Run Evals

Community

danielvm-git

run-evals

Eval-Driven Development — define capability and regression evals before building; code graders use verify commands, model graders use explicit rubrics; log pass@k. Use before develop-tdd on new features, or when measuring agent capability over runs.

Overview

Publisher	danielvm-git
Repository	`bigpowers`
Skill name	`run-evals`
Stars	206
Forks	18
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by danielvm-git on GitHub. Read the source before you install it.

Installation

Install the Run Evals AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/danielvm-git/bigpowers.git /tmp/bigpowers
mkdir -p .claude/skills
cp -r /tmp/bigpowers/skills/run-evals .claude/skills/run-evals

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Run Evals in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Run Evals on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Run Evals is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Run Evals

HARD GATE — Define evals before implementation. Code graders = runnable verify: commands; model graders = explicit rubric with pass/fail criteria.

Process

Name the capability under test (one sentence).
Write specs/EVALS-<feature>.md with:
- Capability evals (does it do the job?)
- Regression evals (did we break anything?)
Assign grader type per eval: code (shell verify) or model (rubric).

Assign strictness tier per eval (graduated promotion — e45s37):

Tier	Meaning	Promotion rule
`EXPERIMENTAL`	New eval, may flake	Not gating
`USUALLY_PASSES`	Stable in dev; ≥2/3 recent runs pass	Blocks BUILD only when combined with ALWAYS_PASSES suite
`ALWAYS_PASSES`	Zero tolerance; required for release	Any single failure blocks BUILD and merge

Promote: EXPERIMENTAL → USUALLY_PASSES after 3 consecutive passes; USUALLY_PASSES → ALWAYS_PASSES after 5 consecutive passes with zero flakes documented in specs/state.yaml.

Run evals; log results table with pass@k (e.g. 3/3 runs) and tier per eval.
Block BUILD phase until all ALWAYS_PASSES evals pass at agreed k. USUALLY_PASSES failures warn; EXPERIMENTAL failures log only.

Artefact

specs/verifications/eNNsYY-eval-report.md — see REFERENCE.md for template. Eval reports are stored alongside verification evidence in specs/verifications/, keyed by story ID for traceability.

Verify

→ verify: test -d specs/benchmarks && test -f specs/benchmarks/SCHEMA.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

REFERENCE.md1 KB

Frequently asked questions

What does the Run Evals AI skill do?

Why use Run Evals on TypingMind?

Because you install it once and use it with any model. Run Evals is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Run Evals in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielvm-git/bigpowers/tree/main/skills/run-evals. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Run Evals?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Run Evals?

As many as you like. As long as a model supports skills, you can use Run Evals with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Run Evals AI skill free?

Yes. It is published on GitHub by danielvm-git under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Run Evals

Process

Artefact

Verify

Bundled files

Frequently asked questions

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