kc-pr-review-resolve

kc-pr-review-resolve is a skill for Claude Code from iamcxa/kc-claude-plugins. It costs 32 tokens per session (8,417 once invoked), scanned A, original, MIT.

A workflow for handling review comments and automated feedback on a GitHub pull request, which is a proposed code change. It validates each comment before deciding whether a fix or response is appropriate.

In plain words
What is it for?
Use it to triage pull-request feedback, verify suggested fixes, prepare replies, and resolve approved review issues.
Why use it?
It helps separate real issues from false positives, existing problems, and informational comments before changes are pushed.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: reads .claude/ paths; mentions CLAUDE.md; built for gstack.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the kc-pr-flow plugin — 7 skills, 3 agents shipped together

Good fit Use it to triage pull-request feedback, verify suggested fixes, prepare replies, and resolve approved review issues.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add iamcxa/kc-claude-plugins
Claude Code
/plugin install kc-pr-flow

Made for: Claude Code.

Or install kc-pr-flow, the plugin that ships this one along with the rest of its 7 skills, 3 agents.

Wrote 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.

agentmods badge for kc-pr-review-resolve

README.md
[![agentmods](https://agentmods.dev/badge/skills/iamcxa/kc-claude-plugins/kc-pr-review-resolve/github.svg)](https://agentmods.dev/skills/iamcxa/kc-claude-plugins/kc-pr-review-resolve)
Your own site
<a href="https://agentmods.dev/skills/iamcxa/kc-claude-plugins/kc-pr-review-resolve"><img src="https://agentmods.dev/badge/skills/iamcxa/kc-claude-plugins/kc-pr-review-resolve/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.

agentmods 80×15 button for kc-pr-review-resolve

Your own site · 80×15
<a href="https://agentmods.dev/skills/iamcxa/kc-claude-plugins/kc-pr-review-resolve"><img src="https://agentmods.dev/badge/skills/iamcxa/kc-claude-plugins/kc-pr-review-resolve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,417 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.08417
Opus 5.5 $0.00013 $0.03367
Sonnet 5.5 $0.00006 $0.01683
Haiku 4.5 $0.00003 $0.00842

Measured 1mo ago against content hash 549966952e37, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kc-pr-review-resolve 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 1mo 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.

kc-pr-flow/skills/kc-pr-review-resolve/SKILL.md · 609 lines

How it starts

The opening of the file, as written. The whole thing — 609 lines — stays where its author put it; the contents beside it link to each section on GitHub.

All text output follows unified language preference. See plugin CLAUDE.md for query flow.

REQUIRED SUB-SKILL: Use superpowers:receiving-code-review for evaluation mindset — verify before implementing, push back on incorrect suggestions, no performative agreement. This skill handles mechanics; that skill governs judgment.

Configuration

This skill respects pr_review_resolve.auto_confirm in the adopter's workflow config (project CLAUDE.md or workflow README):

Value Behavior
off (default) Always wait for user confirmation at Step 4 GATE (current behavior, no change for adopters who don't set the flag)
reply_only Skip confirmation gate when ALL conditions hold: (a) every inline issue verdict ∈ {False Positive, Pre-existing, Informational}, (b) every PR-level review action is reply-only (no Fix:), (c) total reply count ≤ 10. See Step 4.5: Auto-Confirm Check for full logic.
preapproved Skip confirmation gate only when the user explicitly directs autonomous resolution in the current request (for example, "fix all review issues" / "address every valid review comment"). Validation still runs first; invalid or risky feedback is replied to with evidence, not blindly fixed.

Rationale: reply_only mode addresses the daily-pain segment "captain must confirm action plan even when all findings are nits/FP" without granting the skill authority to push controversial fixes. Any issue requiring code change still gates on captain confirmation.

Future extension (separate entity): trivial_fix mode for single-line typo / null-check / unused-import auto-fixes. Out of scope for this revision.

Process Flow

digraph resolve_pr {
  rankdir=TB;
  node [shape=box];

  detect [label="Detect PR\n(from args or current branch)"];
  fetch [label="Fetch unresolved threads\n+ PR-level reviews\n+ reviewer metadata"];
  validate [label="Dispatch review agents\nto validate each thread"];
  dedup [label="Cross-AI dedup\ngroup by (file, conceptual issue)"];
  verdict_dedup [label="Cross-review verdict dedup\n(suppress prior-dismissed\nunless file changed)"];
  triage [label="Triage & classify threads\n(AI reviewer annotations)"];
  report [label="Report findings to user"];

  node [shape=diamond];
  auto_confirm_check [label="Step 4.5:\nauto_confirm config?\n(reply_only: skip-fix if\nconditions met;\npreapproved: fix if\ndirective given)"];
  confirm [label="User confirms\naction plan?"];

  node [shape=box];
  fix [label="Fix valid issues\n(one commit per fix)"];
  push [label="Push changes"];
  reply [label="Reply to ALL threads\non PR"];
  resolve_threads [label="Resolve fixed threads"];
  rereview [label="Smart re-review\n(AI-aware tagging)"];

  detect -> fetch -> validate -> dedup -> verdict_dedup -> triage -> report -> auto_confirm_check;
  auto_confirm_check -> confirm [label="off / blocked"];
  auto_confirm_check -> reply [label="reply_only\nauto-confirmed\n(skip fix)"];
  auto_confirm_check -> fix [label="preapproved\nauto-confirmed\n(directive detected)"];
  confirm -> fix [label="yes"];
  confirm -> report [label="no, adjust"];
  fix -> push -> reply -> resolve_threads -> rereview;
  reply -> resolve_threads;

  node [shape=diamond];
  has_ai [label="AI reviewer\nre-triggered?"];

  node [shape=box];
  offer_monitor [label="Offer to monitor\nAI response"];
  monitor [label="Poll for new\nAI feedback"];
  report_new [label="Report new feedback\n(loop back to triage)"];

  learning [label="9: Learning\nskill + project\nknowledge capture"];

  node [shape=doublecircle];
  end_node [label="Done"];

  rereview -> has_ai;
  has_ai -> offer_monitor [label="yes"];
  has_ai -> learning [label="no"];

  offer_monitor -> monitor [label="user accepts"];
  offer_monitor -> learning [label="user declines"];
  monitor -> report_new [label="new feedback"];
  monitor -> learning [label="timeout / no response"];
  report_new -> triage [label="re-triage"];
  learning -> end_node;
}

Read the full file on GitHub · 609 lines

Changes

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.

  1. 1mo ago First seen · 609 lines · 32 tokens per session scan A 549966952e37

Subscribe to this mod's changes

kc-pr-review-resolve is a skill published in the GitHub repository iamcxa/kc-claude-plugins (3 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 8,417 once invoked, about $0.0001 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 2026-09-03.