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/release-malware-audit/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/release-malware-audit)<a href="https://agentmods.dev/skills/levy-street/world-of-claudecraft/release-malware-audit"><img src="https://agentmods.dev/badge/skills/levy-street/world-of-claudecraft/release-malware-audit/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/release-malware-audit"><img src="https://agentmods.dev/badge/skills/levy-street/world-of-claudecraft/release-malware-audit.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 | $0.00119 | $0.01437 |
| Opus 5 | $0.00060 | $0.00718 |
| Sonnet 5 | $0.00024 | $0.00287 |
| Haiku 4.5 | $0.00012 | $0.00144 |
Grade A, and why
release-malware-audit scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
knows this repo's legitimate patterns (the `$WOC` crypto-wallet, `child_process` in build How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Release malware audit: whole-tree check for planted malicious code
This is a release gate. Its one job is to answer: does this tree contain code that was
deliberately written to harm users, operators, or the supply chain? Crypto miners,
data/secret exfiltration, backdoors and auth bypasses, RCE/obfuscation, web3 wallet-drain /
key theft (the class that would steal a user's $WOC), prompt-injection planted in the
agent/skill instruction files, and package.json install hooks or risky dependencies. It
does NOT look for accidental security bugs - that is privacy-security-review's job - and it
never modifies code. A human acts on a BLOCK.
The work is split so each half does what it is good at:
scripts/malware_scan.mjsis a deterministic, high-recall FLAGGER. It greps a curated signature catalog and emits structured findings. It is deliberately noisy: a regex hit is a question, not a verdict.- The
release-malware-auditagent is the JUDGE. It reads the flagged code in context, knows this repo's legitimate patterns (the$WOCcrypto-wallet,child_processin build scripts, real auth comparisons), and decides real-vs-false-positive.
Steps
-
Run the scanner over the whole tree:
mkdir -p tmp && node scripts/malware_scan.mjs --json --quiet > tmp/malware_scan.jsonIt exits non-zero whenever there are findings (expected; most are false positives). Note
totalFindingsand the per-category counts. A scan-failure exit (2) means fix the run before trusting any result - never report PASS off a scan that did not complete.npm run security:scanis the same human-readable flagger. CI andnpm run security:gaterun--gate, which exits non-zero only on a HIGH-severity finding that survives the path-aware priors (tests/malware_scan.test.tsasserts the tree is HIGH-clean, so a planted signature breaksnpm test). This skill is the deeper, agent-judged pass on top of that. -
Triage by fanning out the agent. Group the findings by
category. Dispatch the read-onlyrelease-malware-auditagent, one invocation per category that has findings (categories are independent, so run them in parallel in a single message). Give each agent its category's findings (or point it attmp/malware_scan.jsonand the category) and have it read the flagged files and return confirmed-vs-dismissed for that category. For a small number of total findings, a single agent invocation over all of them is fine.
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 · 92 lines · 119 tokens per session scan A b2dd6ffd6397
release-malware-audit is a skill published in the GitHub repository levy-street/world-of-claudecraft (2,251 stars, last pushed yesterday), licensed MIT. It adds 119 tokens to every session and 1,437 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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