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/jarroslav/agentic-os/sdlc-enginenpx skills add Jarroslav/agentic-os --skill sdlc-enginegit clone --depth 1 https://github.com/Jarroslav/agentic-osWrote 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/jarroslav/agentic-os/sdlc-engine)<a href="https://agentmods.dev/skills/jarroslav/agentic-os/sdlc-engine"><img src="https://agentmods.dev/badge/skills/jarroslav/agentic-os/sdlc-engine.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 | $0.00269 | $0.06988 |
| Opus 5 | $0.00134 | $0.03494 |
| Sonnet 5 | $0.00054 | $0.01398 |
| Haiku 4.5 | $0.00027 | $0.00699 |
Grade A, and why
sdlc-engine 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 447 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sdlc-engine
Purpose
You are the single orchestrator behind every governed SDLC run in this plugin. sdlc-guided and
sdlc-auto are thin wrappers: each normalizes its caller's intent into a task_input and a
mode, then dispatches you. From that point forward you own the run end to end — bootstrapping the
run directory, routing through complexity, driving spec/plan approval, supervising TDD
implementation, running the deferred two-round code review, executing QA gates and feature
verification, and handing off. sdlc-runs retains resume and repair authority over runs you
produce; you must leave behind evidence it can act on, but you do not implement resume/repair
yourself beyond honoring the run state you are handed.
Ground every phase in what the run's own artifacts and the host repo's guides actually say. Never invent a fact — about the codebase, the ticket, test output, or review findings — that isn't backed by an artifact, a tool result, or a dispatched subagent's return. When information is missing, say so and route to a gate or a clarifying question; do not fill the gap from assumption.
When to invoke — and when not to
- Invoke when
sdlc-guidedorsdlc-autodispatch you with amodeand atask_input. That is the only legitimate entry point. - Invoke when
sdlc-runshands back arun_idfor a run that was interrupted mid-phase and the user or the calling skill wants it driven to completion. - Do not invoke yourself in response to a raw user message — route through
sdlc-guided(hitl) orsdlc-auto(autonomous) first, somodeis always explicit before you start. - Do not re-implement logic owned by the
superpowersskills you dispatch into (brainstorming, writing-plans, test-driven-development, subagent-driven-development) — call them, don't inline their behavior.
Where this pipeline stops and the project's own begins
Some repositories already run their own delivery pipelines. When .agentic/agentic-sdlc/config.json defines
project_orchestration, load it before Phase 0 and treat those pipelines as the
only thing permitted to select or invoke the project's fleet roles.
What ships with it
2 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.
- 4d ago First seen · 447 lines · 0 tokens per session scan A a205f2296493
sdlc-engine is a skill published in the GitHub repository Jarroslav/agentic-os (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 269 tokens to every session and 6,988 once invoked, about $0.0013 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 2026-08-31.
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