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/.agents/skills/woc-codex-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/woc-codex-audit)<a href="https://agentmods.dev/skills/levy-street/world-of-claudecraft/woc-codex-audit"><img src="https://agentmods.dev/badge/skills/levy-street/world-of-claudecraft/woc-codex-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/woc-codex-audit"><img src="https://agentmods.dev/badge/skills/levy-street/world-of-claudecraft/woc-codex-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 | $0.00073 | $0.00636 |
| Opus 5.5 | $0.00029 | $0.00254 |
| Sonnet 5.5 | $0.00015 | $0.00127 |
| Haiku 4.5 | $0.00007 | $0.00064 |
Grade A, and why
woc-codex-audit 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 2mo 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex Architecture Audit
Evaluate whether Codex receives concise, safe, current, and scalable operating context without altering the Claude Code architecture. An audit request is read-only. Apply fixes only when the user explicitly requests implementation.
Preserve boundaries
- Read the root
CLAUDE.md,AGENTS.md, and relevant localCLAUDE.mdfiles. - Run
git status --shortand preserve unrelated work. - Treat root and local
CLAUDE.mdfiles as canonical repository truth. - Do not edit
CLAUDE.mdor.claude/**as part of Codex support work.
Codex files should point to canonical instructions and add only Codex runtime guidance.
Research current behavior
Use current official OpenAI documentation for Codex configuration, skills, agents, hooks, permissions, model selection, and CI. Clearly separate documented facts from inference. Keep repository guidance model-neutral unless a task has an evidence-backed capability requirement, and prefer inheritance over project model pins.
Use the woc_docs_researcher custom agent for a bounded official-documentation pass when
it is available. Verify consequential recommendations against the cited primary source.
Inventory
Inspect AGENTS.md, .codex/**, .agents/skills/**, custom agents, hooks, Codex GitHub
workflows, AI-facing scripts and tests, documentation, ignore rules, and malware scanner
coverage. Identify duplicated, abandoned, shadowed, untracked, or conflicting settings.
Assess
Verify that:
- canonical instructions are referenced instead of copied;
- guidance encodes decisions that a simple search cannot recover;
- skill triggers and implicit-invocation policy match risk;
- external writes require explicit authorization;
- review-only workflows remain read-only;
- the coordinator owns command execution and reviewers are scoped;
- models, effort, permissions, and providers are not unnecessarily pinned;
- hooks are fast, deterministic, local, and secret-safe;
- CI isolates untrusted input, uses least privilege, and protects credentials;
- worktree, dirty-tree, branch, and commit rules protect concurrent sessions;
- shared and personal Codex state have deliberate tracking rules;
- tests and scanners cover instruction-bearing Codex files;
- documentation matches effective configuration.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 60 lines · 73 tokens per session scan A a330bd21c4d6
woc-codex-audit is a skill published in the GitHub repository levy-street/world-of-claudecraft (2,323 stars, last pushed today), licensed MIT. It adds 73 tokens to every session and 636 once invoked, about $0.0003 per session on Opus 5.5. 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
Structured code review through the shared OpenClaw agent-skills installation.
omh-code-review
This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
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"…
explore-unknowns
Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…
re0-merge
Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…
asplos-writing-style
Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…