Borrowing it
Nothing to install: this file belongs to mtarcure/claude-vibe-squad. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mtarcure/claude-vibe-squad/main/.agents/skills/game-mechanics-balancing/SKILL.mdgit clone --depth 1 https://github.com/mtarcure/claude-vibe-squadWrote 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/mtarcure/claude-vibe-squad/game-mechanics-balancing)<a href="https://agentmods.dev/skills/mtarcure/claude-vibe-squad/game-mechanics-balancing"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/game-mechanics-balancing/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.
<a href="https://agentmods.dev/skills/mtarcure/claude-vibe-squad/game-mechanics-balancing"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/game-mechanics-balancing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00070 | $0.00284 |
| Opus 5 | $0.00035 | $0.00142 |
| Sonnet 5 | $0.00014 | $0.00057 |
| Haiku 4.5 | $0.00007 | $0.00028 |
Grade A, and why
game-mechanics-balancing 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 11d 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.
What it actually says
Game Mechanics Balancing
Tune numbers and systems so the game is fair, readable, and holds its intended difficulty curve — by model, not guesswork.
Steps
- Read the game-design contract; identify the systems to balance and the pillar each must serve.
- Build an explicit model of each system (costs, rewards, rates, probabilities); state assumptions about player skill.
- Balance against the intended difficulty curve (teach → test → twist); avoid dominant strategies and dead options.
- Identify feedback loops (positive/negative) and bound runaway or stalling states.
- Define the playtest/telemetry assertions that would prove the balance holds; mark values needing live playtest data as provisional, not final.
Acceptance
- Each balanced system has an explicit numeric model and skill assumption.
- No dominant strategy or dead option is left unexamined; feedback loops are bounded.
- Balance claims carry playtest/telemetry assertions; unverified values are marked provisional.
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.
- 11d ago First seen · 22 lines · 70 tokens per session scan A 81566def5b38
game-mechanics-balancing is a skill published in the GitHub repository mtarcure/claude-vibe-squad (148 stars, last pushed 2d ago), licensed MIT. It adds 70 tokens to every session and 284 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
gh-find-prs
Survey open Codewhale PRs and triage each for mergeability and disposition against the real landing branch.
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.
codew-release-qa-sweep
Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.
gh-file-issue
Use when filing a new Codewhale GitHub issue: turn a bug or idea into a well-formed, actionable issue with repro, acceptance criteria, labels, and milestone.
gh-treasure-hunt
Hunt the issue/PR queue for highest value-over-risk wins: clean focused community PRs, already-implemented issues to close, safe quick-fixes.
recording
Capture screenshots on registered computers, record on macOS or HarmonyOS, and manage saved captures. Probe capabilities before recording.