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 dremonkey/agents-and-skills --skill draft-technical-architecturegit clone --depth 1 https://github.com/dremonkey/agents-and-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/skills/dremonkey/agents-and-skills/draft-technical-architecture)<a href="https://agentmods.dev/skills/dremonkey/agents-and-skills/draft-technical-architecture"><img src="https://agentmods.dev/badge/skills/dremonkey/agents-and-skills/draft-technical-architecture.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 5.1 | $0.00070 | $0.00674 |
| Opus 5 | $0.00035 | $0.00337 |
| Sonnet 5 | $0.00014 | $0.00135 |
| Haiku 4.5 | $0.00007 | $0.00067 |
Grade A, and why
draft-technical-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 8d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Draft Technical Architecture
Create practical technical specs that are easy to review and implement.
When to use this skill
Use this skill when the user asks for:
- a new technical specification
- component or subsystem architecture
- an RFC-lite for a bounded change
- implementation-ready architecture notes
This skill is optimized for small scope design work (single feature area, bounded component set).
Output goals
Every spec should be:
- specific enough to implement
- explicit about assumptions and tradeoffs
- diagram-driven for faster understanding
Workflow
-
Scope classify first
- Confirm the request is small/bounded (component-level).
- If scope is broad, split into bounded components and process one at a time.
-
Gather constraints
- Problem statement, success criteria, non-goals.
- Technical constraints (stack, interfaces, performance, security, rollout).
- Known unknowns and open decisions.
-
Draft the component architecture
- Use the template in
spec-template.md. - Include concrete interfaces, data flow, and failure handling.
- Prefer explicit decisions over abstract language.
- Use the template in
-
Add ASCII diagrams (required)
- Use ASCII to show local architecture and behavior:
- component boundaries
- request/data flow
- state transitions
- dependency direction
- Keep diagrams close to the section they explain.
- Use ASCII to show local architecture and behavior:
-
Add whole-system view (when needed)
- If the user asks for a broader system visual, apply the
excalidraw-diagram-skill. - Use Excalidraw for end-to-end/system-level context only.
- Keep ASCII for component-level details even when Excalidraw is used.
- If the user asks for a broader system visual, apply the
-
Finalize for implementation
- Call out risks, mitigations, and test strategy.
- List unresolved questions clearly.
- Ensure acceptance criteria are verifiable.
ASCII diagram conventions
- Prefer left-to-right flow for request pipelines.
- Label every arrow with action or data shape where useful.
- Use consistent naming with the prose spec.
- Keep diagrams readable in plain markdown (no Unicode box drawing required).
What ships with it
1 file 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.
- 8d ago First seen · 97 lines · 70 tokens per session scan A 0dfbb1da7983
draft-technical-architecture is a skill published in the GitHub repository dremonkey/agents-and-skills (2 stars, last pushed 24d ago), licensed MIT. It adds 70 tokens to every session and 674 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 2026-08-31.
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