Generate evaluation scenarios that measure whether agents follow instructions from skills.
Prerequisites
Skills must be packaged in a Tessl tile (directory with tile.json + skill folders). If not, use the converting-skill-to-tessl-tile skill first. Ask the user where to put the tile if its not specified.
Its possible for a tile to contain multiple skills. In this case, split the tile into multiple tiles, one for each skill first.
Quick Start
Read references/scenario-generation.md before starting. It will guide you through the workflow of researching the tile and creating all the expected files in the correct formats.
Output Structure
<tile>/evals/
├── instructions.json # Json containing list of all instructions in the skill
├── summary.json # Feasible scenarios
├── summary_infeasible.json # Infeasible capabilities (no folders)
└── scenario-N/
├── task.md # Goal description (may include inlined inputs)
├── criteria.json # Scoring rubric (must sum to 100)
└── capability.txt # Single line: capability being tested
Eval Constraints
The eval is one-shot and file-based:
- No proprietary software is preinstalled, or any API_keys, or any additional files
- Agent receives task → produces output files in its working directory
- Scorer reviews just the files the agent created (source code, outputs, etc.)
- NO observation of agent process during execution
- NO interactive back-and-forth The eval will time out if the scenario takes too long to complete or leaves any large files on disk at the end.
Mark capabilities as infeasible if they won't work in this sandbox.
Running Evals
Once ready, you can trigger the eval run on the tessl platform.
tessl eval run <path/to/tile>
tessl eval view-status <status_id> --json
tessl eval list