engineering-autonomous-optimization-architect

engineering-autonomous-optimization-architect is a skill for Claude Code, Codex from clowlove/Hermes-House. It costs 40 tokens per session (1,840 once invoked), scanned A, original, no licence file.

A system-governance guide for testing API changes alongside live traffic and improving performance while enforcing cost and security limits. Shadow testing means trying a change without using its result for real users.

In plain words
What is it for?
Use it to run API shadow tests, compare performance, improve automated systems, and set financial and security limits.
Why use it?
It helps evaluate API improvements safely while keeping spending and security risks under control. The guardrails reduce the chance that optimisation work causes unexpected costs or unsafe behaviour.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to run API shadow tests, compare performance, improve automated systems, and set financial and security limits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/clowlove/hermes-house/engineering-autonomous-optimization-architect
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 clowlove/Hermes-House --skill engineering-autonomous-optimization-architect
Clone the repo
git clone --depth 1 https://github.com/clowlove/Hermes-House

Made for: Claude Code, Codex.

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 engineering-autonomous-optimization-architect

README.md
[![agentmods](https://agentmods.dev/badge/skills/clowlove/hermes-house/engineering-autonomous-optimization-architect/github.svg)](https://agentmods.dev/skills/clowlove/hermes-house/engineering-autonomous-optimization-architect)
Your own site
<a href="https://agentmods.dev/skills/clowlove/hermes-house/engineering-autonomous-optimization-architect"><img src="https://agentmods.dev/badge/skills/clowlove/hermes-house/engineering-autonomous-optimization-architect/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 engineering-autonomous-optimization-architect

Your own site · 80×15
<a href="https://agentmods.dev/skills/clowlove/hermes-house/engineering-autonomous-optimization-architect"><img src="https://agentmods.dev/badge/skills/clowlove/hermes-house/engineering-autonomous-optimization-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,840 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 unknown 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 $0.00040 $0.01840
Opus 5 $0.00020 $0.00920
Sonnet 5 $0.00008 $0.00368
Haiku 4.5 $0.00004 $0.00184

Measured 9d ago against content hash 7d40261d832c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

engineering-autonomous-optimization-architect 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/engineering-autonomous-optimization-architect/SKILL.md · 120 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

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.

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 · 120 lines · 40 tokens per session scan A 7d40261d832c

Subscribe to this mod's changes

engineering-autonomous-optimization-architect is a skill published in the GitHub repository clowlove/Hermes-House (15 stars, last pushed today), with no licence file. It adds 40 tokens to every session and 1,840 once invoked, about $0.0002 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 2026-08-30.

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