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 skills add ihatesea69/kiro-kit --skill architecture-docgit clone --depth 1 https://github.com/ihatesea69/kiro-kitWrote 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/ihatesea69/kiro-kit/architecture-doc)<a href="https://agentmods.dev/skills/ihatesea69/kiro-kit/architecture-doc"><img src="https://agentmods.dev/badge/skills/ihatesea69/kiro-kit/architecture-doc/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/skills/ihatesea69/kiro-kit/architecture-doc"><img src="https://agentmods.dev/badge/skills/ihatesea69/kiro-kit/architecture-doc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00063 | $0.01271 |
| Opus 5.5 | $0.00025 | $0.00508 |
| Sonnet 5.5 | $0.00013 | $0.00254 |
| Haiku 4.5 | $0.00006 | $0.00127 |
Grade A, and why
architecture-doc 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Document (SAD)
Generate Solution Architecture Documents as .docx files with python-docx.
The document is the durable, reviewable record of a design; the deck (see the
architecture-deck skill) is its presentation companion.
When to Use
- "Write the solution architecture document"
- "Turn this spec into an HLD/LLD"
- Formal design sign-off, vendor RFP responses, audit evidence
- Any
.docxdeliverable whose subject is a system architecture
Prerequisites
python -c "import docx" 2>/dev/null || pip install python-docx
Diagrams are embedded as PNG exports of their .drawio / .mmd sources
(drawio-ai render, mmdc) — same rule as the deck skill: never fork diagram
content into a second tool.
SAD Template
Use these sections in this order. Sections may be marked "Not applicable — " but never silently dropped.
- Document Control — version table (version, date, author, change), reviewers/approvers, distribution.
- Executive Summary — one page max: problem, proposed solution, cost band, key risks.
- Business Context — drivers, goals, success metrics, stakeholders (table: name, role, concern).
- Requirements
- Functional requirements summary (reference the spec's
requirements.mdIDs — do not duplicate full text). - Non-functional requirements (table: NFR, target, measurement method) — availability, latency, throughput, RTO/RPO, security/compliance, cost ceiling.
- Functional requirements summary (reference the spec's
- Constraints & Assumptions — technology mandates, budget, deadlines, team skills, regulatory scope.
- Architecture Views (the core — one subsection per view)
- Context view (C4 L1 diagram + external dependency table)
- Functional/container view (C4 L2–3 diagrams, responsibility table)
- Data view (data stores, classification, retention, lineage)
- Deployment view (regions/AZs, environments, sizing, scaling policy)
- Security view (identity, network boundaries, encryption, secrets)
- Operations view (observability, alerting, runbooks, DR)
- Architecture Decisions — ADR summary table (ID, decision, status, rationale); link full ADRs from
docs/adr/. - Well-Architected Review — 6-pillar table: pillar, finding, severity, remediation.
- Risks & Mitigations — table: risk, likelihood, impact, mitigation, owner.
- Roadmap — phases with scope and exit criteria.
- Glossary & References
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.
- 1mo ago First seen · 113 lines · 63 tokens per session scan A e3c01814fc8e
architecture-doc is a skill published in the GitHub repository ihatesea69/kiro-kit (19 stars, last pushed 2mo ago), licensed MIT. It adds 63 tokens to every session and 1,271 once invoked, about $0.0003 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.
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