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.
npx agentmods add skills/corichui/yolo/yolo-featurenpx skills add CoriChui/yolo --skill yolo-featuregit clone --depth 1 https://github.com/CoriChui/yoloWrote 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.
[](https://agentmods.dev/skills/corichui/yolo/yolo-feature)<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>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.
| Model | Per session | Once 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 |
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.
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>/orfeature/<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 yetdonebefore 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, andsuccess_criteria. Writeworkspace/features/<slug>/brief.mdfrom.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.mdfor the worktree naming rule.- Run each billed atom as a subagent at its
workspace/config.yamlagents.<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.md→plan.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) — produceplan.md.
- yolo-research (
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.
- 6d ago First seen · 43 lines · 60 tokens per session scan A b7f8a291504a
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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