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pr-review

Address feedback left on a GitHub pull request: fetch unresolved review threads, make agreed Elixir/Phoenix code fixes, reply, and resolve. Use for a PR URL/number or reviewer comments

Install / Use

npx skills add oliver-kriska/claude-elixir-phoenix --skill pr-review

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

88/100

Category

Automation

Supported Platforms

Universal

Our assessment of pr-review

pr-review scores 88/100 on our quality scale, 1342nd of 2,853 Automation skills we index (top 48%).

Its SKILL.md is 6.0 KB long, well organised into 11 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.

It has 560 GitHub stars, a meaningful sign that others use it.

Substance
29/30
Structure
18/20
Description
15/15
Adoption
12/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so pr-review is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

pr-review compared with similar skills

All 4 of these similar skills score higher than pr-review; compare them before choosing.

SkillScoreStarsUpdatedFormat
pr-review (this skill)by oliver-kriska885602d agoSKILL.md
Agent-Reachby Panniantong10089.8k18d agoCLAUDE.md
Scraplingby D4Vinci10085.5ktodayMCP Server
rufloby ruvnet10073.8ktodayMCP Server
algorithmic-artby anthropics100177.9k11d agoSKILL.md

Frequently asked questions

How do I install pr-review?
Run npx skills add oliver-kriska/claude-elixir-phoenix --skill pr-review. The install tabs above show the steps for each supported agent.
Which AI agents does pr-review work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is pr-review safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is pr-review still maintained?
The repository was last updated 2 days ago, so pr-review is actively maintained.

name: pr-review description: "Address feedback left on a GitHub pull request: fetch unresolved review threads, make agreed Elixir/Phoenix code fixes, reply, and resolve. Use for a PR URL/number or reviewer comments. NOT for pre-PR review, findings triage, or CI monitoring." effort: high argument-hint: <PR number or URL> [--fix] [--bots-only] [--no-resolve]

PR Review Response

Close the review loop: fetch unresolved threads → fix → reply → resolve. GitHub's isResolved is the state — re-runs are idempotent, handled threads drop out automatically.

Usage

/phx:pr-review 42                  # Triage unresolved threads on PR #42
/phx:pr-review 42 --fix            # Triage + apply approved code fixes
/phx:pr-review https://...         # Full URL also works (repo parsed from URL)
/phx:pr-review 42 --bots-only      # Triage only CI bot threads (Copilot, Codex...)
/phx:pr-review 42 --no-resolve     # Reply but leave threads open

Step 1: Resolve PR + Fetch Threads

gh pr view "$PR" --json number,title,state,baseRefName,headRefName,url,author (accepts number or URL; URL also yields owner/repo). Then fetch ALL review threads with thread IDs + resolved status — REST alone cannot do this:

cat > /tmp/review_threads.graphql <<'GQL'
query($owner:String!, $repo:String!, $pr:Int!, $cursor:String) {
  repository(owner:$owner, name:$repo) {
    pullRequest(number:$pr) {
      reviewThreads(first:50, after:$cursor) {
        pageInfo { hasNextPage endCursor }
        nodes {
          id isResolved isOutdated path line originalLine
          comments(first:20) { nodes {
            databaseId body createdAt
            author { login __typename } } }
        }
      }
    }
  }
}
GQL
gh api graphql --paginate -F owner="$OWNER" -F repo="$REPO" -F pr="$PR" \
  -F query=@/tmp/review_threads.graphql \
  --jq '.data.repository.pullRequest.reviewThreads.nodes[]
        | select(.isResolved == false)
        | {threadId: .id, isOutdated, path, line: (.line // .originalLine),
           firstCommentId: .comments.nodes[0].databaseId,
           author: .comments.nodes[0].author.login,
           isBot: (.comments.nodes[0].author.__typename == "Bot"),
           body: .comments.nodes[0].body}'

Also fetch review summaries (gh api "repos/$OWNER/$REPO/pulls/$PR/reviews") — they are NOT threads and cannot be resolved; surface CHANGES_REQUESTED bodies separately. Bot detection: __typename == "Bot" / user.type == "Bot" (the [bot] login suffix is NOT reliable across endpoints).

Step 2: Triage Table

Group by file, one row per thread. With --bots-only, keep only isBot rows.

| # | file:line | author | category | proposed action | |---|-----------|--------|----------|-----------------|

Categories: code-change ("should be", "use X instead") · question ("why", "how does") · nitpick ("nit:", style) · praise (no action) · discussion (architecture) · bot-finding (CI bot inline comment — verify before accepting, many are false positives) · outdated (isOutdated: true — line moved; default: reply "addressed in {commit}" + resolve). Present the table and let the user greenlight threads.

Step 3: Per-Thread Loop

For each greenlit thread:

  1. Read code at path:line; check the suggestion against Iron Laws

  2. Apply fix with a user-visible diff (only with --fix or explicit ok)

  3. Draft reply (templates: ${CLAUDE_SKILL_DIR}/references/response-patterns.md)

  4. STOP — show diff + reply, get confirmation

  5. Post reply — REST, targeting the thread's root comment:

    gh api --method POST \
      "repos/$OWNER/$REPO/pulls/$PR/comments/$FIRST_COMMENT_ID/replies" \
      -f body="$REPLY_TEXT"
    
  6. Resolve the thread (skip with --no-resolve):

    gh api graphql -f query='mutation($threadId:ID!){
      resolveReviewThread(input:{threadId:$threadId}){
        thread { id isResolved } }}' -F threadId="$THREAD_ID"
    

Mistake recovery: unresolveReviewThread takes the same input shape.

Step 4: Verify

mix compile --warnings-as-errors && mix test scoped to changed files. Do NOT commit or push — leave that to the user.

Step 5: Final Summary

Print rollup: # | thread | action | status (replied/resolved/skipped). List changed files. Optionally post a top-level conversation comment (gh api --method POST "repos/$OWNER/$REPO/issues/$PR/comments" -f body=...) with the rollup — only on user approval.

Iron Laws

  1. NEVER auto-post responses — Always show drafts and get explicit approval
  2. NEVER dismiss a review — Only the reviewer should dismiss
  3. Iron Laws override reviewer suggestions — If a suggestion violates an Iron Law, explain why in the reply
  4. Keep responses constructive — Acknowledge the feedback, explain reasoning
  5. Separate fixes from responses — Apply code changes in a distinct step
  6. NEVER resolve a thread without first posting a reply — every resolve is preceded by a reply on that thread explaining what was done
  7. NEVER claim a fix without a shown diff — no "should be fixed" replies without a user-visible change
  8. Bot findings get the same scrutiny as humans — decline Iron-Law-violating bot suggestions with explanation; never bulk-resolve "bot noise" without replies

Integration

PR receives review → /phx:pr-review {number}  ← YOU ARE HERE
   ↓ fetch unresolved threads (GraphQL, paginated)
   ↓ triage table → user greenlights
   ↓ per thread: fix (diff) → reply → resolve
   ↓ verify (mix compile + test) → summary
Push changes → user handles git push

Next Steps

  • /phx:plan — if findings reveal scope gaps
  • /phx:verify — full verification before pushing
  • Re-run /phx:pr-review after the next review round (idempotent)

References

  • ${CLAUDE_SKILL_DIR}/references/response-patterns.md — Response templates and tone
  • ${CLAUDE_SKILL_DIR}/references/gh-commands.md — Full gh command reference (3 comment surfaces, pagination, bot detection)
  • ${CLAUDE_SKILL_DIR}/references/bot-triage.md — Batch-triaging CI bot review passes

Related Skills

View on GitHub
GitHub Stars560
CategoryAutomation
Updated2d ago
Forks44

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions