Borrowing it
Nothing to install: this file belongs to IvanWng97/pixtuoid. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/IvanWng97/pixtuoid/main/.claude/skills/local-review/SKILL.mdgit clone --depth 1 https://github.com/IvanWng97/pixtuoidWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ivanwng97/pixtuoid/local-review)<a href="https://agentmods.dev/skills/ivanwng97/pixtuoid/local-review"><img src="https://agentmods.dev/badge/skills/ivanwng97/pixtuoid/local-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ivanwng97/pixtuoid/local-review"><img src="https://agentmods.dev/badge/skills/ivanwng97/pixtuoid/local-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.01464 |
| Opus 5.5 | $0.00038 | $0.00586 |
| Sonnet 5.5 | $0.00019 | $0.00293 |
| Haiku 4.5 | $0.00010 | $0.00146 |
Grade A, and why
local-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 17d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
local-review — local orchestration of REVIEW.md
Every rule is REVIEW.md's; fill briefs from it, never a
paraphrase here.
When to run
- Diff scope: the diff matches a REVIEW.md escalation row marked local. The correctness and design lenses are the automatic review's; never re-run them here.
- Whole-codebase scope: "audit the repo", a pre-release or periodic sweep.
Diff scope
-
Isolate the branch in a worktree (two sessions on one tree race on HEAD). Note
path,branch,baseandheadsha. -
Dispatch one lens per matching local row, in parallel, in the background:
model: sonnetfor a lens that reads evidence or runs a mechanical check (test lists, mutations, renders, a walk),opusonly for a design gate. Each briefed:You are the <row> lens for <PR/branch> on pixtuoid. Worktree: <path> (branch <name>, base <sha>, head <sha>), read-only; stop if HEAD is not that head. Diff: git -C <path> diff <base>..<head>. Read AGENTS.md, then apply REVIEW.md's <row> and its Common section. <change-specific claims (from the PR body's impl-plan answers) or design questions, one per line> Run the applicable gates; report each exit code as observed, never through a pipe. Each finding carries an integer confidence 0–100. Your final message is the report, ending in one verdict: APPROVE or REQUEST-CHANGES.The filled slots are the quality lever; a lazily filled one turns every lens generic.
-
Collect and verify. A one-word or placeholder return is a STUB, not a review: re-run that lens alone (#455). Verify every finding's premise yourself before coding a fix — read the comments on the item it names first — and REFUTE deliberate design with its mechanism.
-
Fold accepted findings into ONE commit, with a
plan-miss:line per finding the plan never named. -
Disposition each finding in a review thread. The bots open theirs; open each local finding the same way, then reply and resolve:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 17d ago Changed · +3 lines · +2 tokens per session c781c432a29f
- 22d ago First seen · 101 lines · 93 tokens per session scan A 1c3330a14993
local-review is a skill published in the GitHub repository IvanWng97/pixtuoid (491 stars, last pushed 15d ago), licensed MIT. It adds 95 tokens to every session and 1,464 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-05.
Other skills, from other repositories
cmd-review
Review the current diff or selected files (usage: /review [instructions | --last-diff | --target | --file | files...] [--style ]).
simplicio-orient
Terminal-first execution — answer facts with the shell, never with the LLM. Use whenever a step needs a fact about the filesystem, git, processes, or system resources, or runs a build/test/lint/diff whose output would flood context. Substitutes deterministic shell/CLI calls for native LLM operations and clamps their…
gh-find-prs
Survey open Codewhale PRs and triage each for mergeability and disposition against the real landing branch.
codew-release-qa-sweep
Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.
review
Diff-scoped correctness review that reads the codebase around the change — callers, contracts, and invariants — and returns line-anchored findings ranked by severity with confidence, then a merge-risk verdict. Use for reviewing a PR, diff, or named change set. Not for style review, approvals-as-rubber-stamp, or…
cw-slice
Use before writing code for any Codewhale feature, upgrade, or refactor: find the existing owner of the behavior, bound the change to one reviewable slice, and fix the evidence bar before you start.