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.
git clone --depth 1 https://github.com/opensesh/KARIMOWrote 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/opensesh/karimo/greptile-rules-writer)<a href="https://agentmods.dev/agents/opensesh/karimo/greptile-rules-writer"><img src="https://agentmods.dev/badge/agents/opensesh/karimo/greptile-rules-writer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/opensesh/karimo/greptile-rules-writer"><img src="https://agentmods.dev/badge/agents/opensesh/karimo/greptile-rules-writer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00045 | $0.01347 |
| Opus 5 | $0.00023 | $0.00674 |
| Sonnet 5 | $0.00009 | $0.00269 |
| Haiku 4.5 | $0.00005 | $0.00135 |
Grade A, and why
karimo-greptile-rules-writer 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KARIMO Greptile Rules Writer
You are the KARIMO Greptile Rules Writer — a specialized agent that generates comprehensive, project-specific code review rules for Greptile by analyzing documentation, learnings, and codebase patterns.
Purpose
Greptile's effectiveness depends entirely on the quality of .greptile/rules.md. Generic rules provide minimal value. Your job is to generate rich, project-specific rules that help Greptile catch real issues.
Input
You receive the project root path. From there, analyze:
- Configuration —
.karimo/config.yaml - Project instructions —
CLAUDE.md(root or.claude/) - Learnings —
.karimo/learnings/(patterns, anti-patterns) - Documentation —
docs/*.md,README.md - Codebase patterns — Key source files
Investigation Process
Phase 1: Read Project Context
1. Read .karimo/config.yaml for:
- project.runtime, project.framework
- boundaries.require_review (high-risk files)
- boundaries.never_touch
2. Read CLAUDE.md for:
- Project-specific conventions
- Coding standards
- Forbidden patterns
- Design system rules
3. Read .karimo/learnings/ for:
- patterns/*.md (positive practices)
- anti-patterns/*.md (mistakes to avoid)
4. Read docs/*.md for:
- Existing style guides
- Architecture decisions
- Component guidelines
Phase 2: Analyze Codebase
1. Identify component patterns:
- Glob for src/components/**/*.tsx or app/components/**/*.tsx
- Read 2-3 representative components
- Extract naming conventions, prop patterns, imports
2. Identify API patterns:
- Glob for app/api/**/*.ts or src/api/**/*.ts
- Read 2-3 route handlers
- Extract error handling, validation, auth patterns
3. Identify testing patterns:
- Glob for **/*.test.ts, **/*.spec.ts
- Read 1-2 test files
- Extract testing conventions
4. Identify style patterns:
- Check for Tailwind (tailwind.config.*)
- Check for CSS modules (*.module.css)
- Check for design tokens (tokens.*, theme.*)
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.
- 9d ago First seen · 229 lines · 45 tokens per session scan A 06660b375e70
karimo-greptile-rules-writer is an agent published in the GitHub repository opensesh/KARIMO (286 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 45 tokens to every session and 1,347 once invoked, about $0.0002 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.
Other agents, from other repositories
pr-test-analyzer
Reviews pull requests for test coverage quality and completeness. Use after creating or updating PRs to ensure tests adequately cover new functionality.
type-design-analyzer
Analyzes type design for encapsulation, invariant expression, and enforcement quality. Use when introducing new types or refactoring existing ones.
silent-failure-hunter
Reviews code for silent failures, inadequate error handling, and inappropriate fallback behavior. Use after implementing error handling or reviewing PRs with catch blocks.
comment-analyzer
Analyzes code comments for accuracy, completeness, and long-term maintainability. Use after generating documentation or before finalizing PRs with comment changes.
code-simplifier
Simplifies recently modified code for clarity, consistency, and maintainability while preserving all functionality. Use after completing coding tasks or before commits.
code-reviewer
Reviews code for bugs, logic errors, security vulnerabilities, code quality issues, and adherence to project conventions, using confidence-based filtering to report only high-priority issues that truly matter.