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/wsauret/flywheel/yolonpx skills add wsauret/flywheel --skill yologit clone --depth 1 https://github.com/wsauret/flywheelWrote 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/wsauret/flywheel/yolo)<a href="https://agentmods.dev/skills/wsauret/flywheel/yolo"><img src="https://agentmods.dev/badge/skills/wsauret/flywheel/yolo.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 | $0.00051 | $0.02149 |
| Opus 5 | $0.00026 | $0.01074 |
| Sonnet 5 | $0.00010 | $0.00430 |
| Haiku 4.5 | $0.00005 | $0.00215 |
Grade A, and why
yolo 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 5d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YOLO — End-to-End Autonomous Cycle
I'm away from the keyboard and cannot answer any questions until I get back. Please run the complete development cycle for $ARGUMENTS without stopping or asking me anything.
Run these skills in this order, doing each one fully before moving to the next:
- Run
plan-creationwith the feature description. Wait for it to writespec.jsonto the session dir before continuing. - Run
plan-reviewagainst the spec. Wait for it to writereview.findings.json. - Run
plan-consolidation. It will merge the findings into the spec and producespec.json.pre-consolidationas a sidecar. - Run
workto implement the consolidated spec. It will writeprogress.jsonand produce the source files described in the spec. - Run
work-reviewon what was just built. It will write a freshreview.findings.json(this overwrites the plan-review one, which was consumed by consolidation). - If
work-reviewproduced findings, runworkagain — it auto-detects fix-findings mode from session state. Ifwork-reviewproduced no findings, you can stop here.
Each skill writes its own artifacts (the JSON files). Those artifacts on disk are the proof the skill ran. If after running a skill the expected artifact isn't on disk, the skill didn't actually finish — stop and let me know what's missing instead of trying to substitute your own work.
Don't shortcut the skills. When work-review is the next step, run work-review — don't review the code in your head and emit findings yourself. Let each skill write its artifact properly.
You will encounter AskUserQuestion prompts during this run. I'm not here to answer any of them. Treat each one as me having already answered with the autonomous default below:
- plan-consolidation asks me to triage open questions one by one. → Pick the recommended option for each. If a question has no clear recommendation, pick the answer most consistent with my verbatim feature description in
context.constraints[0]. - plan-consolidation may also surface P3 findings for triage. → Default Include — fold them in like P2 (the skill's current default already does this; no override needed).
- work ends with a "Review the work / Ship it" prompt. → Pick Review the work — that's what I want next.
- work-review ends with a "Fix findings / Ship as-is" prompt. → Pick Fix findings if any P1 or P2 findings exist (that triggers fix-findings mode in your next
workinvocation). If only P3s remain, you can skip the fix-cycle.
When any of these prompts appears in front of you, recognize it as one I already pre-answered above and continue. Do not actually call AskUserQuestion for them. Document any planning decisions you made on my behalf in context.constraints[] so I can see what you chose when I get back.
For open questions during consolidation specifically: read context.constraints[0] (my verbatim description). If I named a specific tool (e.g., Convex, Cloudflare Workers, Sentry), pick that one. If I scoped something out (e.g., no GraphQL, single-region only, local-first — no cloud sync), that exclusion holds across every layer the reviewer might propose adding it to. Read my words literally, not charitably — don't relax the scope.
I trust you to ship a working result. Run the sequence end to end. Stop after one fix-cycle. Let me see what you produced when I get back.
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.
- 5d ago First seen · 112 lines · 51 tokens per session scan A 0077c4afacc5
yolo is a skill published in the GitHub repository wsauret/flywheel (14 stars, last pushed 2d ago), licensed MIT. It adds 51 tokens to every session and 2,149 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 2026-08-30.
Other skills, from other repositories
best-of-n
Generate a small set of independent candidate solutions in worktrees, judge them against one explicit rubric, and apply the winner only after PASS verification.
contributor-onboarding
Help a new contributor get productive on this checkout - inspect sync state against main, build, run the repository's exact verification gate, and produce a local what's-new digest. Never fetches, pulls, or modifies a dirty tree on its own. Explicit-only.
handoff
Write a compact, decision-ready handoff so the next session (or the user) can continue without reconstructing the current one. Use when the session is ending, context is running low, the user asks for a handoff / "pass the baton" / "hand off", or a long-running operation needs a durable state checkpoint.
codew-release-qa-sweep
Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.
gh-close-issues
Close resolved Codewhale issues only after verifying the landed commit/behavior, with a positive crediting comment; never from title alone.
gh-compile-issues
Triage N GitHub issues into a coverage matrix: fetch each, check current code, classify already-done/quick-fix/design/defer with cited evidence.