By name: environment-discovery description: Strategies for quickly discovering what tools, languages, data files, and skills are available in a SkillBench container.
Environment Discovery Skill
When starting a new SkillBench task, quickly assess the environment before writing code.
1. Check available skills first
list_skills
If any skill names relate to the task, load them immediately — they often contain critical instructions.
2. Check available tools and languages
which python3 pip3 node npm gcc g++ make cmake R java rustc go 2>/dev/null
python3 --version 2>/dev/null
pip3 list 2>/dev/null | head -30
3. Check the workspace
pwd
ls -la /root/
file /root/* 2>/dev/null | head -20
4. Check OS and package manager
cat /etc/os-release 2>/dev/null | head -5
which apt-get yum dnf apk 2>/dev/null
5. Inspect data files
# Check CSV/JSON/YAML files
head -5 /root/*.csv 2>/dev/null
head -20 /root/*.yaml /root/*.yml /root/*.json 2>/dev/null
wc -l /root/*.csv 2>/dev/null
Tips
- Most containers are Ubuntu-based with apt-get
- Data files referenced in the task are usually in
/root/ - If you need extra packages, install them with
pip3 install --break-system-packages <pkg> - Check for pre-installed domain-specific tools (e.g., libreoffice, ffmpeg, erlang)