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 hashgraph-online/awesome-codex-plugins --skill doc-architecturegit clone --depth 1 https://github.com/hashgraph-online/awesome-codex-pluginsWrote 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/hashgraph-online/awesome-codex-plugins/doc-architecture)<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/doc-architecture"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/doc-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/skills/hashgraph-online/awesome-codex-plugins/doc-architecture"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/doc-architecture.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 | $0.00066 | $0.01128 |
| Opus 5 | $0.00033 | $0.00564 |
| Sonnet 5 | $0.00013 | $0.00226 |
| Haiku 4.5 | $0.00007 | $0.00113 |
Grade A, and why
doc-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 3d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Doc Architecture
用途
- 将文档能力拆入现有 team-skills 主链，不新增并行文档体系。
- 统一 Discovery、Service Decomposition、NFR、Audit 的输入输出结构。
- 保证文档可追溯落盘到
docs/artifacts/、docs/adr/与docs/memory/。
完整工作流
Step 1: Discovery
- 使用 discovery-questionnaire.md 收集项目背景、技术栈、架构风格与约束。
- 若是既有项目（brownfield），先补做现状扫描：盘点现有模块、入口、外部依赖、关键数据流和历史包袱；必要时借助
/update-codemaps生成 token-lean 结构快照。 - 形成 Project Profile Card。
- 按 tech-stack-profiles.md 锁定文档术语风格。
输出回落：prd.md、delivery-plan.md
Step 2: Modeling
- 使用 service-decomposition-guide.md 识别领域与服务边界。
- 产出 Service Catalog 与 Communication Matrix。
- 收集 NFR（可用性、性能、安全、可观测性）。
输出回落：arch-design.md、api-contract.md
Step 3: Generation Mapping
- 按 artifact-mapping.md 将文档输出映射到 artifacts。
- 参考
references/templates/选择章节结构。 - 若属于 brownfield 任务，把现状扫描结果回落为 brownfield context snapshot，写入
delivery-plan.md/arch-design.md，不要新建平行事实源。 - 对缺失信息使用
<!-- TODO: ... -->标记，不虚构业务事实。
输出回落：delivery-plan.md、arch-design.md、api-contract.md
Step 4: Execute Backfill
- 在执行阶段记录实现偏差、接口漂移、事件变更。
- 关键取舍进入 ADR，轻量决策进入 decisions。
输出回落：execute-log.md、docs/adr/*.md、docs/memory/decisions.md
Step 5: Consistency Audit
- 使用 audit-checklist.md 做一致性审计。
- 审计服务名、API 覆盖、事件覆盖、鉴权一致性、索引完整性。
输出回落：test-plan.md
Step 6: Release & Evolution
- 将发布、监控、回滚与观察项落入发布产物。
- 按 doc-evolution-guide.md 做增量演进。
输出回落：release-plan.md、docs/memory/sessions/*.md
最小产物清单
docs/artifacts/{date}-{slug}/prd.mddocs/artifacts/{date}-{slug}/delivery-plan.mddocs/artifacts/{date}-{slug}/arch-design.mddocs/artifacts/{date}-{slug}/api-contract.md（按需）docs/artifacts/{date}-{slug}/execute-log.mddocs/artifacts/{date}-{slug}/test-plan.mddocs/artifacts/{date}-{slug}/release-plan.mddocs/adr/ADR-{NNN}-{slug}.md（按需）docs/memory/project-context.md、docs/memory/decisions.md、docs/memory/lessons-learned.md、docs/memory/sessions/*.md
What ships with it
14 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.
- agents/openai.yaml 268 B
- references/artifact-mapping.md 649 B
- references/audit-checklist.md 720 B
- references/discovery-questionnaire.md 1.2 KB
- references/doc-evolution-guide.md 638 B
- references/service-decomposition-guide.md 789 B
- references/tech-stack-profiles.md 884 B
- references/templates/agents-md.tmpl.md 142 B
- references/templates/architecture.tmpl.md 148 B
- references/templates/domain.tmpl.md 161 B
- references/templates/frontend.tmpl.md 163 B
- references/templates/plan.tmpl.md 115 B
- references/templates/runbook.tmpl.md 120 B
- references/templates/spec.tmpl.md 152 B
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.
- 3d ago First seen · 94 lines · 66 tokens per session scan A 9f30c6ce8600
doc-architecture is a skill published in the GitHub repository hashgraph-online/awesome-codex-plugins (956 stars, last pushed today), licensed Apache-2.0. It adds 66 tokens to every session and 1,128 once invoked, about $0.0003 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 2026-09-05.
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