prompt-evaluation-engineer

prompt-evaluation-engineer is a skill for Claude Code, Codex from nivlewd1/prompt-optimizer. It costs 29 tokens per session (1,287 once invoked), scanned A, original, no licence file.

A testing guide for AI prompts. It defines what a prompt should produce, creates test cases, and examines the results for quality.

In plain words
What is it for?
Writing evaluation rules, building prompt test matrices, and reviewing AI outputs for quality assurance.
Why use it?
It turns vague prompt checking into repeatable tests that can reveal inconsistent or unsuitable answers.

Skill for Claude CodeCodex

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

Good fit Writing evaluation rules, building prompt test matrices, and reviewing AI outputs for quality assurance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nivlewd1/prompt-optimizer/prompt-evaluation-engineer
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 nivlewd1/prompt-optimizer --skill prompt-evaluation-engineer
Clone the repo
git clone --depth 1 https://github.com/nivlewd1/prompt-optimizer

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 prompt-evaluation-engineer

README.md
[![agentmods](https://agentmods.dev/badge/skills/nivlewd1/prompt-optimizer/prompt-evaluation-engineer/github.svg)](https://agentmods.dev/skills/nivlewd1/prompt-optimizer/prompt-evaluation-engineer)
Your own site
<a href="https://agentmods.dev/skills/nivlewd1/prompt-optimizer/prompt-evaluation-engineer"><img src="https://agentmods.dev/badge/skills/nivlewd1/prompt-optimizer/prompt-evaluation-engineer/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 prompt-evaluation-engineer

Your own site · 80×15
<a href="https://agentmods.dev/skills/nivlewd1/prompt-optimizer/prompt-evaluation-engineer"><img src="https://agentmods.dev/badge/skills/nivlewd1/prompt-optimizer/prompt-evaluation-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,287 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 $0.00029 $0.01287
Opus 5.5 $0.00012 $0.00515
Sonnet 5.5 $0.00006 $0.00257
Haiku 4.5 $0.00003 $0.00129

Measured 2mo ago against content hash a2048dc2b628, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prompt-evaluation-engineer 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 2mo 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.

skill/prompt-evaluation-engineer/SKILL.md · 103 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

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. 2mo ago First seen · 103 lines · 29 tokens per session scan A a2048dc2b628

Subscribe to this mod's changes

prompt-evaluation-engineer is a skill published in the GitHub repository nivlewd1/prompt-optimizer (13 stars, last pushed yesterday), with no licence file. It adds 29 tokens to every session and 1,287 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 2026-08-31.

Related

prompt-evaluation-engineer compared with skills from other repositories

prompt-evaluation-engineer next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
prompt-evaluation-engineernivlewd1/prompt-optimizerSkill13yesterdaynoneA29Claude Code, Codex
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tersify-promptrp1-run/rp1Skill3813d agoApache-2.0A21Claude Code
dspyOpenLAIR/dr-clawSkill1.2kyesterdaynoneA46Claude Code, Codex
dspyOrchestra-Research/AI-Research-SKILLsSkill14k26d agoMITA35Claude Code
dspysynthetic-sciences/openscienceSkill4.3k2d agoApache-2.0A35Claude Code, Codex
dspymateaix/mateclawSkill1.2kyesterdayApache-2.0A19Claude Code, Codex