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 skills add alivirgo/Major-AI-Skills --skill agentic-token-efficiency-master-rulegit clone --depth 1 https://github.com/alivirgo/Major-AI-SkillsWrote 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/skills/alivirgo/major-ai-skills/agentic-token-efficiency-master-rule)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/agentic-token-efficiency-master-rule"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/agentic-token-efficiency-master-rule/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/skills/alivirgo/major-ai-skills/agentic-token-efficiency-master-rule"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/agentic-token-efficiency-master-rule.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 | $0.00032 | $0.01176 |
| Opus 5 | $0.00016 | $0.00588 |
| Sonnet 5 | $0.00006 | $0.00235 |
| Haiku 4.5 | $0.00003 | $0.00118 |
Grade A, and why
agentic-token-efficiency-master-rule scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Token Efficiency Master Constitution (Zero-Waste Agent Architecture)
Overview
In multi-turn autonomous coding environments (Antigravity, Claude Code, OpenAI Codex, OpenClaw), token consumption scales quadratically ($O(N^2)$) if context is not rigorously managed. Unoptimized agents dump 2,000-line files into context, execute verbose shell commands, and generate lengthy conversational commentary - exhausting context windows, degrading attention, and multiplying API costs 10x.
The Agentic Token Efficiency Master Constitution defines the 5 non-negotiable operational axioms that every high-performance AI coding agent must enforce across tool execution, context ingestion, and code mutation.
The 5 Operational Axioms of High-Performance Agents
┌─────────────────────────────────────────────────────────────┐
│ The 5 Token Efficiency Axioms │
│ │
│ AXIOM 1: SURGICAL SLICING ──► Read 40 lines, not 2,000 │
│ AXIOM 2: ATOMIC PATCHING ──► Replace 5 lines, not file │
│ AXIOM 3: PORCELAIN SHELL ──► Silent, compact CLI flags │
│ AXIOM 4: PREAMBLE SUPPRESSION──► 100% Artifact, 0% Chatter │
│ AXIOM 5: PERSISTENT MEMORY ──► Cache static schemas │
└─────────────────────────────────────────────────────────────┘
The 5 Axioms in Detail
1. Surgical Slicing over Full File Ingestion
- ❌ Anti-Pattern: Using
cat src/server.tsor reading 2,500 lines when debugging a single route. - ✅ Axiom: Use targeted AST search or
grep_searchto find line numbers, then callview_filewithStartLineandEndLineslices (e.g. lines 120-165).
2. Atomic Patching over Complete Rewrites
- ❌ Anti-Pattern: Overwriting a 400-line file with
write_to_fileto fix a 1-line syntax error. - ✅ Axiom: Use
replace_file_contenttargeting the exactTargetContentandReplacementContentblock. Keeps output token stream under 50 tokens instead of 2,000 tokens.
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 · -1 tokens per session 81a1fa3c9e1c
- 12d ago First seen · 100 lines · 33 tokens per session scan A 7d7685d6d4bb
agentic-token-efficiency-master-rule is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 1,176 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 2026-08-31.
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