feature-flow

feature-flow is a skill for Claude Code from sgaunet/claude-plugins. It costs 24 tokens per session (4,278 once invoked), scanned A, original, MIT.

A tool that coordinates a complete Git feature workflow across GitHub, GitLab, and Forgejo. Git is a system for tracking code changes, while branches, issues, commits, and merge requests organize work and review.

In plain words
What is it for?
Use it to create branches, inspect staged changes or issues, implement and verify changes, run linting and tests, create commits, and prepare or complete merges.
Why use it?
It removes repetitive setup around feature work and can apply checks before committing. It supports both already-staged changes and work started from an issue.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool; mentions Claude Code.

Part of the software-engineering plugin — 18 skills, 7 agents shipped together

Good fit Use it to create branches, inspect staged changes or issues, implement and verify changes, run linting and tests, create commits, and prepare or complete merges.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sgaunet/claude-plugins/feature-flow
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.

Any agent
npx skills add sgaunet/claude-plugins --skill feature-flow
Clone the repo
git clone --depth 1 https://github.com/sgaunet/claude-plugins

Made for: Claude Code.

Or install software-engineering, the plugin that ships this one along with the rest of its 18 skills, 7 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 feature-flow

README.md
[![agentmods](https://agentmods.dev/badge/skills/sgaunet/claude-plugins/feature-flow/github.svg)](https://agentmods.dev/skills/sgaunet/claude-plugins/feature-flow)
Your own site
<a href="https://agentmods.dev/skills/sgaunet/claude-plugins/feature-flow"><img src="https://agentmods.dev/badge/skills/sgaunet/claude-plugins/feature-flow/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 feature-flow

Your own site · 80×15
<a href="https://agentmods.dev/skills/sgaunet/claude-plugins/feature-flow"><img src="https://agentmods.dev/badge/skills/sgaunet/claude-plugins/feature-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,278 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 $0.00024 $0.04278
Opus 5.5 $0.00010 $0.01711
Sonnet 5.5 $0.00005 $0.00856
Haiku 4.5 $0.00002 $0.00428

Measured 21d ago against content hash 0bed10994eb8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feature-flow 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 21d 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.

plugins/software-engineering/skills/feature-flow/SKILL.md · 349 lines

How it starts

The opening of the file, as written. The whole thing — 349 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feature Flow

Orchestrate a complete git workflow for feature development. Two modes:

  1. Staged Changes Mode (default): Analyze staged changes → branch → create issue → commit
  2. Issue Mode (#<number>): Retrieve issue → validate relevance → branch → implement → lint → test → verify → commit → merge

Automates repetitive workflow setup (branching, issues, commits, quality checks, merge requests).

Mode Detection

Route based on $argument: first positional argument matching #<number> or bare <number> → Issue Mode; otherwise → Staged Changes Mode.

Issue Mode examples: /feature-flow #42, /feature-flow 42 --squash Staged Mode examples: /feature-flow, /feature-flow add user auth, /feature-flow --skip-issue

Staged Changes Mode (5 Phases)

Phase 1: Discovery & Validation (Automatic)

Execute parallel git commands: git status and git diff --staged

Detect Repository Host: Use the detect-repo-host skill to identify the hosting service (GitHub, GitLab, or Forgejo) and extract owner/repo details.

Analysis steps:

  1. Analyze staged changes:

    • Extract file paths, extensions, and types
    • Determine change type: new files → feat, test+fixes → fix, docs only → docs, structural → refactor, build/config → chore
    • Extract primary scope from directory (e.g., src/api/ → api, internal/auth/ → auth)
  2. Generate proposed branch name:

    • Format: <type>/<scope>-<description> (kebab-case, 2-4 words)
    • Types: feat, fix, refactor, docs, chore, test, perf, ci
    • Examples: feat/api-user-profile, fix/auth-jwt-validation, docs/readme-update

Error handling:

  • No staged changes → Abort: "No staged changes found. Stage files with 'git add' first."
  • Repository host detection fails → The detect-repo-host skill provides detailed error messages

Phase 2: Branch Creation (User Confirmation)

Parse flags: --skip-branch or -b → skip this phase.

If not skipped:

Read the full file on GitHub · 349 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. 21d ago First seen · 349 lines · 24 tokens per session scan A 0bed10994eb8

Subscribe to this mod's changes

feature-flow is a skill published in the GitHub repository sgaunet/claude-plugins (16 stars, last pushed 7d ago), licensed MIT. It adds 24 tokens to every session and 4,278 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 2026-09-25.

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