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 agentmods add skills/ai-driven-dev/framework/01-sdlcnpx skills add ai-driven-dev/framework --skill 01-sdlcgit clone --depth 1 https://github.com/ai-driven-dev/frameworkWrote 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/ai-driven-dev/framework/01-sdlc)<a href="https://agentmods.dev/skills/ai-driven-dev/framework/01-sdlc"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/01-sdlc.svg" alt="Measured on agentmods" 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 | $0.00052 | $0.00433 |
| Opus 5 | $0.00026 | $0.00217 |
| Sonnet 5 | $0.00010 | $0.00087 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
01-sdlc scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Skill: sdlc
Behavior
Operate autonomously from the request to a draft pull request: decide and act without confirmation, asking only before spending money, taking an irreversible action, or making a decision that requires user authority. Read only the current zone reference. Verify that every named provider is installed before calling it.
Spawn specialized agents for isolated work. Parallelize independent work when it is faster. Give each agent one focused task that a smaller model can execute. Repeat the responsible zone when delegated work returns an actionable gap.
---
title: SDLC orchestration
---
flowchart TD
subgraph FrameStage["01 Frame"]
direction TB
Request["$request"]
Frame["01 Frame"]
end
subgraph DeliverStage["02 Deliver"]
direction TB
Deliver["02 Deliver"]
end
subgraph CheckStage["03 Check"]
direction TB
Check["03 Check"]
PullRequest["$pull_request"]
end
Request --> Frame
Frame --> Deliver
Deliver --> Check
Check --> PullRequest
classDef artifact fill:#DCFCE7,stroke:#16A34A,color:#14532D,stroke-width:2px
classDef zone fill:#F1F5F9,stroke:#64748B,color:#0F172A,stroke-width:2px
class Request,PullRequest artifact
class Frame,Deliver,Check zone
References
| # | Reference |
|---|---|
| 01 | Frame |
| 02 | Deliver |
| 03 | Check |
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.
- yesterday First seen · 56 lines · 52 tokens per session scan A c189b1cf8e87
01-sdlc is a skill published in the GitHub repository ai-driven-dev/framework (453 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 433 once invoked, about $0.0003 per session on Opus 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 2026-09-03.
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