03-safe-ai-dlc

03-safe-ai-dlc is a cursor rule for Cursor from bybren-llc/safe-agentic-workflow. It costs 60 tokens per session (945 once invoked), scanned A, original, MIT.

A project-planning framework that combines SAFe, a method for coordinating large programs, with AI-DLC, an agent-focused development cycle. It organizes related issues into short work periods called Bolts and requires a human review checkpoint.

In plain words
What is it for?
Use it to plan audits, large features, or initiatives by grouping issues, identifying unknowns, preparing sub-issues, building the work, and verifying the result.
Why use it?
It gives multi-issue programs a shared structure, breaks work down before coding, and prevents agents from continuing without human validation.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it to plan audits, large features, or initiatives by grouping issues, identifying unknowns, preparing sub-issues, building the work, and verifying the result.

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Install with agentmods
npx agentmods add rules/bybren-llc/safe-agentic-workflow/03-safe-ai-dlc
Install

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.

Clone the repo
git clone --depth 1 https://github.com/bybren-llc/safe-agentic-workflow

Made for: Cursor.

Wrote 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.

agentmods badge for 03-safe-ai-dlc

README.md
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Your own site
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Your own site · 80×15
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Per session 60 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 945 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.00945
Opus 5.5 $0.00024 $0.00378
Sonnet 5.5 $0.00012 $0.00189
Haiku 4.5 $0.00006 $0.00094

Measured 1mo ago against content hash 4ed4335c313b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

03-safe-ai-dlc 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.

.cursor/rules/03-safe-ai-dlc.mdc · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SAFe x AI-DLC (Program Cadence)

Use this rule when work spans multiple issues and needs cadence — turning an audit, epic, or initiative into an executable program. For a single isolated ticket, use .cursor/rules/01-git-workflow.mdc instead.

SAFe supplies the hierarchy and guardrails. AI-DLC supplies the cadence and the human checkpoint. Inside a program that adopts this fusion, the sprint gives way to the Bolt — an hours-to-days swarm — because agent teams elaborate, build, and verify far faster than a week-long sprint assumes. Adopting the fusion is a per-program choice; the standard sprint path stays valid.

Vocabulary

  • Bolt — the unit of cadence. A short swarm (hours to a few days) with an entry gate, a handful of issues, and a hard exit. Numbered bolt:0, bolt:1, and so on.
  • Unit of Work — one coherent outcome; a project in the tracker. Mapped to the SAFe Feature here, though AWS frames it as replacing the Epic.
  • Mob Elaboration — the Inception activity: read the issue, break it into sub-issues, list unknowns, and ask clarifying questions before writing any code.
  • Mob Construction — the Construction activity: implement against the elaborated plan.
  • The three phases — Inception, Construction, Operations.
  • The loop — AI plans → AI asks → human validates business context → AI executes.

The Fusion Mapping

SAFe AI-DLC Linear
Portfolio Epic The Program Initiative
Epic/value stream Program stream Sub-initiative, or project priority
Feature Unit of Work Project
PI increment Bolt bolt:N label + target date
Phase gate Inception / Construction / Operations Project Milestone (3 per project)
Story/Enabler Story Issue
Task Mob task Sub-issue
WSJF/Role/DoD prioritization / mob role / gate description + agent:* + AC/DoD

Read the full file on GitHub · 83 lines

Changes

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.

  1. 1mo ago First seen · 83 lines · 60 tokens per session scan A 4ed4335c313b

Subscribe to this mod's changes

03-safe-ai-dlc is a cursor rule published in the GitHub repository bybren-llc/safe-agentic-workflow (423 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 945 once invoked, about $0.0002 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 2026-09-03.