Skip to content
Agentmart
Submit a tool

eval

Run real tests or evals against a plan file, store results per version and compare with the previous baseline.

Skill by smlfg

IndexedMIT
Write a review

Chalk Labs

Need help deploying eval?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/smlfg-eval

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Run real tests or evals against a plan file, store results per version and compare with the previous baseline. Use when the user wants to evaluate a version of a system rather than review its code.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/eval

What's inside

Skill name
eval
Description
Run real tests or evals against a plan file, store results per version and compare with the previous baseline. Use when the user wants to evaluate a version of a system rather than review its code.
License
MIT
Instructions
21 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Eval

1. Read the plan file the user names.
2. **Always run actual tests** (pytest or the project's eval framework). Never evaluate by code review alone.
3. Write results into that version's eval folder (e.g. `evals/<version>/`).
4. Compare against the previous version's baseline and call out regressions first.
5. Commit the results with the message `eval: <version> - <summary>` (only if the user allows commits in this repo).

## Example

```text
evals/v0.4/results.json   42/50 pass (v0.3: 39/50)
Regressions: case_17 (date parsing), case_31 (empty input)
Improvements: case_02, case_09, case_22, case_40, case_44
```

## Use case

You iterate on a prompt pipeline and keep claiming "v4 feels better". `/eval plan.md` runs the same suite on v4, writes the numbers next to v3's, and tells you exactly which cases got worse.

From smlfg/HAI-skills-registry, MIT.

More from smlfg/HAI-skills-registry

Signals

Stars
0
Forks
0
Open issues
0
Last commit (this folder)
Oct 15, 2026 (16 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from smlfg

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get eval running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying eval?

CallGet help
Cite this page

eval skill. Agent Mart. https://agentmart.dev/skills/smlfg-eval (last updated 2026-10-24)