lean-ci-audit

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更新日2026年7月18日 15:25

Audit CI/CD pipelines for wasted compute — uncached builds, full test suites on every commit, redundant matrix jobs, artifacts and images kept forever, scheduled jobs running when nothing changed. Use this skill whenever the user shares CI configs (GitHub Actions, GitLab CI, Jenkins, CircleCI), complains about slow/expensive pipelines, or asks for a CI/CD efficiency or sustainability review. Part of Lean Agentic AI Skills; emits lean-findings.json.

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ソース

navveenb

navveenb/lean-agentic-ai-skills

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CI Green Audit

Producer skill. Input: pipeline config files, run-duration history if available. Output: lean-findings.json.

CI is compute that scales with team activity, not user value — every wasted pipeline minute is pure E with R=0. It is also the easiest place to win: config changes, no production risk.

Subject type: emit subject.type: "ci-pipeline" in findings.

Signatures

No dependency caching — installs from scratch each run (missing actions/cache, cache: keys, Docker layer cache). High (every run). Evidence: the absent config.
Test everything, always — full suite on every push including docs-only changes; no path filters, no test selection. High. Fix: path filters, affected-only test selection, split fast/slow suites (fast on PR, slow on merge).
Redundant triggers — same workflow on push AND pull_request for same commits; no concurrency-cancel for superseded runs. Medium-high. Fix: concurrency groups with cancel-in-progress.
Matrix sprawl — OS/version combinations no one supports. Medium; fix: prune to the support policy.
Scheduled jobs unconditionally — nightly builds that run when nothing changed. Medium; fix: short-circuit on no-diff.
Artifact/image hoarding — retention unset (default: long) for artifacts, caches, container tags. Medium, compounding storage.
Fat runners for light jobs — large runners on lint jobs. Low-medium.
No fail-fast — long jobs continuing after a determinative failure. Low.

Honesty rules

Test selection trades against missed-regression risk — recommend it with a safety net (full suite still runs on merge/nightly). Duration claims only from actual run history provided.

Cost signal (countable)

Cost driver: runner-minutes (or self-hosted node-hours). Where run-duration history is available, cost_signal.observed = current runner-minutes per week for the affected workflow; direction = qualitative. Frequency × duration is the real lever; both are countable from logs.

Not this skill's job

Code-level efficiency in the app itself (green-code-review), where runners are hosted (region-selector).

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navveenb/lean-agentic-ai-skills

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Audit AI evaluation infrastructure for wasted compute — full benchmark suites re-run on unchanged cases, LLM-as-judge grading without caching, oversized judge models, redundant eval passes per commit, and missing result reuse. Use this skill whenever the user shares eval harness configs or CI eval steps, complains that evals are slow or expensive, mentions LLM-as-judge costs, or runs benchmark suites on every change. Part of Lean Agentic AI Skills; emits lean-findings.json.

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api-efficiency-audit

navveenb/lean-agentic-ai-skills

Audit API design for chattiness and over-fetching — REST endpoints requiring N calls per screen, GraphQL resolvers with N+1 fan-out, default-everything payloads, missing pagination and field selection, provider-side polling where webhooks serve, and uncompressed responses. Use this skill whenever the user shares API schemas (OpenAPI, GraphQL SDL), resolver code, endpoint designs, or asks why clients make too many calls or payloads are heavy. Part of Lean Agentic AI Skills; emits lean-findings.json.

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caching-strategy-designer

navveenb/lean-agentic-ai-skills

Design caching layers so work is done once, not per request — HTTP/CDN caching, application-level caches (Redis/Memcached), computed-result caching, and cache-invalidation strategy. Use this skill whenever the user wants to add caching, asks why the same work is recomputed, designs a read-heavy system, or an audit skill (db-efficiency-audit, web-carbon-audit) flags uncached repeated work. Part of Lean Agentic AI Skills; emits a cache design plus lean-findings.json.

2026-07-184

carbon-aware-scheduler

navveenb/lean-agentic-ai-skills

Design time-shifting of flexible workloads (batch jobs, CI, training, backups, crons) to hours and regions when grid electricity is cleanest, using carbon-intensity signals like Electricity Maps, WattTime, or the Carbon Aware SDK. Use this skill whenever the user mentions carbon-aware computing, scheduling flexible/deferrable jobs, demand shifting, running workloads when energy is clean, or asks how to reduce the carbon intensity (not just amount) of their compute. Part of Lean Agentic AI Skills; emits schedule designs plus lean-findings.json.

2026-07-184

carbon-budget-designer

navveenb/lean-agentic-ai-skills

Design per-feature and per-service efficiency budgets — page-weight budgets, token budgets per AI feature, query budgets per endpoint, GPU-hour budgets per training project — with owners, review checkpoints, and enforcement hooks. Use this skill whenever the user wants sustainability targets for teams, asks how to keep efficiency from regressing organizationally, mentions performance-budget-style governance for carbon/energy, or is setting engineering standards. Part of Lean Agentic AI Skills; an advisor emitting budget definitions plus lean-findings.json.

2026-07-184

name

lean-ci-audit

description

CI Green Audit

Producer skill. Input: pipeline config files, run-duration history if available. Output: lean-findings.json.

CI is compute that scales with team activity, not user value — every wasted pipeline minute is pure E with R=0. It is also the easiest place to win: config changes, no production risk.

Subject type: emit subject.type: "ci-pipeline" in findings.

Signatures

No dependency caching — installs from scratch each run (missing actions/cache, cache: keys, Docker layer cache). High (every run). Evidence: the absent config.
Test everything, always — full suite on every push including docs-only changes; no path filters, no test selection. High. Fix: path filters, affected-only test selection, split fast/slow suites (fast on PR, slow on merge).
Redundant triggers — same workflow on push AND pull_request for same commits; no concurrency-cancel for superseded runs. Medium-high. Fix: concurrency groups with cancel-in-progress.
Matrix sprawl — OS/version combinations no one supports. Medium; fix: prune to the support policy.
Scheduled jobs unconditionally — nightly builds that run when nothing changed. Medium; fix: short-circuit on no-diff.
Artifact/image hoarding — retention unset (default: long) for artifacts, caches, container tags. Medium, compounding storage.
Fat runners for light jobs — large runners on lint jobs. Low-medium.
No fail-fast — long jobs continuing after a determinative failure. Low.

Honesty rules

Test selection trades against missed-regression risk — recommend it with a safety net (full suite still runs on merge/nightly). Duration claims only from actual run history provided.

Cost signal (countable)

Not this skill's job

Code-level efficiency in the app itself (green-code-review), where runners are hosted (region-selector).