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/can1357/oh-my-pi/initgit clone --depth 1 https://github.com/can1357/oh-my-piWhat 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 | $0.00010 | $0.00290 |
| Opus 5 | $0.00005 | $0.00145 |
| Sonnet 5 | $0.00002 | $0.00058 |
| Haiku 4.5 | $0.00001 | $0.00029 |
Grade A, and why
init 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 yesterday.
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
Use parallel task research agents: core src, tests, configs/build, scripts/docs; synthesize findings into one AGENTS.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.
- yesterday First seen · 34 lines · 10 tokens per session scan A 47ea78a9c427
init is an agent published in the GitHub repository can1357/oh-my-pi (28,439 stars, last pushed yesterday), licensed MIT. It adds 10 tokens to every session and 290 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.
Other agents, from other repositories
rulecheck-agent
Autonomous code quality agent that scans for rule violations, fixes them in an isolated worktree, runs validation, creates a PR, and updates memory with findings for future runs.
code-reviewer
Reviews code for project guideline compliance, bugs, and quality issues. Use after writing code, before commits, or before PRs. Specify files to review or defaults to unstaged git changes. High-confidence issues only (80+) to minimize noise.
codebase-explorer
Comprehensive codebase exploration - finds WHERE code lives AND shows HOW it's implemented. Use when you need to locate files, understand directory structure, AND extract actual code patterns. Combines file finding with pattern extraction in one pass.
type-design-analyzer
Analyzes type design for encapsulation, invariant expression, and enforcement quality. Use when introducing new types, reviewing PRs with type changes, or refactoring existing types. Provides qualitative feedback and ratings (1-10) on four dimensions. Pragmatic focus.
code-simplifier
Identifies code simplification opportunities for clarity and maintainability while preserving exact functionality. Use after writing or modifying code. Focuses on recently changed code unless told otherwise. Reports findings with before/after suggestions. Advisory only - does not modify files.
codebase-analyst
Use proactively to understand HOW code works. Analyzes implementation details, traces data flow, and documents technical workings with precise file:line references. The more specific your request, the better the analysis.