agentic-eval

agentic-eval is a skill for Claude Code, Codex from MarieLynneBlock/arcanum-artifex. It costs 46 tokens per session (2,374 once invoked), scanned A, original, no licence file.

A guide for building repeatable checks that measure how well an AI agent performs tasks. It covers scoring methods, review by another language model, self-review, and tracking repeated attempts.

In plain words
What is it for?
Use it to design evaluation loops, score agent results against a rubric, compare revisions, check whether results have converged, and record each improvement cycle.
Why use it?
It helps reveal whether an agent is actually improving instead of relying on casual inspection. It also gives structure to deciding when an agent has improved enough to stop.

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 design evaluation loops, score agent results against a rubric, compare revisions, check whether results have converged, and record each improvement cycle.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/marielynneblock/arcanum-artifex/agentic-eval
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 MarieLynneBlock/arcanum-artifex --skill agentic-eval
Clone the repo
git clone --depth 1 https://github.com/MarieLynneBlock/arcanum-artifex

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 agentic-eval

README.md
[![agentmods](https://agentmods.dev/badge/skills/marielynneblock/arcanum-artifex/agentic-eval/github.svg)](https://agentmods.dev/skills/marielynneblock/arcanum-artifex/agentic-eval)
Your own site
<a href="https://agentmods.dev/skills/marielynneblock/arcanum-artifex/agentic-eval"><img src="https://agentmods.dev/badge/skills/marielynneblock/arcanum-artifex/agentic-eval/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 agentic-eval

Your own site · 80×15
<a href="https://agentmods.dev/skills/marielynneblock/arcanum-artifex/agentic-eval"><img src="https://agentmods.dev/badge/skills/marielynneblock/arcanum-artifex/agentic-eval.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,374 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 $0.00046 $0.02374
Opus 5 $0.00023 $0.01187
Sonnet 5 $0.00009 $0.00475
Haiku 4.5 $0.00005 $0.00237

Measured 10d ago against content hash 1b41a4e8a4e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

agentic-eval 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 10d 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/agentic/agentic-eval/SKILL.md · 295 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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. 10d ago First seen · 295 lines · 46 tokens per session scan A 1b41a4e8a4e3

Subscribe to this mod's changes

agentic-eval is a skill published in the GitHub repository MarieLynneBlock/arcanum-artifex (4 stars, last pushed 5d ago), with no licence file. It adds 46 tokens to every session and 2,374 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 2026-08-31.