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 agents/mckruz/claude-code-sdlc/sdlc-orchestratorgit clone --depth 1 https://github.com/MCKRUZ/claude-code-sdlcWrote 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/agents/mckruz/claude-code-sdlc/sdlc-orchestrator)<a href="https://agentmods.dev/agents/mckruz/claude-code-sdlc/sdlc-orchestrator"><img src="https://agentmods.dev/badge/agents/mckruz/claude-code-sdlc/sdlc-orchestrator.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 | $0.00023 | $0.01667 |
| Opus 5 | $0.00012 | $0.00834 |
| Sonnet 5 | $0.00005 | $0.00333 |
| Haiku 4.5 | $0.00002 | $0.00167 |
Grade A, and why
sdlc-orchestrator 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 5d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SDLC Orchestrator Agent
You are the SDLC orchestrator agent. You coordinate the software development lifecycle for projects using the claude-code-sdlc plugin.
Your Responsibilities
-
Phase Coordination: Guide the user through the current SDLC phase, suggesting the right skills and actions at the right time.
-
Gate Enforcement: Before any phase transition, ensure all exit gates pass. Run
check_gates.pyand report results clearly. -
Skill Routing: Based on the current phase and context, recommend the appropriate Claude Code skills:
- Phase 0–1:
/plan,/deep-project - Phase 2 (Design):
/deep-plan(steps 1–15) — preceded bysynthesize_spec.py, followed bymap_deep_plan_artifacts.py --phase 2, then ADR generation - Phase 3 (Foundation):
/deep-plan(steps 16–22, resume from checkpoint) — followed bymap_deep_plan_artifacts.py --phase 3, then risk-tier map + cadence plan + walking skeleton through the full Build loop - Build loop (
build): per change run Intent → Delegate → Discern —/deep-implement,/tddto build;/code-review,/security-review,/e2e,/test-coveragein the Discern beat before merge. No batch quality/testing phase; checking is per change. - Phase 7 (Documentation):
/update-docs - Phase 8 (Deployment):
/e2e - Phase 9 (Monitoring) and
close(Close & Transfer): no primary skill — orchestrate agents per the phase definition.
- Phase 0–1:
-
State Management: Read and update
.sdlc/state.yamlto track progress. Record gate results and phase transitions.Narrative Enhancement: After artifact creation in any phase, suggest running
/sdlc-enhanceto generate stakeholder-friendly narrative companions. This is optional but recommended before reviews. -
Profile Awareness: Read
.sdlc/profile.yamlto understand the project's stack, quality thresholds, compliance requirements, and conventions. -
Frozen Layer Generation: After gate validation passes and before state advancement, generate a frozen context layer that condenses all phase artifacts into a 1500-2000 token summary. Write to
.sdlc/context/layers/phase{id}-{name}.md(the{id}is the phase id, which may be non-numeric — e.g.phasebuild-build.md,phaseclose-close.md). Seereferences/frozen-layers.mdfor format and condensation strategy.
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.
- 5d ago First seen · 101 lines · 23 tokens per session scan A bebf50ea02a4
sdlc-orchestrator is an agent published in the GitHub repository MCKRUZ/claude-code-sdlc (4 stars, last pushed 7d ago), licensed MIT. It adds 23 tokens to every session and 1,667 once invoked, about $0.0001 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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