eval

eval is a skill for Claude Code, Codex from epicsagas/epic-harness. It costs 41 tokens per session (2,089 once invoked), scanned A, original, Apache-2.0.

A quality and performance check with comparisons against an existing baseline, meaning a reference result used to detect change.

In plain words
What is it for?
Use it before release or after feature work to run tests, optional speed and memory checks, lint and quality checks, and baseline comparisons.
Why use it?
It shows whether a change passes, needs attention, or fails for correctness, speed, code quality, or regressions.

Skill for Claude CodeCodex

Part of the epic plugin — 27 skills shipped together

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.

agentmods
npx agentmods add skills/epicsagas/epic-harness/eval
Any agent
npx skills add epicsagas/epic-harness --skill eval
Clone the repo
git clone --depth 1 https://github.com/epicsagas/epic-harness

Made for: Claude Code, Codex.

Or install epic, the plugin that ships this one along with the rest of its 27 skills.

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 eval

README.md
[![agentmods](https://agentmods.dev/badge/skills/epicsagas/epic-harness/eval.svg)](https://agentmods.dev/skills/epicsagas/epic-harness/eval)
Your own site
<a href="https://agentmods.dev/skills/epicsagas/epic-harness/eval"><img src="https://agentmods.dev/badge/skills/epicsagas/epic-harness/eval.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,089 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00041 $0.02089
Opus 5 $0.00020 $0.01045
Sonnet 5 $0.00008 $0.00418
Haiku 4.5 $0.00004 $0.00209

Measured 4d ago against content hash 8c0062e70d10, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 4d 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/eval/SKILL.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Eval — Quality & Regression Gate

CRITICAL: Run HARNESS_DIR=$(epic path) first. Never use .harness/ in the project directory.

When to Trigger

  • Before /ship creates a PR (automatic if eval.yaml exists)
  • After /go completes a feature
  • On explicit /eval command
  • When user mentions "regression", "baseline", "eval suite", "quality check"
  • CI: make eval or epic eval --json

Execution Modes

4 dimensions run in parallel where possible:

  1. eval:correctness — Test pass rate, mutation score, assertion density
  2. eval:performance — Throughput, latency, memory (opt-in)
  3. eval:quality — Lint, code quality, LLM-as-judge
  4. eval:regression — Baseline comparison, score deltas

Process

Step 0: Prerequisites

HARNESS_DIR=$(epic path)

If $HARNESS_DIR/eval/eval.yaml does not exist, run scaffold:

epic eval --init

Read the config:

cat $HARNESS_DIR/eval/eval.yaml

Step 0.5: Scaffold benchmarks (when no benchmark infrastructure exists)

If eval.yaml has benchmarks: [] and no benchmark files are found in the project:

  1. Generate stub files using the CLI:

    epic eval --scaffold
    

    Supported stacks (auto-detected from project markers):

    Stack Detected by Generated file Output format
    Rust Cargo.toml benches/eval_harness.rs criterion (exit code)
    Python pyproject.toml / setup.py benchmarks/eval_runner.py JSON composite
    TypeScript tsconfig.json benchmarks/eval.ts JSON composite
    Node.js package.json benchmarks/eval.mjs JSON composite
    Go go.mod benchmarks/eval_test.go JSON composite
    Java pom.xml / build.gradle benchmarks/EvalBenchmark.java exit code
    Kotlin build.gradle.kts benchmarks/EvalBenchmark.kt exit code
    Ruby Gemfile benchmarks/eval_benchmark.rb JSON composite
    PHP composer.json benchmarks/eval_benchmark.php JSON composite
    C# *.csproj / *.sln Benchmarks/EvalBenchmark.cs JSON composite
    Swift Package.swift benchmarks/EvalBenchmark.swift JSON composite
    Elixir mix.exs benchmarks/eval_benchmark.exs JSON composite
    C++ CMakeLists.txt benchmarks/eval_benchmark.cpp exit code

Read the full file on GitHub · 210 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. 4d ago First seen · 210 lines · 41 tokens per session scan A 8c0062e70d10

Subscribe to this mod's changes

eval is a skill published in the GitHub repository epicsagas/epic-harness (17 stars, last pushed today), licensed Apache-2.0. It adds 41 tokens to every session and 2,089 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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