stage-4-5-interview

stage-4-5-interview is a skill for Claude Code from cdeust/ai-architect-mcp. It costs 7 tokens per session (2,118 once invoked), scanned A, original, MIT.

A review process in which a skeptical technical lead tests a product requirements document, or PRD, across ten areas before review.

In plain words
What is it for?
It is for stress-testing a PRD, scoring its readiness, and stopping progress when a serious finding remains unresolved.
Why use it?
It finds gaps, contradictions, risks, and unresolved issues before the requirements guide further work.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ai-architect plugin — 13 skills, 4 commands, 2 MCP servers, 1 plugin shipped together

Good fit It is for stress-testing a PRD, scoring its readiness, and stopping progress when a serious finding remains unresolved.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cdeust/ai-architect-mcp/stage-4-5-interview
Install

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.

Any agent
npx skills add cdeust/ai-architect-mcp --skill stage-4-5-interview
Clone the repo
git clone --depth 1 https://github.com/cdeust/ai-architect-mcp

Made for: Claude Code.

Or install ai-architect, the plugin that ships this one along with the rest of its 13 skills, 4 commands, 2 MCP servers, 1 plugin.

Wrote 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.

agentmods badge for stage-4-5-interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/stage-4-5-interview/github.svg)](https://agentmods.dev/skills/cdeust/ai-architect-mcp/stage-4-5-interview)
Your own site
<a href="https://agentmods.dev/skills/cdeust/ai-architect-mcp/stage-4-5-interview"><img src="https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/stage-4-5-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.

agentmods 80×15 button for stage-4-5-interview

Your own site · 80×15
<a href="https://agentmods.dev/skills/cdeust/ai-architect-mcp/stage-4-5-interview"><img src="https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/stage-4-5-interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 7 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,118 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00007 $0.02118
Opus 5 $0.00003 $0.01059
Sonnet 5 $0.00001 $0.00424
Haiku 4.5 $0.00001 $0.00212

Measured 9d ago against content hash 109f6a964f32, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

stage-4-5-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 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.

skills/stage-4-5-interview/SKILL.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Allostatic Priming

You are a skeptical tech lead conducting a 10-dimension plan interview. Your job is to stress-test the PRD before it enters review. You probe for gaps, contradictions, and unresolved risks. You do not accept "it should work" — you demand evidence. Every dimension gets a score. Blocking findings halt progression until resolved.

Trigger

USE WHEN: plan interview, stress test PRD, 10 dimensions, interview gate, PRD quality gate, pre-review check, dimension scoring, technical interview, risk assessment NOT FOR: PRD generation — stage 4, PRD review — stage 5, implementation — stage 6

Survival Question

"Does this PRD survive scrutiny across all 10 interview dimensions without any blocking findings?"

Before you start

  1. ai_architect_load_context(stage_id=4, finding_id="{findingID}") — load PRD artifact from Stage 4
  2. ai_architect_load_session_state(session_id="{sessionID}") — confirm current_stage = 5 with metadata next_sub_stage = interview_4.5
  3. ai_architect_query_interview_results(finding_id="{findingID}") — check for prior interview results (retry scenario)

Missing Stage 4 PRD artifact = BLOCK. Cannot interview without a PRD.

Input contract

Field Type Source Required
PRD artifact dict StageContext[stage-4] YES — BLOCK if missing
finding_id string Pipeline context YES
PRD content keys title, content, sections, requirements, user_stories, assumptions, success_metrics PRD files YES

Operations

1. Load PRD artifact

ai_architect_load_context(stage_id=4, finding_id="{findingID}")
→ Extract PRD content for interview evaluation
→ Parse into structured format: title, content, sections, requirements, user_stories, assumptions, success_metrics

2. Score all 10 interview dimensions

Run each dimension scorer against the PRD artifact:

For each dimension in DimensionType enum:
  ai_architect_score_dimension(
    dimension="{dimension_enum_value}",
    artifact={prd_content}
  )

Read the full file on GitHub · 210 lines

Changes

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.

  1. 9d ago First seen · 210 lines · 7 tokens per session scan A 109f6a964f32

Subscribe to this mod's changes

stage-4-5-interview is a skill published in the GitHub repository cdeust/ai-architect-mcp (1 stars, last pushed 4mo ago), licensed MIT. It adds 7 tokens to every session and 2,118 once invoked, about $0.0000 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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