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perf: optimize workflow audits by batching yq commands
Optimized workflow-step-id-kebab-case.yml and workflow-job-id-kebab-case.yml by replacing inefficient shell loops with batched yq calls. Performance impact: - Reduced audit time from ~100s to ~180ms (approx. 500x faster). - Eliminated process startup overhead for 600+ yq calls. Signed-off-by: Jules Agent <jules@example.com> Co-authored-by: christopherfoxjr <213370400+christopherfoxjr@users.noreply.github.com>
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.Jules/bolt.md

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## 2025-05-15 - [YAML Validation Speed]
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**Learning:** In repositories with a massive number of small YAML files (570+ workflows in this case), the pure-Python `yaml.safe_load` becomes a significant bottleneck. `yaml.CSafeLoader` is ~7x faster and drastically reduces execution time.
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**Action:** Always prefer `CSafeLoader` with a fallback for YAML-heavy scripts in this environment.
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## 2025-05-15 - Batching yq commands vs Python overhead
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**Learning:** Auditing a large number of YAML files (600+) using a shell loop with `yq` is extremely slow (~100s) due to process startup overhead. However, replacing it with a Python script in CI introduces a `pip install PyYAML` overhead (~1.5s). Batching all files in a single `yq` call (e.g., `yq '.query' .github/workflows/*.yml`) is the most efficient approach (~180ms) as `yq` is pre-installed on GitHub runners.
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**Action:** Always prefer batching file arguments for pre-installed tools like `yq` or `grep` before reaching for embedded scripts with external dependencies.

.github/workflows/workflow-job-id-kebab-case.yml

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steps:
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- name: Checkout repository
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- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
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with:
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persist-credentials: false
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- name: Verify job IDs are kebab-case
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run: |
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set -euo pipefail

.github/workflows/workflow-step-id-kebab-case.yml

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timeout-minutes: 5
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steps:
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- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
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with:
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persist-credentials: false
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- name: Verify kebab-case IDs
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run: |
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set -euo pipefail

.jules/bolt.md

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