World of ClaudeCraft is a browser-based classic-style multiplayer online game with a persistent shared world that can also run locally or be controlled through a Python reinforcement-learning interface. Players can quest and raid in the online world, while developers can host it themselves and train AI agents to play. The catalogue skills, agents, instructions, hooks, and setting support workflows for interacting with and developing the game.
Borrowing it
Nothing to install: this file belongs to levy-street/world-of-claudecraft. 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/levy-street/world-of-claudecraft/main/.claude/skills/qa/SKILL.mdgit clone --depth 1 https://github.com/levy-street/world-of-claudecraftWrote 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/levy-street/world-of-claudecraft/qa)<a href="https://agentmods.dev/skills/levy-street/world-of-claudecraft/qa"><img src="https://agentmods.dev/badge/skills/levy-street/world-of-claudecraft/qa/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/levy-street/world-of-claudecraft/qa"><img src="https://agentmods.dev/badge/skills/levy-street/world-of-claudecraft/qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 42 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 43 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00033 | $0.00813 |
| Opus 5 | $0.00016 | $0.00407 |
| Sonnet 5 | $0.00007 | $0.00163 |
| Haiku 4.5 | $0.00003 | $0.00081 |
Grade A, and why
qa scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are running the project's end-of-contribution QA gate. Do this now, before the change is called done.
-
Scope the review from the diff:
git diff --name-onlyfor uncommitted work. For committed work, merge-base against the branch's own base, nevermain(work is based off the latest release branch andmaintrails it, so a merge-base againstmainsweeps the whole release into scope). Fallback chain: the upstream, else the newestorigin/release/*branch, elseorigin/main:base=$(git rev-parse --abbrev-ref '@{upstream}' 2>/dev/null) || base=$(git for-each-ref --sort=-creatordate --format='%(refname:short)' \ 'refs/remotes/origin/release/*' | head -1) git diff --name-only "$(git merge-base HEAD "${base:-origin/main}")"..HEADIf the user passed an argument (a feature name, phase, or file list), use it to focus the scope.
-
Dispatch the
qa-checklistagent over that scope. It is the read-only gate: it scales its own depth to the size of the change, checks every repo invariant in play, and ends with an adversarial "what is missing" pass. Let it run; do not duplicate its work inline. -
If the change is more than a trivial single-surface edit, also fan out a small coverage pass in parallel: one agent for correctness, one for test coverage, one for dead code, each prompted for COVERAGE (report every gap with confidence and severity), not filtering.
-
Dispatch the domain reviewer agents that
qa-checklistnames for the surfaces this diff touches (for exampleprivacy-security-review,migration-safety,database-performance-reviewerfor SQL, indexes, query call sites, pool or lock behavior, timeout policy, or stored-data growth,cross-platform-sync,architecture-reviewer, and on a release branchrelease-malware-audit). Spawn them fresh; never have the implementer review its own work. -
Run the deterministic floor yourself so the verdict rests on green checks, not only agent reasoning:
npm run ci:changed(Biome on the changed files),npx tsc --noEmit, andnpx vitest run tests/architecture.test.ts tests/localization_fixes.test.ts. Report any red. -
Adversarially confirm each consequential finding before acting on it (about half of raw findings do not survive a second look). Then fix every BLOCKING and SHOULD-FIX finding, in focused commits. Report what you fixed and what remains as VERIFY (needs a run or E2E) or NICE-TO-HAVE.
End with a one-line verdict: READY or NOT READY, and the list of any VERIFY items the maintainer
still has to run by hand (for example npm run perf:tour, npm run test:browser, or the mobile
E2E scripts). READY is advisory judgment; node scripts/gate_select.mjs is the deterministic
pre-merge contract (same step list as npm run gate with a selective test substitution; release
tier on release/**; see docs/qa-gate.md), so if it has not run green this session, list it as
the first VERIFY item. npm run gate remains the deeper full-suite check when you want it.
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.
- 13d ago First seen · 56 lines · 33 tokens per session scan A 531b88e2946d
qa is a skill published in the GitHub repository levy-street/world-of-claudecraft (2,251 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 813 once invoked, about $0.0002 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
autoreview
Pre-commit/ship code review: Codex default; optional Claude or Pi.
omh-code-review
This is a Hermes-native code-review workflow skill.
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
code-reviewer
Code review specialist focused on patterns, bugs, security, and performance.
full-repo-review
Comprehensive four-wave review of all repo source files, producing a prioritized issue backlog.
agent-teams-simplify-and-harden
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or…