gf-pr-inline-review

gf-pr-inline-review is a skill for Claude Code, Codex from byx-darwin/gitflow-cli. It costs 37 tokens per session (1,617 once invoked), scanned A, original, MIT.

A review tool for adding comments directly to the changed lines of a pull request. A pull request is a proposed code change submitted for review.

In plain words
What is it for?
Use it to review a pull request line by line and publish comments on specific changed lines in GitHub, GitLab, or GitCode.
Why use it?
It keeps feedback next to the exact code it discusses, without mixing it with an overall approval decision or changing the code.

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-inline-review
Any agent
npx skills add byx-darwin/gitflow-cli --skill gf-pr-inline-review
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-inline-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/byx-darwin/gitflow-cli/gf-pr-inline-review.svg)](https://agentmods.dev/skills/byx-darwin/gitflow-cli/gf-pr-inline-review)
Your own site
<a href="https://agentmods.dev/skills/byx-darwin/gitflow-cli/gf-pr-inline-review"><img src="https://agentmods.dev/badge/skills/byx-darwin/gitflow-cli/gf-pr-inline-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 1,617 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 $0.00037 $0.01617
Opus 5 $0.00018 $0.00809
Sonnet 5 $0.00007 $0.00323
Haiku 4.5 $0.00004 $0.00162

Measured 4d ago against content hash 53fb062cdb25, 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-inline-review 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-inline-review/SKILL.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

gf-pr-inline-review

Publishes inline comments on PR changed lines. No review decisions, no code fixes, no unchanged-line comments.

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

When to Use

English 中文 Context
inline review 行内审查 line-level PR comments
line-level comments 逐行评论 per-line feedback
review PR line by line 逐行审查 PR per-file analysis
overall PR review PR 总体审查 NOTgf-pr-review
approve / request changes 审批 PR NOTgf-review

When NOT to Use

Scenario Why Not Use Instead
Submitting an overall review verdict This skill publishes line-level comments, not overall verdicts /gf-pr-review for 6-dimension review with approve/request-changes
Approving or requesting changes This skill only posts inline comments, not formal verdicts /gf-review for submitting approve/request-changes verdicts
Applying feedback as code fixes This skill comments on code, not modifies it /gf-pr-apply-feedback for applying fixes from review comments
Merging or closing the PR This skill has no lifecycle operations /gf-pr for merge/close/reopen
Commenting on unchanged lines This skill only comments on + (added) lines in the diff Use platform web UI for general PR comments
Publishing without user confirmation This skill requires explicit confirmation before every publish Non-negotiable — draft review is mandatory

Core Pattern

gf pr view <n>    # 1. verify PR open
gf pr diff <n>          # 2. fetch diff
# 3. analyze → draft comments
# 4. show draft → await user confirm
gf commit comment <sha> --body "<c>" --path <f> --line <l>  # 5. publish

Read the full file on GitHub · 186 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 · 186 lines · 37 tokens per session scan A 53fb062cdb25

Subscribe to this mod's changes

gf-pr-inline-review is a skill published in the GitHub repository byx-darwin/gitflow-cli (2 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 1,617 once invoked, about $0.0002 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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