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 jscraik/Agent-Skills --skill architecture-interviewgit clone --depth 1 https://github.com/jscraik/Agent-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/jscraik/agent-skills/architecture-interview)<a href="https://agentmods.dev/skills/jscraik/agent-skills/architecture-interview"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/architecture-interview/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/jscraik/agent-skills/architecture-interview"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/architecture-interview.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 | $0.00037 | $0.01185 |
| Opus 5.5 | $0.00015 | $0.00474 |
| Sonnet 5.5 | $0.00007 | $0.00237 |
| Haiku 4.5 | $0.00004 | $0.00119 |
Grade A, and why
architecture-interview 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Interview
Analyze, review, or plan architecture alternatives through a structured interview when the user needs tradeoffs surfaced before implementation or Linear decision capture.
Philosophy
- Architecture is decision-making under constraints, not a tour of every possible pattern.
- The useful output names what is chosen, what is sacrificed, and what must be verified.
- For Jamie projects, capture durable decisions in Linear-ready notes instead of ADR files unless explicitly requested.
When To Use
- Choosing between viable system design alternatives.
- Surfacing tradeoffs before implementation starts.
- Producing a concise Linear decision note with assumptions, consequences, and validation criteria.
Avoid
- The user is asking for implementation details before the decision is framed.
- There is no real tradeoff or reversible architecture consequence.
- The output would create an ADR by default in a project that uses Linear for decisions.
Inputs
- Decision statement or architecture problem.
- Candidate options and known constraints.
- Dominant drivers such as simplicity, security, performance, cost, operability, or speed.
- Existing Linear issue, spec, plan, or decision context when available.
Outputs
- One-question-at-a-time interview path when the decision is still unclear.
- Recommended option with sacrifices, assumptions, risks, and validation criteria.
- Linear-ready decision note, not an ADR file, unless the user explicitly asks for ADR output.
- Schema-bound outputs include
schema_version.
Workflow
- Start by framing the decision in one sentence.
- Ask only the next highest-leverage question when inputs are missing.
- Compare 2-4 viable alternatives against explicit drivers and constraints.
- Name the sacrifice and the non-obvious consequence of the recommended option.
- Produce a concise Linear-ready decision note once the user approves the direction.
- Fail fast if the decision is too vague to compare real alternatives.
What ships with it
3 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.
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 · 103 lines · 37 tokens per session scan A 8729c59fc292
architecture-interview is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed 4d ago), licensed Apache-2.0. It adds 37 tokens to every session and 1,185 once invoked, about $0.0001 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 2026-09-13.
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