resolve-review

resolve-review is a skill for Claude Code, Codex from P2ERGmbH/agentic-coding. It costs 37 tokens per session (3,231 once invoked), scanned C, original, MIT.

A workflow for fixing findings from local code reviews or comments on a remote GitHub pull request. It analyses each finding, changes the code in an isolated worktree, and checks the result locally.

In plain words
What is it for?
Use it after a code review when you need to resolve review findings or address pull-request feedback. It supports both local review reports and live GitHub comments.
Why use it?
It keeps review fixes organised and addresses comments one at a time from their underlying cause. It also requires fetching current remote comments so outdated review data is not used.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/p2ergmbh/agentic-coding/resolve-review
Any agent
npx skills add P2ERGmbH/agentic-coding --skill resolve-review
Clone the repo
git clone --depth 1 https://github.com/P2ERGmbH/agentic-coding

Made for: Claude Code, Codex.

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 resolve-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/p2ergmbh/agentic-coding/resolve-review.svg)](https://agentmods.dev/skills/p2ergmbh/agentic-coding/resolve-review)
Your own site
<a href="https://agentmods.dev/skills/p2ergmbh/agentic-coding/resolve-review"><img src="https://agentmods.dev/badge/skills/p2ergmbh/agentic-coding/resolve-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,231 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
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 $0.00037 $0.03231
Opus 5 $0.00018 $0.01615
Sonnet 5 $0.00007 $0.00646
Haiku 4.5 $0.00004 $0.00323

Measured 3d ago against content hash 1613abf53904, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

resolve-review scanned grade C with 1 finding 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 3d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/resolve_comments.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf .tmp/task_comment_id_*.txt .tmp/updated_comment_*.md
.agents/skills/resolve-review/SKILL.md · 213 lines

How it starts

The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Resolve Review Workflow

This workflow guides you through resolving review findings (either local reviews or remote Pull Request comments) inside an isolated Git Worktree using an efficient orchestrator-worker pattern. It keeps the main conversation context clean and focused on user-approved planning, while delegating heavy file-parsing and code-modification tasks to specialized subagents.

Trigger

Use this workflow whenever the user asks to "resolve review", "fix review comments", or "address feedback" from a code review.

[!IMPORTANT] Fresh Fetch Mandate (MANDATORY): When this skill is invoked, the agent MUST ALWAYS fetch/refresh the review comments directly from the live GitHub API as the very first action. Under no circumstances may the agent reuse old, cached, or existing threads or analysis files. A fresh unique query file (e.g. .tmp/pr_threads_<PR_NUMBER>_<TIMESTAMP>.json) must be created, and a fresh query must be executed. Relying on cached comment data is strictly prohibited.


🤖 Orchestration & Delegation Mandate

The primary agent MUST act as the orchestrator of the review resolution workflow. To prevent context clutter and manage token usage, the orchestrator:

  1. Orchestrates: Handles user approval, high-level task planning, git worktree setup, and final GitHub PR interactions (posting comments and resolving threads).
  2. Delegates: Spawns specialized subagents for token-heavy phases (gathering/analyzing findings and implementing specific code fixes), keeping the main chat clear of raw compiler output, lint logs, and long JSON payloads.

🌳 Isolated Git Worktree Mandate

To prevent conflicts with ongoing local work and avoid workspace pollution, the agent MUST operate within an isolated Git Worktree:

  1. Create Git Worktree: Create an isolated worktree under a designated, git-ignored /worktrees/pr-<PR_NUMBER> directory.
    • If the branch already exists (e.g., the PR's feature branch): checkout the existing branch directly:
      git worktree add worktrees/pr-<PR_NUMBER> <existing_branch_name>
      
    • If creating a new branch: use the -b flag:
      git worktree add -b <new_branch_name> worktrees/pr-<PR_NUMBER> origin/main
      
    • IMPORTANT: Always use the existing PR branch when resolving review comments. Do NOT create a new fix/ branch.
  2. Environment Setup:
    • Copy the .env file from the root project directory to the worktree directory: cp .env worktrees/pr-<PR_NUMBER>/.env.
    • Symlink the node_modules directory from the root project directory to the worktree directory to avoid duplicate installation overhead:
      ln -s ../../node_modules worktrees/pr-<PR_NUMBER>/node_modules
      
  3. Scoped Operations: All subsequent terminal commands, local testing, code modifications, linting, compiling, and git pushes MUST be executed inside the worktree directory.

Read the full file on GitHub · 213 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 213 lines · 37 tokens per session scan C 1613abf53904

Subscribe to this mod's changes

resolve-review is a skill published in the GitHub repository P2ERGmbH/agentic-coding (9 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 3,231 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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