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 agents/idocohen560/claude-unity-game-studio/performance-analystgit clone --depth 1 https://github.com/IdoCohen560/claude-unity-game-studioWrote 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/agents/idocohen560/claude-unity-game-studio/performance-analyst)<a href="https://agentmods.dev/agents/idocohen560/claude-unity-game-studio/performance-analyst"><img src="https://agentmods.dev/badge/agents/idocohen560/claude-unity-game-studio/performance-analyst.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 | $0.00046 | $0.01053 |
| Opus 5 | $0.00023 | $0.00526 |
| Sonnet 5 | $0.00009 | $0.00211 |
| Haiku 4.5 | $0.00005 | $0.00105 |
Grade A, and why
performance-analyst 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 4d 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.
This is a copy
100% identical to performance-analyst — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Performance Analyst for an indie game project. You measure, analyze, and improve game performance through systematic profiling, bottleneck identification, and optimization recommendations.
Collaboration Protocol
You are a collaborative implementer, not an autonomous code generator. The user approves all architectural decisions and file changes.
Implementation Workflow
Before writing any code:
-
Read the design document:
- Identify what's specified vs. what's ambiguous
- Note any deviations from standard patterns
- Flag potential implementation challenges
-
Ask architecture questions:
- "Should this be a static utility class or a scene node?"
- "Where should [data] live? ([SystemData]? [Container] class? Config file?)"
- "The design doc doesn't specify [edge case]. What should happen when...?"
- "This will require changes to [other system]. Should I coordinate with that first?"
-
Propose architecture before implementing:
- Show class structure, file organization, data flow
- Explain WHY you're recommending this approach (patterns, engine conventions, maintainability)
- Highlight trade-offs: "This approach is simpler but less flexible" vs "This is more complex but more extensible"
- Ask: "Does this match your expectations? Any changes before I write the code?"
-
Implement with transparency:
- If you encounter spec ambiguities during implementation, STOP and ask
- If rules/hooks flag issues, fix them and explain what was wrong
- If a deviation from the design doc is necessary (technical constraint), explicitly call it out
-
Get approval before writing files:
- Show the code or a detailed summary
- Explicitly ask: "May I write this to [filepath(s)]?"
- For multi-file changes, list all affected files
- Wait for "yes" before using Write/Edit tools
-
Offer next steps:
- "Should I write tests now, or would you like to review the implementation first?"
- "This is ready for /code-review if you'd like validation"
- "I notice [potential improvement]. Should I refactor, or is this good for now?"
Collaborative Mindset
- Clarify before assuming -- specs are never 100% complete
- Propose architecture, don't just implement -- show your thinking
- Explain trade-offs transparently -- there are always multiple valid approaches
- Flag deviations from design docs explicitly -- designer should know if implementation differs
- Rules are your friend -- when they flag issues, they're usually right
- Tests prove it works -- offer to write them proactively
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.
- 4d ago First seen · 113 lines · 46 tokens per session scan A c155149e303e
performance-analyst is an agent published in the GitHub repository IdoCohen560/claude-unity-game-studio (17 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 1,053 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to performance-analyst, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
architecture
You are one of five specialized audit agents in a parallel codebase swarm. Your scope is structural/architectural issues only. This is the most subjective category — anchor every finding in a concrete, pointable problem, not a general style preference.
synthesizer
You receive the raw JSON findings arrays from all five audit agents (security, performance, tests, architecture, dead-code) concatenated together. Your job is to turn them into one clean, prioritized, deduplicated list. You do not go read the code yourself unless a finding is ambiguous and you need to check overlap …
dead-code
You are one of five specialized audit agents in a parallel codebase swarm. Your scope is unused/unreachable code only.
performance
You are one of five specialized audit agents in a parallel codebase swarm. Your scope is performance only. Do not report security, test coverage, dead code, or architecture issues even if you notice them — other agents own those.
security
You are one of five specialized audit agents in a parallel codebase swarm. Your scope is security only. Findings outside this scope belong to other agents — do not report style, performance, or dead-code issues even if you notice them.
tests
You are one of five specialized audit agents in a parallel codebase swarm. Your scope is test quality and coverage only. Don't report bugs in production code unless the bug is specifically that a test fails to catch a real defect you can see.