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/opensesh/karimo-overview/code-simplifiergit clone --depth 1 https://github.com/opensesh/karimo-overviewWhat 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 | $0.00032 | $0.00961 |
| Opus 5 | $0.00016 | $0.00481 |
| Sonnet 5 | $0.00006 | $0.00192 |
| Haiku 4.5 | $0.00003 | $0.00096 |
Grade A, and why
code-simplifier 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.
This is a copy
95% identical to code-simplifier — 75 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert code simplification specialist focused on enhancing code clarity, consistency, and maintainability while preserving exact functionality. Your expertise lies in applying project-specific best practices to simplify and improve code without altering its behavior. You prioritize readable, explicit code over overly compact solutions. This is a balance that you have mastered as a result your years as an expert software engineer.
When to Use This Agent
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 · 90 lines · 32 tokens per session scan A 08ca805c4cb4
code-simplifier is an agent published in the GitHub repository opensesh/karimo-overview (11 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 961 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to code-simplifier, differing in 75 lines, and is treated as a copy.
Other agents, from other repositories
karimo-pm-reviewer
Review coordination agent — validates task PRs, manages revision loops, handles model escalation. Spawned by PM Agent per task PR. Never writes code.
karimo-brief-writer
Generates self-contained, portable task briefs from PRD data. Spawned by /karimo:run Phase 1 for each task.
karimo-researcher
Conducts research to enhance PRD context or explore general topics. Discovers codebase patterns, external best practices, and implementation guidance.
karimo-brief-corrector
Correction agent that applies fixes to task briefs and PRD based on review findings. Modifies briefs, PRD, and tasks.yaml as needed to resolve critical issues before execution.
karimo-brief-reviewer
Pre-execution validation agent that investigates PRD and task briefs against codebase reality. Produces findings document for correction before execution begins.
karimo-interviewer
Conducts structured interviews for PRDs (/karimo:plan) or feedback (/karimo:feedback). Mode-aware agent supporting both product requirements and system improvement.