Individual skill
eval-runner
Run eval scenarios to benchmark Mycelium effectiveness. Execute tasks using reflexion loop, validate against success criteria, record metrics.
plugins/mycelium/skills/eval-runner/SKILL.md
Source commit d44421b0667bb71ad515ae7576dfc0f47b00504f
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 51
- Repository last updated
- Nov 6, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude-code Repository topic
- ai-agent Repository topic
- delivery Repository topic
- devops Repository topic
- discovery Repository topic
- product-development Repository topic
- product-management Repository topic
- claude-code-skills Repository topic
- dora-metrics Repository topic
- product-discovery Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 4,277 bytes
Read excerpt
# Eval Runner
Benchmark the agent's performance against defined scenarios. Adapted from n-trax eval system.
## Commands
### `run <category/name>`
1. Read YAML from `.claude/evals/scenarios/<category>/<name>.yml`
2. Parse fields (name, category, task_prompt, success_criteria, budget)
3. Execute setup steps if defined
4. Record start time
5. Execute task via reflexion workflow (read corrections first)
6. Record end time and iteration count
7. Validate ALL success criteria