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 instructions/sifxprime/kodelyth-ecc/claude-mdgit 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/instructions/sifxprime/kodelyth-ecc/claude-md)<a href="https://agentmods.dev/instructions/sifxprime/kodelyth-ecc/claude-md"><img src="https://agentmods.dev/badge/instructions/sifxprime/kodelyth-ecc/claude-md.svg" alt="Measured on agentmods" 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 | $0.01844 | $0.01844 |
| Opus 5 | $0.00922 | $0.00922 |
| Sonnet 5 | $0.00369 | $0.00369 |
| Haiku 4.5 | $0.00184 | $0.00184 |
Grade A, and why
kodelyth-ecc CLAUDE.md 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.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Guidance for Claude Code when working with this repository.
Project Overview
Kodelyth ECC — a production-grade AI coding toolkit:
- 70 specialist agents — debug-detective, incident-commander, load-tester, image-architect, kodelyth-memory, security-reviewer, plus 8 adversarial devil-mode agents
- 196 skills — domain knowledge, patterns, testing, security, intent routing, local memory, swarm orchestration, MCP integration
- 102 commands — slash workflows (
/tdd,/plan,/code-review,/team-review,/devil-mode,/debug-blitz,/security-audit, ...) - 22+ hooks — quality gates, memory inject + capture, correction encoding, prompt-injection guard, token-budget enforcer
- 14 rules — always-on coding standards + semantic intent routing + memory protocol + self-improvement
Works with Claude Code, Windsurf, Cursor, Codex CLI, Antigravity, OpenCode, Cline, Roo Code, Aider, Kimi, and Gemini CLI — 11 platforms (13 install targets).
Architecture
agents/ → 70 specialist subagents (planner, code-reviewer, debug-detective, devil-mode crew, ...)
commands/ → 102 slash commands (8 parallel multi-agent, 1 adversarial loop, rest single-agent)
skills/ → 196 workflow + domain knowledge files (loadable via slash commands)
hooks/ → 22+ automations (pre-commit, session memory, prompt-injection guard, token-budget)
rules/ → 14 always-on guidelines (agent-intent-routing, self-improvement, memory-protocol, ...)
scripts/ → Node.js utilities: MCP server, dashboard, swarm, replay, router, memory, supply-chain
bundles/ → 3 power bundles (indie-hacker, red-team, enterprise)
actions/ → GitHub Action (CI/CD integration for PR review)
docs/ → Feature docs (arena.md, mcp.md, dashboard.md, swarm.md, replay.md, evolve.md, supply-chain.md)
tests/ → 572 passing tests across 30 test files
Running Tests
npm test
# or directly
node tests/run-all.js
CLI Subcommands
Beyond install, the npx kodelyth-ecc CLI exposes:
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 Changed a00359f31223
- 4d ago First seen · 147 lines · 1,844 tokens per session scan A 1acfe625f4d7
kodelyth-ecc CLAUDE.md is an instructions file published in the GitHub repository sifxprime/kodelyth-ecc (11 stars, last pushed 2d ago), licensed MIT. It adds 1,844 tokens to every session, about $0.0092 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 instructions, from other repositories
codevira CLAUDE.md
Instructions for sachinshelke/codevira, covering codevira — persistent project memory, when to call which codevira tool, at the start of every session, before modifying any file and before adopting a pattern, library, or naming convention.
codevira AGENTS.md
Instructions for sachinshelke/codevira, covering codevira-tracked project memory: codevira, locked decisions (donotrevert), active conventions, codevira — persistent project memory and when to call which codevira tool.
codevira GEMINI.md
Instructions for sachinshelke/codevira, covering codevira — persistent project memory, when to call which codevira tool, at the start of every session, before modifying any file and before adopting a pattern, library, or naming convention.
practical-coding AGENTS.md
AGENTS.md instructions for Hubujiu/practical-coding: This repository is an Agent Skill. If you are a coding agent reading this file from a checkout, apply the skill as follows.
hermes-model-auto-switch AGENTS.md
Instructions for rhishi99/hermes-model-auto-switch, covering install, verify, uninstall, guardrails and conventions.
ZipAI CLAUDE.md
Claude Code instructions for nickdesi/ZipAI, covering claude.md — zipai: ultra-dense token optimizer, rules, 1. zero filler, 2. ambiguity and 3. prompt caching.