run-evals

run-evals is a skill for Claude Code, Codex from Devin-AXIS/iPolloWork. It costs 70 tokens per session (900 once invoked), scanned A, original, no licence file.

A workflow for launching a real iPolloWork application and running scripted evaluation flows against it.

In plain words
What is it for?
Use it to start iPolloWork and run evaluation flows; use the fraimz workflow as well when the task needs a verdict and evidence.
Why use it?
It helps check application behavior through coded tests instead of relying only on inspection or mock data.

Skill for Claude CodeCodex

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/devin-axis/ipollowork/run-evals
Any agent
npx skills add Devin-AXIS/iPolloWork --skill run-evals
Clone the repo
git clone --depth 1 https://github.com/Devin-AXIS/iPolloWork

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 run-evals

README.md
[![agentmods](https://agentmods.dev/badge/skills/devin-axis/ipollowork/run-evals.svg)](https://agentmods.dev/skills/devin-axis/ipollowork/run-evals)
Your own site
<a href="https://agentmods.dev/skills/devin-axis/ipollowork/run-evals"><img src="https://agentmods.dev/badge/skills/devin-axis/ipollowork/run-evals.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 900 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00070 $0.00900
Opus 5 $0.00035 $0.00450
Sonnet 5 $0.00014 $0.00180
Haiku 4.5 $0.00007 $0.00090

Measured 4d ago against content hash 7924f190ca9a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

run-evals scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsS "<CDP_URL>/json/list" # must include an iPolloWork page target
.opencode/skills/run-evals/SKILL.md · 90 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. 4d ago First seen · 90 lines · 70 tokens per session scan A 7924f190ca9a

Subscribe to this mod's changes

run-evals is a skill published in the GitHub repository Devin-AXIS/iPolloWork (5,300 stars, last pushed today), with no licence file. It adds 70 tokens to every session and 900 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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