kube-agents: Skill for Claude Code

.agents/skills/review-address-feedback/SKILL.md

review-address-feedback is a skill for Claude Code, Codex from gke-labs/kube-agents. It costs 52 tokens per session (1,720 once invoked), scanned A, original, Apache-2.0.

A pull-request review workflow for collecting feedback, deciding what to fix or defer, replying to every discussion, and requesting another review. A pull request is a proposed set of code changes for review before merging.

In plain words
What is it for?
Use it after automated or human review to inspect current code, fix valid findings, explain pushback, record deferrals, resolve addressed threads, and request a re-read.
Why use it?
It prevents review comments and failed checks from being overlooked and requires each finding to have a clear resolution or explanation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is gke-labs/kube-agents's own configuration. It tells Claude Code and Codex how to work on kube-agents itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything kube-agents configures →

Reuse

Borrowing it

Nothing to install: this file belongs to gke-labs/kube-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/gke-labs/kube-agents/main/.agents/skills/review-address-feedback/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/gke-labs/kube-agents

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 review-address-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/gke-labs/kube-agents/review-address-feedback/github.svg)](https://agentmods.dev/skills/gke-labs/kube-agents/review-address-feedback)
Your own site
<a href="https://agentmods.dev/skills/gke-labs/kube-agents/review-address-feedback"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/review-address-feedback/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 review-address-feedback

Your own site · 80×15
<a href="https://agentmods.dev/skills/gke-labs/kube-agents/review-address-feedback"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/review-address-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,720 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 $0.00052 $0.01720
Opus 5.5 $0.00021 $0.00688
Sonnet 5.5 $0.00010 $0.00344
Haiku 4.5 $0.00005 $0.00172

Measured 3d ago against content hash c14e09f5ed44, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-address-feedback 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 3d 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.

.agents/skills/review-address-feedback/SKILL.md · 23 lines

How it starts

The opening of the file, as written. The whole thing — 23 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Task

Work a review round until every thread has a reply and the bot's part is over: a green AI Review check — clean on a first review, nothing holding on a later one — or the third reviewed commit, whichever comes first; after either, no re-read of your own (the stop rule). AGENTS.md and the rules it links win if this file disagrees, and unattended agents follow agents/contributor/AGENTS.md where it differs; docs/pull-request-workflow.md holds the commands.

Workflow

  1. Collect every unresolved thread, review-body finding and red check. Read each against the current head and current main, not your checkout: a finding that reads wrong is often a stale checkout, and an outdated thread is not an addressed one.
  2. Cross-check the Self-Review. A finding it recorded without a disposition, or claimed fixed when it is not, gets settled this round; one it rejected with a reason gets that reason as the reply.
  3. Triage each: fix; push back with a reason about this change and its evidence; or defer with a filed issue (pre_pr_review.md), or with an expected-fail eval case for an agent-behaviour gap you will not fix (eval_driven_development.md). A finding that correctly applies a rule with no exemption is a fix, never a push-back, on a first review and, when it is a 🔴 High, on any round; a High you can show wrong is a refutation like any other. On a later round, decline by default: fix a 🟠 Medium only when its Kind is behaviour, it is on code this pull request added, and the fix is one mechanical edit per site that adds no file, helper, branch, flag, dependency or regex alternative; otherwise reply declined: <reason about this change> or deferred to #N and record it in Self-Review. A fix that would add a mechanism — a module or file, an exported type, command, flag, env var, config key or dependency, a test that parses or simulates another system, more than about forty net lines, or a non-test, non-doc file the pull request did not touch — is a design question for the human reviewer whatever the finding's severity: say so in the thread, defer it to an issue, and do not build it on a review round. Read a red check's log before acting: a red your change caused is a fix; one it did not gets one retest if transient, otherwise a report to the check's owners.
  4. Drive toward merge. A standing instruction from the user to address findings and move the pull request to merge is their decision: act on it, deciding each finding from that direction and the pull request's stated intent, and summarise each finding and its disposition to the user. Ask only without such an instruction or when neither settles a finding, and then with concrete options and a recommendation, never an open-ended question.
  5. Bracket each fix with evidence, red before and green after: the eval loop for agent behaviour, live validation for runtime behaviour, or the exemption record those rules allow. Take the live-test lease before touching a shared install.
  6. Fix the class: every site of the same shape, scoped by the rule behind the finding: a correctness shape across the functions this pull request touches, a convention shape only in the lines it writes. A class is fixed whole or deferred whole. Add a test that fails on the shape where one can exist.
  7. Re-review non-trivial fixes with review-preflight before pushing.
  8. Push once, body included: a push restarts CI, and Testing, Live validation and Self-Review go current in the same push, before any re-read, each round folded in place — a skipped live run written Not live-tested: <what a run would show, why no install reaches it>; a description ask the bot repeats after your reply is a dispute for the human reviewer, not another edit. A merge of main or a rebase that changes nothing of yours is not a round and earns no re-read.
  9. Convince with proof. Reply in every thread with the fixing commit, the refutation, or the filed issue or case; answer review-body findings in one pull request comment. Ground every statement in something the reviewer can verify (a test, command output, a file:line, a design doc, or a design choice the user made for this pull request) and reason from it; make no unsourced claim.
  10. Request a re-read only while one is owed. Before green you have at most two of your own: request one of the new commits under step 4's standing instruction, and without one ask the user whether, and at which width; skip it when the push already triggered one, never twice for one commit unless the first never arrived, and none for a draft until it is marked ready. A round whose only change is a body edit requests a re-read of the body on the same commit (/review fresh, one of the two), under the same split. A round that pushed nothing — every finding declined, deferred or refuted — requests no re-read: comment /request-review if no human is on it yet (who counts), so the human who rules on it is asked now. At the third reviewed commit, or once both re-reads are spent, comment /request-review if no human is on it yet — the command on the first line, then a line for the reviewer: where the fix for any 🔴 High is, that the bot re-runs on their /review, and that you will not ask for one — and stop: a requested reviewer is the end of self-service, and so is the auto-request workflow's hand-off comment (opening <!-- auto-request-review:handoff -->), which says one was requested. A green AI Review entry — No findings, No findings above low severity, or Found N issues, none holding — is settled: no /review in any form after it, no draft-to-ready or close-and-reopen to buy one; answer each open 🟠 Medium by reply, push a fix only for one you would have fixed unasked and say so in the thread, and the human reviewer rules on the rest. Re-request any human who asked for changes: their request, a /review that is not the author's, or a diff grown past twice the green head's size owes one more re-read, and nothing else does. On a finding that holds the check within that budget, return to step 1.
  11. Resolve what the push settled: each thread fixed by a commit or shown factually wrong; the description thread waits for the body edit or for a ruling on a disputed ask. A kube-agents-bot finding you declined stays open with its reply until a human rules on it — an approval, or a reply in the thread that accepts the decline; a reply that asks for the fix owes it, thread open — then resolve it, citing the ruling — with a user in the loop you may resolve it earlier once your reply and Self-Review give the reason, but a resolved thread collapses and the summoned reviewer may never see it. A disagreement with a human reviewer stays open for them, including one your reply settles by a design choice. The round went into Self-Review and Live validation with the push (step 8).

Read the full file on GitHub · 23 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. 3d ago Changed c14e09f5ed44
  2. 17d ago Changed · +5 tokens per session cffcddb69263
  3. 20d ago First seen · 23 lines · 47 tokens per session scan A 6998c3397340

Subscribe to this mod's changes

review-address-feedback is a skill published in the GitHub repository gke-labs/kube-agents (116 stars, last pushed today), licensed Apache-2.0. It adds 52 tokens to every session and 1,720 once invoked, about $0.0002 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 2026-10-07.

Related

Other skills, from other repositories

pr

Draft a PR body from OMC's paper trail — the smallest visual that proves the change, evidence consumed from the verify protocol (never re-collected), reversibility from the ADR test on the diff, glossary language throughout.

Yeachan-Heo/oh-my-claudecode · 47 tokens

merge-batch

Prepare and merge an owner-selected PR batch with contributor credit and exact-candidate admission. Use for a pasted PR list; combined focused validation is diagnostic, and every actual landing still requires its applicable checks and authorization.

diegosouzapw/OmniRoute · 46 tokens

otto-pr-review-loop

Run Polly and OCR on a PR until all findings settle.

omnigent-ai/omnigent · 17 tokens

engram-branch-pr

PR creation workflow for Engram following the issue-first enforcement system. Trigger: When creating a pull request, opening a PR, or preparing changes for review.

Gentleman-Programming/engram · 37 tokens

github-contributor

A step-by-step guide for contributing code, tests, documentation, or build changes to open-source projects you do not maintain. It explains how to prepare a pull request that follows the project’s rules and is easier for maintainers to review.

daymade/claude-code-skills · 105 tokens

revdiff

Review diffs, files, and documents with inline annotations in a TUI overlay, or answer questions about revdiff usage, configuration, themes, and keybindings. Opens revdiff in agterm/tmux/zellij/herdr/kitty/wezterm/cmux/ghostty/iterm2/emacs-vterm, captures annotations, and addresses them. Works in git, hg, and jj repos…

umputun/revdiff · 248 tokens