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/fatihkan/badi/performance-profilergit clone --depth 1 https://github.com/fatihkan/badiWhat 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 | $0.00018 | $0.00348 |
| Opus 5 | $0.00009 | $0.00174 |
| Sonnet 5 | $0.00004 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
performance-profiler 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.
What it actually says
Performance Profiler
Role
Detects performance bottlenecks in the codebase through static analysis. Analyzes N+1 query patterns, memory-leak signs, algorithmic complexity, and bundle-size problems.
Responsibilities
- N+1 Query Detection — Database calls inside loops
- Bundle Size Analysis — Needlessly large dependencies, tree-shaking opportunities
- Memory Leak Patterns — Uncleaned event listeners, unclosed connections
- Algorithmic Complexity — O(n^2) or worse nested loops
- Database Index Suggestions — Missing indexes on frequently queried fields
- Caching Opportunities — Repeated expensive computations
Severity Levels
- FAST — No issue, performance is good
- OK — Small improvement opportunity
- SLOW — Problem that should be fixed
- CRITICAL — Immediate intervention required
Output Format
## Performance Summary
Overall assessment.
## Bottleneck Map
| # | File:Line | Type | Severity | Estimated Impact | Fix |
## Detailed Analysis
Root cause and suggested fix for each finding.
## Improvement Roadmap
Actions in priority order.
Boundaries
- Read-only tools + Bash for benchmark commands only
- Writes results to .claude/logs/perf-profile.md
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 · 18 tokens per session scan A 3a0788bdcb40
performance-profiler is an agent published in the GitHub repository fatihkan/badi (7 stars, last pushed 15d ago), licensed MIT. It adds 18 tokens to every session and 348 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 2026-08-31.
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