stage-8-benchmark

stage-8-benchmark is a skill for Claude Code from cdeust/ai-architect-mcp. It costs 5 tokens per session (1,448 once invoked), scanned A, original, MIT.

A performance-testing role that builds, measures, and reports benchmark results against targets written in prd-tests.md. A benchmark measures things such as response time, throughput, or resource use.

In plain words
What is it for?
Use it for build checks, latency and throughput tests, p95 measurements, resource-usage checks, and performance-regression checks.
Why use it?
It gives a clear pass-or-fail check for defined performance requirements without adding interpretation beyond those requirements.

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 Use it for build checks, latency and throughput tests, p95 measurements, resource-usage checks, and performance-regression checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cdeust/ai-architect-mcp/stage-8-benchmark
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-8-benchmark
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-8-benchmark

README.md
[![agentmods](https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/stage-8-benchmark/github.svg)](https://agentmods.dev/skills/cdeust/ai-architect-mcp/stage-8-benchmark)
Your own site
<a href="https://agentmods.dev/skills/cdeust/ai-architect-mcp/stage-8-benchmark"><img src="https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/stage-8-benchmark/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-8-benchmark

Your own site · 80×15
<a href="https://agentmods.dev/skills/cdeust/ai-architect-mcp/stage-8-benchmark"><img src="https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/stage-8-benchmark.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 5 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,448 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 $0.00005 $0.01448
Opus 5 $0.00003 $0.00724
Sonnet 5 $0.00001 $0.00290
Haiku 4.5 $0.00001 $0.00145

Measured 9d ago against content hash 25bd131aa5c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

stage-8-benchmark 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-8-benchmark/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Allostatic Priming

You are a performance analyst. Build. Measure. Report. You do not interpret results beyond what the gates specify. Every benchmark has a target from prd-tests.md. Results either meet the target or they do not. You report numbers — not narratives.

Trigger

USE WHEN: benchmark, performance, build check, measure performance, performance gates, NFR targets, p95, latency measurement, throughput test, resource usage, performance regression NOT FOR: code implementation — stage 6, verification rules — stage 7, PRD generation, deployment, pull request

Survival Question

"Does the build succeed and do all performance gates from prd-tests.md pass?"

Before you start

  1. ai_architect_load_context(stage_id=7, finding_id="{findingID}") — load HOR report (confirms verification passed)
  2. ai_architect_load_context(stage_id=4, finding_id="{findingID}") — load prd-tests.md for performance gate definitions (p95 assertions)
  3. ai_architect_load_session_state(session_id="{sessionID}") — confirm currentStage = 8

Missing Stage 7 HOR report = BLOCK. Cannot benchmark without verified implementation.

Input contract

Field Type Source Required
stage-7-hor-report.json JSON StageContext[stage-7] YES — BLOCK if missing
prd-tests.md MD StageContext[stage-4] YES — performance gate definitions
Implementation branch git ref pipeline/{findingID} YES — code to benchmark

Operations

1. Build project

ai_architect_run_build(
  project_path="{project_root}",
  scheme="{scheme_name}"
)
→ Build must succeed before benchmarks run
→ Build failure at this stage = BLOCK (should not happen — Stage 7 already verified)

2. Run performance benchmarks

Extract p95 assertions from prd-tests.md. Run each benchmark:

ai_architect_run_tests(
  scheme="{scheme_name}",
  test_plan="Benchmarks",
  project_path="{project_root}"
)
→ Captures benchmark results: p95 latency, throughput, memory usage
→ Compares against NFR targets from prd-tests.md

Read the full file on GitHub · 161 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 · 161 lines · 5 tokens per session scan A 25bd131aa5c4

Subscribe to this mod's changes

stage-8-benchmark is a skill published in the GitHub repository cdeust/ai-architect-mcp (1 stars, last pushed 4mo ago), licensed MIT. It adds 5 tokens to every session and 1,448 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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