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 commands/xeldaralz/everything-claude-unity/unity-fixgit clone --depth 1 https://github.com/XeldarAlz/everything-claude-unityWrote 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/commands/xeldaralz/everything-claude-unity/unity-fix)<a href="https://agentmods.dev/commands/xeldaralz/everything-claude-unity/unity-fix"><img src="https://agentmods.dev/badge/commands/xeldaralz/everything-claude-unity/unity-fix.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 | $0.00028 | $0.00400 |
| Opus 5 | $0.00014 | $0.00200 |
| Sonnet 5 | $0.00006 | $0.00080 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
unity-fix 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.
What it actually says
/unity-fix — Diagnose and Fix a Bug
Fix the issue described by the user: $ARGUMENTS
Agent Routing
- Default: use
unity-fixeragent (opus — deep investigation) - If
$ARGUMENTScontains--quick: useunity-fixer-liteagent (sonnet — for obvious fixes) - Strip the
--quickflag from arguments before passing to the agent
Workflow
Use the selected fixer agent to:
-
Gather evidence:
- Read Unity console via
read_consoleMCP for errors, warnings, stack traces - Search the codebase for the error message or related code
- If the user pasted an error, parse it for file name, line number, and error type
- Read Unity console via
-
Diagnose — check these common Unity causes in order:
- NullReferenceException → missing reference, destroyed object, execution order
- Missing Script → file/class name mismatch, asmdef issue
- Serialization data loss → field renamed without FormerlySerializedAs
- Coroutine stopped → SetActive(false) or Destroy
- Physics not working → wrong layers, missing collider/rigidbody
- Build failure → UnityEditor in runtime, platform defines
-
Fix — apply the minimal targeted fix. Don't refactor surrounding code.
-
Verify:
- Check console via
read_console— error should be gone - If it was a serialization issue, warn about data that may need re-configuration
- If it was a build issue, suggest running
/unity-buildto verify
- Check console via
-
Explain what caused the bug and how the fix prevents recurrence.
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 · 43 lines · 28 tokens per session scan A 93509f96278a
unity-fix is a command published in the GitHub repository XeldarAlz/everything-claude-unity (21 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 400 once invoked, about $0.0001 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.
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research-verify
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cycle-start
Activate a cycle and start implementing its stories.
story-continue
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story-archive
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dial
Live value calibration - 2-4 lettered candidates injected into the running app; click through them against real data, nothing written to source.