 5.5 | $0.00071 | $0.04433 |
| Sonnet 5.5 | $0.00035 | $0.02216 |
| Haiku 4.5 | $0.00018 | $0.01108 |
Grade A, and why
aidlc 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 today.
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 ships with it
3 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.
- today Changed b1da7195a129
- yesterday Changed 65a404154d58
- 2d ago Changed a4c439faa565
- 3d ago Changed 30edfb7eccd7
- 4d ago Changed 8407df3336ae
- 5d ago Changed 46c0e11cac47
- 9d ago Changed be2e26e394bd
- 10d ago Changed · -189 lines scan C → A fee4560afc18
- 11d ago Changed 54d52b0594ea
- 12d ago First seen · 354 lines · 177 tokens per session scan C b62f59330497
aidlc is a skill published in the GitHub repository awslabs/aidlc-workflows (5,494 stars, last pushed today), licensed MIT-0. It adds 177 tokens to every session and 11,082 once invoked, about $0.0007 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 2026-09-02.
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