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Skills/gjkim42/kanon-repo/review-all
review-all logo

review-all

gjkim42/kanon-repo
823 installs0 stars
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Installation

npx skills add https://github.com/gjkim42/kanon-repo --skill review-all

Summary

>-

SKILL.md

Review All - two clean-agent code review

What this does, and why it has this shape

Two independent reviewers examine the same change, then their findings are reconciled. The value is not "two reviews"; it is the agreement signal: when both clean agents independently flag the same issue, confidence is high. When only one flags something, it deserves scrutiny.

Four properties make the signal useful, and the procedure exists to protect them:

  1. Clean context per reviewer. Each reviewer must start fresh, with no

memory of this orchestration or of each other, or they stop being independent. Spawn two agents with clean context; if the agent API supports a fork_context flag, set it to false. Do not paste either reviewer's output into the other reviewer.

  1. Same target. Agreement only means something if both looked at the exact

same diff. Resolve the target once and hand the identical base...HEAD range to both.

  1. Two complementary review paths. One clean agent runs Codex's native

codex review --base "$base" command. The other clean agent performs a direct review using references/review-guide.md, which is based on Google's "What to look for in a code review": https://google.github.io/eng-practices/review/reviewer/looking-for.html

  1. Genuine parallelism. Spawn both agents before waiting for either result.

Do not serialize the reviews.

This skill is review-only. Never pass --fix / --comment, never apply patches, and never tell the user you are about to change code.

Not a PR-finishing loop

When the user asks to update code until review comments are handled and checks pass, use the pr-finish workflow instead. This skill should be run once after a batched fix, or at most once more after a second batched fix if valid P0-P2 findings remain. Do not rerun review-all after each individual fix.

Procedure

Step 1 — Resolve the shared target (one base, one range)

The target is base...HEAD (merge-base diff of the current branch), so both reviewers see exactly the commits this branch adds.

current=$(git rev-parse --abbrev-ref HEAD)

# Base precedence: user-provided --base > origin's default branch > main > master
base="$ARG_BASE"   # whatever the user passed, may be empty
if [ -z "$base" ]; then
  base=$(git symbolic-ref --quiet refs/remotes/origin/HEAD 2>/dev/null \
         | sed 's@^refs/remotes/origin/@@')
fi
[ -z "$base" ] && git show-ref --verify --quiet refs/heads/main   && base=main
[ -z "$base" ] && git show-ref --verify --quiet refs/heads/master && base=master

echo "current=$current base=$base"
git diff --shortstat "$base"...HEAD
git diff --name-only "$base"...HEAD

Step 2 — Pre-flight (fail fast, don't waste a review)

Stop and tell the user plainly if any of these hold:

  • Not inside a git repo.
  • No base branch could be resolved → ask the user which base to diff against.
  • current is the base branch → there is nothing to compare; ask for a base.
  • The diff is empty (git diff --shortstat "$base"...HEAD prints nothing) →

there are no committed changes to review. Remind the user this mode reviews committed changes only; if their work is uncommitted, they should commit first.

  • Codex is not ready: codex login status does not report a logged-in account.

Report it and offer to run the Google-rubric review alone.

Step 3 - Spawn BOTH clean agents in parallel

Use the agent/subagent facility available in the current environment. Start both review agents before waiting. If the API exposes fork_context, set it to false for each agent. Give each agent only the repo path, resolved base, and its task.

Agent A: Codex review-command agent

Task prompt:

You are a clean-context review-command runner. In the repo at <repo path>, run Codex's native review command against the committed branch diff: codex review --base <base> This is review-only. Do not pass --fix or --comment, do not post anything to GitHub, and do not modify files. Return the native command output and, if possible, a normalized JSON array of findings: {"file":"...","line":<int or null>,"priority":"P0|P1|P2|P3","category":"design|functionality|complexity|tests|naming|comments|consistency|documentation|security|other","title":"<one line>","description":"<evidence and impact>"}. If the command finds nothing, return [] after the raw output summary. If the command fails, return the exact failure and stop.

Agent B: Google-rubric review agent

Read references/review-guide.md next to this SKILL.md, then give the agent this task with the full rubric pasted in:

You are an independent code reviewer with clean context. In the repo at <repo path>, review only the committed changes in git diff <base>...HEAD. Apply this review rubric, based on Google's "What to look for in a code review": <paste the full contents of references/review-guide.md here> Constraints: This is review-only. Do not pass --comment or --fix, do not post anything to GitHub, and do not modify any files. Use system context as a lens to judge the changed lines, but anchor every finding to the diff (a changed line, or something the change should have touched but didn't, like a missing test). Skip nitpicks a linter, formatter, typechecker, or compiler would catch. Return your findings to me as a JSON array and nothing else. Each finding: {"file": "...", "line": <int or null>, "priority": "P0|P1|P2|P3", "category": "design|functionality|complexity|tests|naming|comments|consistency|documentation|security|other", "title": "<one line>", "description": "<why it's a problem, with evidence>"}. Assign priority per the rubric's P0–P3 scale. If you find nothing, return []. If the change does something notably well, you may add one finding with priority P3 and category other titled "Good: …".

After both agents have been spawned, wait for their results.

Step 4 — Collect both results

  • Await the Google-rubric review agent's JSON.
  • Await the Codex review-command agent's raw output and/or normalized JSON.

Parse the native Codex output semantically; don't rely on a rigid regex. What the native reviewer's output often looks like:

  • A preamble block (Codex version, workdir, model, and a dump of the diff and

the shell commands it ran) — skip all of it.

  • The findings appear after a codex marker as a summary line followed by

Full review comments: and a list of entries shaped like - [P2] <title> — <path>:<start>-<end> with a description paragraph under each. Each entry is one finding.

  • The findings block is often printed twice (streamed, then repeated as

the final message). Dedupe — it's the same findings, not new ones.

  • Codex already tags each finding [P0]–[P3]; keep those labels as-is —

it's the same scale the Google-rubric reviewer uses, so no remapping is needed.

  • Harmless git: warning: confstr() / xcrun_db lines come from the

read-only sandbox; ignore them.

If one side fails (Codex errored, an agent returned nothing usable), continue with whatever you have and say so explicitly in the report — a half review clearly labeled beats a silent gap.

Step 5 — Merge, dedupe, rank

Normalize both sides into the same finding shape, then reconcile:

  • Dedupe by same file + overlapping/adjacent lines + same underlying issue

(semantic match, not string match — the two agents will word things differently).

  • Tag the source of every finding: both, google, or codex.
  • Resolve priority for each merged finding: if both reviewers flagged it but

assigned different priorities, take the higher (more severe) one and note the split.

  • Rank primarily by priority (P0 → P3). Within a priority tier, list

findings both agents agree on first — independent agreement is the strongest confidence signal this skill produces.

  • Surface disagreement rather than hiding it: if the two agents conflict

on whether something is a bug, show both positions briefly. That tension is often the most useful part of the report.

Step 6 — Present one unified report

Lead with a verdict, then a priority overview table, then findings grouped by priority tier. Tag every finding with its priority, its source (both / google / codex), and its rubric dimension.

## Review-all: <current> vs <base>  (<N> files, +<adds>/-<dels>)

**Verdict:** APPROVE / REQUEST CHANGES / COMMENT
**Overall correctness:** patch is correct / patch is incorrect
Codex review and Google-rubric review examined the same diff independently; <X>
findings agreed.

### Findings overview
| Priority | Count | Where | Summary |
| -------- | ----- | ----- | ------- |
| P0 | <n> | <file:line or —> | <short or "none"> |
| P1 | <n> | … | … |
| P2 | <n> | … | … |
| P3 | <n> | … | … |

### P0      ← show only tiers that have findings
1. [P0] **<title>** — `file:line` · _both_ · functionality
   <merged description>

### P1
...

### P2
...

### P3
...

Derive the verdict from the priorities (same logic the kelos reviewer uses):

  • Overall correctness is "patch is incorrect" if there's any P0 or P1

finding; otherwise "patch is correct". Ignore P2/P3 nits for this call.

  • REQUEST CHANGES when there's a P0/P1; APPROVE when only P2/P3 (or

nothing); COMMENT when you genuinely need the author's input before deciding.

Keep it tight: no emojis, cite file:line, mark agreed (both) findings clearly since that's the highest-confidence signal, and don't pad single-model findings to look like consensus. If both agents found nothing, say so and stop. A notable strength may be a one-line "Good:" note under the lowest tier — matter-of-fact, not flattery.

Notes & edge cases

  • Committed changes only. codex review --base and base...HEAD both ignore

uncommitted/untracked files. If the user wants those reviewed, they must commit first (a future --working-tree mode could cover that case).

  • Large diffs. Codex may take a while; that's exactly why it runs in its own

clean agent. Don't kill it early.

  • Arguments. Accept an optional base override (e.g. review-all --base develop

or review-all develop). If none is given, auto-resolve per Step 1.

  • Don't double-review. Both reviewers must get the identical range; never let

one drift to working-tree and the other to branch scope.

Score

0–100
55/ 100

Grade

C

Popularity15/30

823 installs — growing adoption.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Review All skill score badge previewScore badge

Markdown

[![Review All skill](https://www.remoteopenclaw.com/skills/gjkim42/kanon-repo/review-all/badges/score.svg)](https://www.remoteopenclaw.com/skills/gjkim42/kanon-repo/review-all)

HTML

<a href="https://www.remoteopenclaw.com/skills/gjkim42/kanon-repo/review-all"><img src="https://www.remoteopenclaw.com/skills/gjkim42/kanon-repo/review-all/badges/score.svg" alt="Review All skill"/></a>

Review All FAQ

How do I install the Review All skill?

Run “npx skills add https://github.com/gjkim42/kanon-repo --skill review-all” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Review All skill do?

>- The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Review All skill free?

Yes. Review All is a free, open-source skill published from gjkim42/kanon-repo. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Review All work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Review All works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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