get-available-resources
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Detects 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.
- Package
- 9 files, 141 KB
- SKILL.md
- 1411 words, 12+ sections
- Code
- Python (5)
- License
- MIT
- Compatibility
- Python 3.11+ on Linux, macOS, or Windows; standard library by default, optional psutil 7.2.2; accelerator management CLIs are optional read-only probes.
SKILL.md covers: Get Available Resources · Safety contract · Quick start · Ephemeral stdout snapshot · Explicit private file · Optional psutil enhancement · Skip management-tool probes · Required interpretation · CPU · Memory · Accelerators · Disk
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 11 KB |
references/resource_semantics.md | doc | 11 KB |
references/snapshot_schema.md | doc | 6.4 KB |
references/sources.md | doc | 8.2 KB |
scripts/_common.py | script | 6.4 KB |
scripts/accelerator_diagnostics.py | script | 4.5 KB |
scripts/detect_resources.py | script | 65 KB |
scripts/plan_workload.py | script | 11 KB |
scripts/snapshot_tools.py | script | 18 KB |
External hosts referenced
github.com docs.nvidia.com developer.apple.com learn.microsoft.com rocm.docs.amd.com slurm.schedmd.com arxiv.org docs.kernel.org psutil.readthedocs.io docs.docker.com docs.python.org doi.org export.arxiv.org pypi.org
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-get-available-resources-scan.json
- Badge for your README:
- Request a re-scan