Individual skill
get-available-resources
Detect host inventory and effective CPU, memory, disk, scheduler, container, and accelerator limits when a user asks for resource-aware planning or before a clearly resource-sensitive local workload. Produces a redacted JSON snapshot and conservative planning helpers without stress tests or assuming visible host hardware is usable.
plugins/KalarisLabs/research-agent-skills/skills/get-available-resources/SKILL.md
Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61
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- Observed behavior
- Not checked yet
- Last checked
- Nov 4, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,537
- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-coding Repository topic
- awesome Repository topic
- awesome-list Repository topic
- codex Repository topic
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- openai Repository topic
- codex-skill Repository topic
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- compute-resources,-gpu-detection,-resource-planning,-hpc Declared skill tag
- engineering Derived category
- devops Derived category
- devops-containers Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 11,374 bytesSKILL.mdcore · 11,374 bytesSKILL.mdcore · 11,374 bytesSKILL.mdcore · 11,374 bytesSKILL.mdcore · 11,374 bytesSKILL.mdcore · 11,374 bytesSKILL.mdcore · 11,374 bytesSKILL.mdcore · 11,374 bytesSKILL.mdcore · 11,374 bytesSKILL.mdcore · 11,374 bytesSKILL.mdcore · 11,374 bytesreferences/resource_semantics.mddoc · 9,180 bytesreferences/snapshot_schema.mddoc · 5,606 bytesreferences/sources.mddoc · 7,277 bytesscripts/_common.pyruns · 6,068 bytesscripts/accelerator_diagnostics.pyruns · 4,623 bytesscripts/detect_resources.pyruns · 59,840 bytesscripts/plan_workload.pyruns · 10,799 bytesscripts/snapshot_tools.pyruns · 16,960 bytes
Read excerpt
# Get Available Resources
Build a conservative picture of resources available to the **current process**.
Keep host inventory, process affinity, cgroup/container limits, scheduler
allocation, and accelerator runtime usability separate.
## Safety contract
Follow these rules:
- Run detection when the user requests it or a specific workload needs resource
planning. Do not persist a fingerprint for every scientific task.
- Use stdout by default. Persist only when the user chooses an explicit generic
local filename.