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hefgihefgi/skills/review-workflow/SKILL.md

review-workflow

Skill7 starsChanged 4 months agoMITView on GitHub

Run an iterative code-review loop: a review workflow scores the diff by severity, Claude fixes the issues at the chosen strictness, commits, then re-reviews — looping until the review comes back clean. Configurable at invocation: a model ladder (recommended Sonnet → Opus; also sonnet, opus, or a custom models= list), a strictness set of severities to enforce (default critical+major+minor; e.g. strictness=critical,major), and a per-tier round cap (rounds=3/5/10 or until-fixed). Asks if unspecified. Project-agnostic; any git repo. Use when the user asks to review-and-fix in a loop, do a feedback pass, or "keep reviewing until clean".

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    1. issue-orchestrator/issue-orchestrator★ 10same name
    2. Abeautifulsnow/skills★ 2same name
    3. HyunKN/harness-kit★ 0same name
    4. sasuketorii/rev_harness_public★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

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We split this skill into the rules it gives an agent

11 rules. About 0 are common, 4 are distinctive, and 7 are very specific to this project.

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    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 7

    Very specific

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  1. Distinctive:

    Run an iterative review → fix → commit → re-review loop until a code review comes back clean.

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  2. Very specific:

    When invoked with /review-workflow $ARGUMENTS:

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  3. Very specific:

    Use the returned absolute path as scriptPath.

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  4. Very specific:

    Use one AskUserQuestion to pick what to review, then run the rest autonomously:

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  5. Very specific:

    If the user already stated the scope in $ARGUMENTS, skip the question and use it.

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  6. Very specific:

    If no model suite is present in $ARGUMENTS, ask with one AskUserQuestion offering exactly these options (recommended one first):

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  7. Very specific:

    If no strictness is present in $ARGUMENTS, ask with one multi-select AskUserQuestion listing all four severities — critical, major, minor, …

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  8. Very specific:

    If no round count is present in $ARGUMENTS, ask with one AskUserQuestion offering (recommended first): Run until fixed *(Recommended, …

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  9. Distinctive:

    When the loop ends, summarize:

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  10. Distinctive:

    If stopped by a guard: list the remaining findings (file, severity, title) so the user can decide.

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  11. Distinctive:

    If every reviewer fails, the workflow throws rather than reporting a false "clean" — so a broken review can never be mistaken for a passing …

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≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Review Workflow Skill

Run an iterative review → fix → commit → re-review loop until a code review comes back clean.

How it works (two actors)

A Claude Code workflow orchestrates subagents but cannot edit the working tree or commit — its subagents run in isolated contexts. So the loop is split:

StepWho
Review the diff → verified, severity-graded findingsthe bundled workflow (references/review-loop.mjs)
Apply the fixesyou (the main agent)
Commit round Nyou (the main agent)
Re-review (round N+1)the bundled workflow
Escalate models cheap → smartyou (the main agent) — run each tier of the chosen ladder to clean
Decide which severities to fix/enforceyou (the main agent) — the chosen strictness set
Cap the rounds per tieryou (the main agent) — maxRounds (3/5/10 or until-fixed, ceiling 20)

You drive the outer loop; the workflow is the per-round review engine you call. The workflow is invoked directly from this skill's bundled path — nothing is written into the user's repo.

Instructions

When invoked with /review-workflow $ARGUMENTS:

1. Prerequisites

  • Confirm this is a git repo (git rev-parse --git-dir). If not, tell the user and STOP.
  • Determine the current branch. If on main/master, create a working branch first (do not commit review fixes onto the default branch).
  • Resolve the absolute path to this skill's bundled workflow (references/review-loop.mjs, next to this SKILL.md) — you need it for the Workflow call below. The install location varies (global ~/.claude/, tessl's ~/.agents/skills/ which ~/.claude/skills/ symlinks to, or a project checkout), so locate it rather than assuming. -L follows the tessl symlinks; trusted roots are searched before the cwd so a project-local copy can't shadow the installed one:
    find -L ~/.claude ~/.agents . -type f -path '*review-workflow/references/review-loop.mjs' 2>/dev/null | head -1
    Use the returned absolute path as scriptPath. If nothing is found, tell the user the skill's workflow file is missing and STOP.
  • Pick the reviewer agent. The workflow reviews with a subagent; it must be a runtime-registered agent type, not a skill or an on-disk agent file. Check your available agent types (the ones you can actually spawn): if a code-reviewer agent is available in this project, set reviewerAgentType = "code-reviewer" so the review uses the project's specialized reviewer; otherwise leave it unset and the workflow defaults to general-purpose. (Only agents in the live registry work — a project's PR-review skill or an unregistered code-reviewer.md cannot be used as the reviewer.)

2. Ask scope (once)

Use one AskUserQuestion to pick what to review, then run the rest autonomously:

ChoicescopeModeWhat it reviews
Branch diff vs base (default)branchThe whole branch: merge-base(HEAD, main/master)..HEAD. Best for a feature-branch feedback pass.
Working-tree changes onlyworkingStaged + unstaged changes vs HEAD.
Specific pathspathsThe branch diff (merge-base..HEAD) restricted to the paths the user names (ask for them).

If the user already stated the scope in $ARGUMENTS, skip the question and use it. If they pick Specific paths and haven't listed the paths, a follow-up question to collect the path list is allowed (this is the one exception to "one question") — never pass scopeMode: "paths" with an empty paths, or it silently reviews the whole branch.

3. Choose the model suite (the escalation ladder)

The review runs on a ladder of models, cheap → smart: it converges on the first tier, then re-converges on the next, and so on. Mechanical work (scope, file-listing) always runs on Haiku inside the workflow regardless of the ladder.

Resolve tiers (an ordered list of review models) from $ARGUMENTS:

In $ARGUMENTSResolved tiers
sonnet-opus (preset)["sonnet", "opus"]
sonnet (preset)["sonnet"]
opus (preset)["opus"]
models=<a,b,c> (explicit list)that list, e.g. models=haiku,sonnet,opus → ["haiku","sonnet","opus"]

If no model suite is present in $ARGUMENTS, ask with one AskUserQuestion offering exactly these options (recommended one first):

  • Sonnet → Opus (Recommended) — Sonnet clears the obvious issues cheaply, then Opus does the final, smartest sign-off. → ["sonnet", "opus"]
  • Sonnet only — single cheaper/faster pass. → ["sonnet"]
  • Opus only — max quality from round one, higher cost. → ["opus"]

Then run the ladder:

globalRound = 0
for tier in tiers:
    prevSet = null                # reset the no-progress guard at the start of EACH tier
    tierRound = 0                 # reset the per-tier round counter (see maxRounds, step 5)
    run the per-tier loop below with reviewModel = tier

4. Choose strictness (which severities to enforce)

enforce is the set of severities the loop both fixes and drives to zero before a tier is clean. Severities not in the set are ignored for the stop condition; anything in the set is fixed every round.

Resolve enforce from $ARGUMENTS:

In $ARGUMENTSResolved enforce
strictness=<a,b,…> (explicit list)that set, e.g. strictness=critical,major → {critical, major}
(absent)ask, pre-checked to the default below

If no strictness is present in $ARGUMENTS, ask with one multi-select AskUserQuestion listing all four severities — critical, major, minor, nit — pre-checked to critical + major + minor (the default; unchanged from prior behavior). The user ticks exactly the severities to enforce (any combination, e.g. critical + major + nit to skip minor). At least critical should be selected; if the user picks nothing, fall back to the default.

5. Choose max rounds (the per-tier round cap)

maxRounds caps how many review rounds run per tier (it resets at the start of each tier). The loop still stops early the moment a tier is enforced-clean or the no-progress guard trips — maxRounds is just the ceiling.

Resolve maxRounds from $ARGUMENTS:

In $ARGUMENTSResolved maxRounds
rounds=3 / rounds=5 / rounds=10 (or any N)that number
rounds=untilrun until fixed — capped at the 20-round safety ceiling
(absent)ask, defaulting to run until fixed

If no round count is present in $ARGUMENTS, ask with one AskUserQuestion offering (recommended first): Run until fixed (Recommended, ceiling 20), 3, 5, 10. "Run until fixed" sets maxRounds = 20 (a hard safety ceiling — a growing diff may keep surfacing findings and never fully converge, so it must be bounded).

You can ask scope, model, strictness, and max-rounds together in a single AskUserQuestion call — still "once".

6. The per-tier loop (maxRounds cap per tier; resets each tier)

Track tierRound (the round number within the current tier, reset to 0 when a tier starts) alongside globalRound (used only for commit-message labelling). For each round in the current tier:

  1. Review — increment both counters (++tierRound, ++globalRound), then call the bundled workflow:
    Workflow({
      scriptPath: "<this-skill-dir>/references/review-loop.mjs",
      args: { scopeMode, round: globalRound, paths, reviewModel: tier, reviewerAgentType }
      // reviewerAgentType from step 1 (omit/undefined → workflow uses general-purpose).
      // include base only if the user pinned one; mechanicsModel defaults to haiku.
      // Optional: pass focus:"<text>" to weight the reviewers toward a concern the
      // user called out in $ARGUMENTS.
    })
    It returns { round, base, scopeMode, files, confirmed, counts } where confirmed is the adversarially-verified findings (each { severity, file, location, title, detail, suggestedFix }) and counts is { critical, major, minor, nit }. The review and its per-finding verify both run on tier.
  2. Tier-clean check — if the sum of counts over the enforced severities is 0 (e.g. for enforce = {critical, major}, counts.critical + counts.major === 0), this tier is clean → break to the next tier (or, if this was the last tier, finish). Fix trivial non-enforced findings opportunistically before moving on.
  3. No-progress guard — build the identity set of the current unresolved enforced findings as `${file.trim().replace(/^\.\//, '')}::${title.trim().toLowerCase()}` (normalize both halves so ./x and x don't read as different findings). If it equals prevSet (the same issues keep coming back within this tier): escalate, don't quit — compare the sets by value (e.g. sort the keys and join to a string), not by object identity — break to the next tier, whose smarter model may fix or dismiss them. Only if this is already the last tier do you stop the whole loop and report. Then set prevSet to the current set for the next round. prevSet starts null at each tier (set in the ladder above), so round 1 of a tier never falsely trips this.
  4. Iteration guard — if tierRound >= maxRounds, this tier has hit its cap → break to the next tier (or, if this is the last tier, stop and report). The findings from this capped review are reported but not fixed/committed on this tier. maxRounds resets per tier, so with sonnet→opus and maxRounds=5 you get up to 5 sonnet rounds and up to 5 opus rounds. (For "run until fixed", maxRounds is 20 — a hard ceiling so a non-converging diff can't loop forever.) If the cap fires on the first round of an escalated tier (so that tier applied zero fixes), say so in the report.
  5. Fix — apply fixes for every confirmed finding whose severity is in enforce, using its suggestedFix as a starting point (verify it's correct against the actual code — don't apply blindly). Also fix non-enforced findings opportunistically when the change is low-risk and quick, but they never block the tier-clean check.
  6. Commit — stage only the files you actually edited (do not git add -A or git add . — the working tree may hold untracked secrets like .env; prefer explicit paths, or git add -u for tracked-only), then commit:
    git add <the files you fixed>   # or: git add -u
    git commit -m "Address code review feedback (round <globalRound>, <tier>)"
    No Claude attribution in the message or trailers. If the round produced no file changes, skip the commit (and treat as no progress for the guard).
  7. Repeat from step 1.

7. Completion report

When the loop ends, summarize:

  • The ladder run (e.g. sonnet → opus), the reviewer agent used (code-reviewer or general-purpose), enforced severities (e.g. critical+major), and maxRounds; total rounds run, and why it stopped (final tier clean / no-progress / hit the maxRounds cap).
  • Issues fixed per severity across all rounds; commits made (one per round).
  • If stopped by a guard: list the remaining findings (file, severity, title) so the user can decide.
  • Note any non-enforced findings surfaced but intentionally left unfixed, so the user knows they exist.

Notes

  • Project-agnostic — no repo-specific rules baked in; the workflow reads the nearest CLAUDE.md and treats its conventions as review criteria.
  • Reviewer agent — the skill auto-detects a runtime-registered code-reviewer agent (step 1) and uses it when present, so on projects that ship one (e.g. onyx) the review uses that specialized reviewer; otherwise it falls back to the general-purpose workflow subagent, so it runs anywhere. Only live agent types qualify — workflow subagents resolve agentType against the runtime registry, not against agent files on disk or skills, so a project's PR-review skill or an unregistered code-reviewer.md cannot be the reviewer. You can also force a specific agent by passing reviewerAgentType in $ARGUMENTS. If every reviewer fails, the workflow throws rather than reporting a false "clean" — so a broken review can never be mistaken for a passing one.
  • Model tiering (cost-efficient, configurable) — mechanical work (scope, file-listing) runs on Haiku; the review ladder is chosen at invocation (default Sonnet → Opus; also sonnet, opus, or an explicit models=… list — see step 3). Each review round's verify phase runs on the same tier as its review. The skill passes reviewModel/mechanicsModel into the workflow args. Note: passing reviewModel overrides the code-reviewer agent's own model for that call, so the tier is applied uniformly.
  • No attribution — never add Co-Authored-By: Claude or "Generated with Claude Code" to commits.
  • Nothing is copied into the repo — the workflow runs from this skill's bundled references/ path.

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