Skill

finops-workflows

Analyzes GitHub Actions workflow runs in repos or orgs for frequency, duration, success rates, and efficiency. Flags high-frequency runs, failures, and suggests CI/CD optimizations.

GitHub Actions

npx claudepluginhub laurigates/claude-plugins --plugin finops-plugin

Popularity

Parent stars

Parent forks

Invocation

How this skill is triggered — by the user, by Claude, or both

Slash command

/finops-plugin:finops-workflows

User invocable

Model invocable

Inline context

Default effort

Uses dynamic context injection — preprocesses shell commands at runtime

Configuration

Modelhaiku

Tool Access

This skill is limited to the following tools:

Bash(gh api *)Bash(gh workflow *)Bash(gh repo *)Bash(bash *)ReadTodoWrite

Context Preview

The summary Claude sees in its skill listing — used to decide when to auto-load this skill

Analyze GitHub Actions workflow runs for a repository - frequency, duration, success rates, and efficiency metrics.

Supporting Files

scripts/workflow-runs-org.shscripts/workflow-runs.sh

SKILL.md

90 lines · ~611 tokens

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Stats

LanguagePython

Parent stars34

Parent forks5

MaintenanceExcellent

Last CommitMar 9, 2026

Actions

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Share bugs, ideas, or general feedback.

Stats

Actions

Help us improve

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/finops:workflows

Analyze GitHub Actions workflow runs for a repository - frequency, duration, success rates, and efficiency metrics.

Context

Current repo URL: !git remote get-url origin

Parameters

Parameter

Description

Default

repo

Repository in owner/name format

Current repository

--created

Date range filter (e.g., >=2026-03-01)

None (last 100 runs)

org <name>

Org-wide analysis (use instead of repo)

Execution

Per-repo analysis (default)

bash "${SKILL_DIR}/scripts/workflow-runs.sh" $ARGS

Org-wide analysis

When the user requests org-wide analysis, use the org script:

bash "${SKILL_DIR}/scripts/workflow-runs-org.sh" $ARGS

Output Format

Analyzing workflows for: org/repo === Active Workflows === CI (id: 12345) Deploy (id: 12346) CodeQL (id: 12347) === Run Summary === CI: Total: 156 | Success: 140 | Failure: 10 | Cancelled: 4 | Skipped: 2 Success rate: 89% Deploy: Total: 45 | Success: 44 | Failure: 1 | Cancelled: 0 | Skipped: 0 Success rate: 97% === Duration Analysis === CI: Runs: 50 | Avg: 4m32s | Max: 12m15s | Total: 226min Deploy: Runs: 20 | Avg: 2m10s | Max: 3m45s | Total: 43min === Trigger Types === push: 89 runs pull_request: 67 runs schedule: 30 runs workflow_dispatch: 5 runs === Recent Failures (last 10) === #234 CI - 2025-01-28 - https://github.com/org/repo/actions/runs/... #231 CI - 2025-01-27 - https://github.com/org/repo/actions/runs/... === High Frequency Workflows === CI: 156 runs (~5.2/day) - consider path filters

Post-actions

Based on findings, suggest:

High failure rate -> Investigate recent failures, check logs with gh run view --log-failed

High frequency -> Review trigger conditions, add path filters

Long durations -> Review caching, parallelization, step optimization

Many skipped -> Run /finops:waste for detailed analysis