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Review perf

Skill gtrabanco/agentic-workflow/skills/review-perf

Stack-agnostic agentic-programming workflow skills + documentation scaffold

Install
npx -y skills add gtrabanco/agentic-workflow --skill review-perf

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 19 stars19 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Internal performance review pass of the agentic-workflow review pack — composed in-turn by review-change and product-audit; not a menu entry. Checks the changed paths for algorithmic and resource regressions: N+1s, hot-path allocations, asset weight, and leaks. Findings only; never edits code.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.6 KB, as published. Nobody here has run it

Review Performance (internal)

Composed by review-change / product-audit within their conversation — on any agent, follow this file inline as the routed step. Findings only; never edits, never refactors.

Scope

The diff or path/glob the caller passes; default the current change vs the default branch. State the scope at the top of the returned table.

Checklist (evaluate EVERY item — none is optional; n/a must be stated)

  • ✓ No N+1 query/IO pattern on changed data-access paths (loop bodies issuing queries/requests — cite)
  • ✓ Algorithmic complexity of new code paths stated where input can grow (an unbounded O(n²) on user data is a major finding)
  • ✓ No blocking IO/sync work added on hot/request paths where the platform is async
  • ✓ Resources opened by the change are closed/released on ALL paths including errors (files, connections, subscriptions, timers)
  • ✓ No unbounded growth introduced (caches without eviction, arrays that only append, listeners never removed)
  • ✓ Web only: bundle/asset impact of the change stated (new dep size, image weight, lazy-loading where the project uses it) — n/a otherwise
  • ✓ Repeated computation hoisted where a loop recomputes an invariant (cite)
  • ✓ Pagination/limits on any new listing that reads user-scaled data
  • ✓ No premature optimization either: complexity added for speed without a cited measurement is a finding (the repo forbids overengineering)
  • Measured evidence when declared — the project's agent guide declares a Performance commands block with a bench command AND the diff touches paths its benchmarks cover: RUN the benchmark on the base branch and on the change, and cite both numbers in Evidence as <cmd> → base <x> / change <y> (<±z%>). A regression beyond the noise band (the project's declared band, else ±5%) is a major finding; a delta inside the band is no finding. The declared command failing (non-zero exit) is itself a finding (the gate can't measure) — never silently skipped.
  • No declared perf commands → state exactly n/a — no declared perf commands for the item above (never skip it silently), and if the diff adds algorithmic code on input that can grow, add a minor finding recommending the project adopt the tooling via init-workspace's Performance tooling round.

Return exactly

REVIEW PERF — scope: <scope>

| # | Finding | Sev | Evidence | Suggested fix |
|---|---------|-----|----------|---------------|
| 1 | <what>  | critical|major|minor | <file:line — or, for measured findings, `<cmd> → base <x> / change <y> (<±z%>)`> | <smallest action> |

Checklist: <n> evaluated, <n> pass, <n> findings, <n> n/a (<which + why>)
Summary: <1-2 sentences>
Decision: PASS | FAIL

FAIL if any critical or major finding is open; PASS otherwise. Minor findings never block — they route to the caller's triage step.

Done when

  • Every checklist item was evaluated with evidence (file:line or command output) or explicitly marked n/a with the reason.
  • The fixed-format block above is returned — nothing more, nothing less — and no code was changed.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.