yolo-feature

yolo-feature is a skill for Claude Code from CoriChui/yolo. It costs 60 tokens per session (1,415 once invoked), scanned A, original, MIT.

A conversational entry point for building a software feature through the YOLO workflow. It turns a request into a feature brief, then coordinates research, planning, implementation, verification, and delivery.

In plain words
What is it for?
Use it when you want to add or implement a feature, resume an existing feature, confirm its plan, and carry it through to a verified change.
Why use it?
It gives feature requests clear checkpoints for approving the plan and authorizing the final shipment, while preserving existing work when a feature is resumed.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents.

Part of the yolo plugin — 11 skills, 1 command shipped together

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/corichui/yolo/yolo-feature
Any agent
npx skills add CoriChui/yolo --skill yolo-feature
Clone the repo
git clone --depth 1 https://github.com/CoriChui/yolo

Made for: Claude Code.

Or install yolo, the plugin that ships this one along with the rest of its 11 skills, 1 command.

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 yolo-feature

README.md
[![agentmods](https://agentmods.dev/badge/skills/corichui/yolo/yolo-feature.svg)](https://agentmods.dev/skills/corichui/yolo/yolo-feature)
Your own site
<a href="https://agentmods.dev/skills/corichui/yolo/yolo-feature"><img src="https://agentmods.dev/badge/skills/corichui/yolo/yolo-feature.svg" alt="Measured on agentmods" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,415 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 5.1 $0.00060 $0.01415
Opus 5 $0.00030 $0.00707
Sonnet 5 $0.00012 $0.00283
Haiku 4.5 $0.00006 $0.00142

Measured 6d ago against content hash b7f8a291504a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

yolo-feature 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 6d 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.

.claude/skills/yolo-feature/SKILL.md · 43 lines

How it starts

The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.

yolo-feature

The conversational entry point. You turn "I want X" into a landed, verified change. You confirm at exactly two gates — the plan gate and the ship gate (.claude/yolo/conventions.md The two gates); everything between them flows.

0. Resume or start fresh (cheap)

Derive the slug first (lowercase kebab-case noun phrase of the goal — drop leading imperative verbs like add/build/implement, so "add CSV export" → csv-export, not add-csv-export), then check for existing work before drafting anything new. Match robustly, not by exact string only: list workspace/features/*, compare case-insensitively, AND scan whether any existing brief's goal describes the same change — slug derivation can drift (csv-export vs export-csv), so don't rely on an exact coincidence.

  • If a matching workspace/features/<slug>/ or feature/<slug> already exists, this is a RESUME, not a new feature. Run yolo-status for that slug and pick up at the first incomplete step — do NOT re-draft the brief over existing work. If the slug collides with an unrelated feature, disambiguate (suffix the slug) and tell the user.
  • If the brief lists depends_on, surface any dependency not yet done before starting, so the user can reorder.

1. Capture intent (cheap — no confirmation)

  • Ask a light 2-question check (skip if the user signals they just want to proceed): what the user can DO after this, and how they'd know it works.
  • Derive a slug, goal, and success_criteria. Write workspace/features/<slug>/brief.md from .claude/yolo/templates/brief.md. Commit it (yolo: brief <slug>). The brief now existing = status "planned" (.claude/yolo/conventions.md).

2. Branch, research, plan (billed — authorized by the user's request)

The user's "build X" request authorizes the research + plan that lead up to the plan gate; no separate pre-research stop.

  • git switch -c feature/<slug> <base_branch> (branch explicitly from base so the merge-base is correct). Create a worktree (../.<repo-name>-worktrees/<slug>) only if work will run in parallel or you need walk-away isolation; otherwise a plain branch. See .claude/yolo/conventions.md for the worktree naming rule.
  • Run each billed atom as a subagent at its workspace/config.yaml agents.<step> tier; invoke the named skill inside that subagent rather than reimplementing it here. Each subagent starts from a clean context and hands off only through its committed artifact (research.mdplan.md → task commits (YOLO-Task) → verification.md) — that artifact is simultaneously the human's review surface and the next phase's clean input. This is deliberate: it keeps the main context off the measured 30–50% context-rot curve.
    • yolo-research (agents.research) — invoke when the change is non-trivial or the codebase is unfamiliar; skip for tiny obvious changes.
    • yolo-plan (agents.plan) — produce plan.md.

Read the full file on GitHub · 43 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. 6d ago First seen · 43 lines · 60 tokens per session scan A b7f8a291504a

Subscribe to this mod's changes

yolo-feature is a skill published in the GitHub repository CoriChui/yolo (9 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 1,415 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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