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 cdeust/ai-architect-mcp --skill stage-8-benchmarkgit clone --depth 1 https://github.com/cdeust/ai-architect-mcpWrote 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/cdeust/ai-architect-mcp/stage-8-benchmark)<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.
<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>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 | $0.00005 | $0.01448 |
| Opus 5 | $0.00003 | $0.00724 |
| Sonnet 5 | $0.00001 | $0.00290 |
| Haiku 4.5 | $0.00001 | $0.00145 |
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.
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
ai_architect_load_context(stage_id=7, finding_id="{findingID}")— load HOR report (confirms verification passed)ai_architect_load_context(stage_id=4, finding_id="{findingID}")— load prd-tests.md for performance gate definitions (p95 assertions)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
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.
- 9d ago First seen · 161 lines · 5 tokens per session scan A 25bd131aa5c4
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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