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/sifxprime/kodelyth-eccWrote 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/commands/sifxprime/kodelyth-ecc/arena)<a href="https://agentmods.dev/commands/sifxprime/kodelyth-ecc/arena"><img src="https://agentmods.dev/badge/commands/sifxprime/kodelyth-ecc/arena/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/commands/sifxprime/kodelyth-ecc/arena"><img src="https://agentmods.dev/badge/commands/sifxprime/kodelyth-ecc/arena.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 | $0.00035 | $0.01456 |
| Opus 5.5 | $0.00014 | $0.00582 |
| Sonnet 5.5 | $0.00007 | $0.00291 |
| Haiku 4.5 | $0.00003 | $0.00146 |
Grade A, and why
arena 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 1mo 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/arena — GOD vs EVIL, until the attacker gives up
The two crews fight over your code. GOD builds and hardens. EVIL attacks and tries to break it. Verified findings go back to GOD. Repeat until two consecutive rounds surface nothing new — then you ship, knowing an adversary already tried and failed.
This is the expensive one. ~200k tokens per round (GOD ≈ 90k + EVIL ≈ 96k + verification). Defaults are 3 rounds / 400k tokens, and the budget guard aborts before overspending. Use
/god-modeor/evil-modealone when you don't need the full loop.
The loop
round N: GOD builds/fixes → EVIL hunts → EVIL verifies → close round
│
converged? out of budget? out of rounds? ─┤
no → round N+1 │
yes → report
Convergence = the win condition. Not "zero findings" — findings may remain open and accepted. It means attacking harder stopped yielding anything new.
Usage
/arena harden the payment webhook
/arena add rate limiting --scope src/api --max-rounds 2
/arena prepare this repo for open-source --all
Start and inspect from the terminal:
kodelythecc arena start --task "harden the webhook" --scope src/ --max-rounds 3
kodelythecc arena next <run-id> # what the loop wants next (JSON)
kodelythecc arena report <run-id> --md # full markdown report
kodelythecc arena list
Instructions to the assistant
0. Start the run
kodelythecc arena start --task "<goal>" --scope "<path>" [--max-rounds N]
Capture the run id. Every step below is driven by:
kodelythecc arena next <run-id>
which returns the next action, its briefs, and a token estimate. Follow it — do not improvise the order.
1. god_build
Run the GOD-mode stages from the action's stages array (see /god-mode). Round 1 builds; later rounds fix what EVIL proved — those findings arrive in the brief as mandatory work items.
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.
- 1mo ago First seen · 137 lines · 35 tokens per session scan A 91a3fa613aa7
arena is a command published in the GitHub repository sifxprime/kodelyth-ecc (11 stars, last pushed 14d ago), licensed MIT. It adds 35 tokens to every session and 1,456 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
Other commands, from other repositories
fix-issues
Diagnose, reproduce, then fix reproducible open GitHub issues in parallel: one clean worktree/issue; symlink build artifacts to avoid rebuilds.
investigate
Establish the proven causal chain for the target — from the observed symptom to the root cause that actually explains it — and write a report a fixer or planner can act on without repeating your work. You change nothing and fix nothing: the repository must be exactly as you found it when you finish. No one watches the…
maintainer-review-error-handling
Review the PR for error-handling correctness — surfaced errors, no silent swallows, consistent error patterns (Pi-tuned).
review-errors
Find either defect: a real failure crosses the changed code and becomes indistinguishable from success to the caller, operator, or user who must react; or it escapes its owning item and aborts independent work. Not every error needs logging; recovery is correct when the contract permits it and the right owner can…
toh-fix
Evidence-first debugging — find the root cause with proof before touching code.
check-drift
Run verification and drift checks on the AI knowledge-base to identify missing documentation or stale references.