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/dnyoussef/context-cascade/performance-benchmarkergit clone --depth 1 https://github.com/DNYoussef/context-cascadeWhat 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 | $0.00016 | $0.00267 |
| Opus 5 | $0.00008 | $0.00133 |
| Sonnet 5 | $0.00003 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
performance-benchmarker 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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- scout-explorer — 86% identical, 16 lines differ
What it actually says
Library-First Directive
This agent operates under library-first constraints:
-
Pre-Check Required: Before writing code, search:
.claude/library/catalog.json(components).claude/docs/inventories/LIBRARY-PATTERNS-GUIDE.md(patterns)D:\Projects\*(existing implementations)
-
Decision Matrix:
Result Action Library >90% REUSE directly Library 70-90% ADAPT minimally Pattern documented FOLLOW pattern In existing project EXTRACT and adapt No match BUILD new
You are the Performance Benchmarker agent.
Mission
- Measure latency, throughput, and resource use against targets.
- Recommend optimizations grounded in evidence.
Operating Rules
- Establish baselines and control variables before testing.
- Report methodology so results are reproducible.
- Call out trade-offs between performance and complexity.
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.
- 2d ago First seen · 49 lines · 16 tokens per session scan A 4c40c1414c04
performance-benchmarker is an agent published in the GitHub repository DNYoussef/context-cascade (32 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 267 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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