gf-pr-apply-feedback

gf-pr-apply-feedback is a skill for Claude Code, Codex from byx-darwin/gitflow-cli. It costs 52 tokens per session (1,668 once invoked), scanned A, original, MIT.

A workflow for applying comments and requested changes from a pull request review. A pull request is a proposed code change, and the workflow uses the gf command-line tool across GitHub, GitLab, and GitCode.

In plain words
What is it for?
Use it after a reviewer asks for changes, including inline comments or general change requests. It can apply fixes after confirmation, mark comments resolved, push the changes, and notify the reviewer.
Why use it?
It gives developers a defined way to collect pending review comments, handle them by priority, and report that they are resolved. It does not perform an initial review or merge the pull request.

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/byx-darwin/gitflow-cli/gf-pr-apply-feedback
Any agent
npx skills add byx-darwin/gitflow-cli --skill gf-pr-apply-feedback
Clone the repo
git clone --depth 1 https://github.com/byx-darwin/gitflow-cli

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 gf-pr-apply-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/byx-darwin/gitflow-cli/gf-pr-apply-feedback.svg)](https://agentmods.dev/skills/byx-darwin/gitflow-cli/gf-pr-apply-feedback)
Your own site
<a href="https://agentmods.dev/skills/byx-darwin/gitflow-cli/gf-pr-apply-feedback"><img src="https://agentmods.dev/badge/skills/byx-darwin/gitflow-cli/gf-pr-apply-feedback.svg" alt="Measured on agentmods" 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 1,668 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00052 $0.01668
Opus 5 $0.00026 $0.00834
Sonnet 5 $0.00010 $0.00334
Haiku 4.5 $0.00005 $0.00167

Measured 4d ago against content hash 86f588fd828d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gf-pr-apply-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 4d 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.

skills/gf-pr-apply-feedback/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

gf-pr-apply-feedback

CLI Requirement

MUST use gf CLI, NOT gh CLI.

CLI Scope Platform Support
gf This project GitHub + GitLab + GitCode
gh GitHub only GitHub only

Why: gf is the unified CLI for this project. Using gh breaks GitLab/GitCode compatibility.

Preconditions

  • gf installed: command -v gf
  • gf authenticated: gf auth status

Overview

Fetch pending review feedback · prioritize (security → logic → boundary → naming → style) · apply per-comment fix after user confirmation · mark resolved · push + notify reviewer. Does not review or merge.

When to Use

Trigger 中文 Redirect
apply / address / resolve feedback 应用/处理审查反馈
resolve comments 解决评论
apply / pick up review 审查后续
review PR initially 初次审查 gf-pr-review
inline diff review 行内审查 gf-pr-inline-review

When NOT to Use

Scenario Why Not Use Instead
Performing initial PR code review This skill applies existing feedback, not generates new reviews /gf-pr-review for initial 6-dimension code review
Creating a Pull Request This skill operates on existing PRs with pending feedback /gf-pr-create for PR creation workflow
Merging or closing PRs This skill applies feedback and resolves comments, not lifecycle ops /gf-pr for merge/close/reopen operations
Leaving inline review comments This skill resolves existing comments, not creates new ones /gf-pr-inline-review for line-level review comments
Rejecting or disputing reviewer feedback This skill applies feedback with user confirmation, not debates it Discuss with reviewer directly before applying
Running quality checks after fixes This skill focuses on applying feedback per-comment /gf-quality for full 6-gate quality verification

Core Pattern

gf pr view <pr>                               # fetch + list pending
# prioritize → confirm each comment with user
git checkout <pr-branch>                                       # confirmed PR branch
# per comment: edit → test → commit (referencing reviewer + location)
# Note: resolve comments via platform web UI (GitHub/GitLab)
git push origin <pr-branch>                                    # ONLY after explicit confirmation
gf pr comment <pr> --body "<summary>"                 # notify

Read the full file on GitHub · 179 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. 4d ago First seen · 179 lines · 52 tokens per session scan A 86f588fd828d

Subscribe to this mod's changes

gf-pr-apply-feedback is a skill published in the GitHub repository byx-darwin/gitflow-cli (2 stars, last pushed today), licensed MIT. It adds 52 tokens to every session and 1,668 once invoked, about $0.0003 per session on Opus 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 2026-08-31.

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