Borrowing it
Nothing to install: this file belongs to ddddjaak/se-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ddddjaak/se-skills/main/.claude/commands/se-architecture.mdgit clone --depth 1 https://github.com/ddddjaak/se-skillsWrote 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/commands/ddddjaak/se-skills/se-architecture)<a href="https://agentmods.dev/commands/ddddjaak/se-skills/se-architecture"><img src="https://agentmods.dev/badge/commands/ddddjaak/se-skills/se-architecture/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/commands/ddddjaak/se-skills/se-architecture"><img src="https://agentmods.dev/badge/commands/ddddjaak/se-skills/se-architecture.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00026 | $0.00221 |
| Opus 5 | $0.00013 | $0.00111 |
| Sonnet 5 | $0.00005 | $0.00044 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
se-architecture 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 9d 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.
What it actually says
Invoke the se-skills:architecture-design skill.
Prerequisites: structured system requirements must exist. If missing or incomplete, invoke se-skills:requirements-decompose first.
Work through the five-step process:
- DECOMPOSE — break the system into modules with single responsibilities, natural boundaries, and clear dependencies
- INTERFACE — define every module dependency precisely: data format, timing, concurrency model, error handling, power-state behavior
- CONSTRAINT — extract all cross-cutting constraints from requirements, assign to affected modules, surface conflicts
- TRADE-OFF — for every non-trivial decision, document alternatives considered, rationale (citing specific requirement IDs), and accepted downsides
- DOCUMENT — produce the complete architecture design document with block diagram, module definitions, interface specs, constraint analysis, trade-off records, and risk register
Save the output to docs/architecture/[project]-architecture-design.md after user confirmation.
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.
- 9d ago First seen · 17 lines · 26 tokens per session scan A 75fc191ef1f1
se-architecture is a command published in the GitHub repository ddddjaak/se-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 221 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.