Borrowing it
Nothing to install: this file belongs to Fmarzochi/EGC. 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/Fmarzochi/EGC/main/.kiro/steering/performance.mdgit clone --depth 1 https://github.com/Fmarzochi/EGCWrote 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/instructions/fmarzochi/egc/performance)<a href="https://agentmods.dev/instructions/fmarzochi/egc/performance"><img src="https://agentmods.dev/badge/instructions/fmarzochi/egc/performance.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 5.1 | $0.00303 | $0.00303 |
| Opus 5 | $0.00151 | $0.00151 |
| Sonnet 5 | $0.00061 | $0.00061 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
EGC performance.md 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 today.
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
Performance Optimization
Model Selection Strategy
Gemini Haiku 4.5 (90% of Sonnet capability, 3x cost savings):
- Lightweight agents with frequent invocation
- Pair programming and code generation
- Worker agents in multi-agent systems
Gemini Sonnet 4.5 (Best coding model):
- Main development work
- Orchestrating multi-agent workflows
- Complex coding tasks
Gemini Opus 4.5 (Deepest reasoning):
- Complex architectural decisions
- Maximum reasoning requirements
- Research and analysis tasks
Context Window Management
Avoid last 20% of context window for:
- Large-scale refactoring
- Feature implementation spanning multiple files
- Debugging complex interactions
Lower context sensitivity tasks:
- Single-file edits
- Independent utility creation
- Documentation updates
- Simple bug fixes
Extended Thinking
Extended thinking is enabled by default in Kiro, reserving tokens for internal reasoning.
For complex tasks requiring deep reasoning:
- Ensure extended thinking is enabled
- Use structured approach for planning
- Use multiple critique rounds for thorough analysis
- Use sub-agents for diverse perspectives
Build Troubleshooting
If build fails:
- Use build-error-resolver agent
- Analyze error messages
- Fix incrementally
- Verify after each fix
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.
- today First seen · 55 lines · 303 tokens per session scan A 84cbc28e24d3
EGC performance.md is an instructions file published in the GitHub repository Fmarzochi/EGC (48 stars, last pushed yesterday), licensed Apache-2.0. It adds 303 tokens to every session, about $0.0015 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 2026-09-06.
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