| name | ci-metrics |
| description | Fallback loader for the canonical PyTorch ci-metrics skill. Use for CI duration, failures, queue times, workflow trends, runner health, or dashboard data only when the canonical instructions are not already loaded and no accessible pytorch/pytorch checkout contains them. |
PyTorch CI Metrics Loader
The canonical skill is pytorch/pytorch/.claude/skills/ci-metrics/SKILL.md; this loader does not count. Choose one instruction source in this order:
- If the canonical instructions are already loaded in the current agent context, follow them directly. A skill catalog entry alone does not count as loaded instructions.
- If an accessible
pytorch/pytorch checkout contains .claude/skills/ci-metrics/SKILL.md, read and follow that file, resolving relative paths from its directory. Check the current workspace and already-known checkout locations; do not crawl the filesystem looking for a clone.
- Otherwise, fetch a fresh temporary copy from
pytorch/pytorch as shown below. Never reuse a previous download or another vendored copy.
dir=$(mktemp -d)
base=https://raw.githubusercontent.com/pytorch/pytorch/main/.claude/skills/ci-metrics
curl -fsSL "$base/SKILL.md" -o "$dir/SKILL.md"
curl -fsSL "$base/gcx-wrapper.sh" -o "$dir/gcx-wrapper.sh"
chmod +x "$dir/gcx-wrapper.sh" && echo "$dir"
Read the selected SKILL.md as a file and follow it as the authoritative instructions; do not invoke a skill named ci-metrics from this loader, because that may select this loader again. For a downloaded copy, resolve paths such as gcx-wrapper.sh against the printed directory. If it references a file not fetched above, download it from $base/<path>. If any download fails, stop and report the error instead of falling back to stale instructions.
