token-efficiency

token-efficiency is a skill for Claude Code from brunob54/superpowers-orchestrator. It costs 39 tokens per session (2,025 once invoked), scanned A, original, MIT.

A session-wide set of rules for keeping an AI coding assistant's work concise, organized, and efficient. It is applied automatically at the start of each session.

In plain words
What is it for?
It guides response style, tool-call batching, file-reading scope, clarification questions, structured output, and context management.
Why use it?
It reduces repeated explanations, unnecessary file reads, and slow, one-at-a-time tool calls. It also helps keep important context from being lost during long sessions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions subagents; names the TodoWrite tool.

Part of the superpowers-orchestrator plugin — 28 skills, 2 agents, 6 hooks shipped together

Install

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.

agentmods
npx agentmods add skills/brunob54/superpowers-orchestrator/token-efficiency
Any agent
npx skills add brunob54/superpowers-orchestrator --skill token-efficiency
Clone the repo
git clone --depth 1 https://github.com/brunob54/superpowers-orchestrator

Made for: Claude Code.

Or install superpowers-orchestrator, the plugin that ships this one along with the rest of its 28 skills, 2 agents, 6 hooks.

Wrote 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.

agentmods badge for token-efficiency

README.md
[![agentmods](https://agentmods.dev/badge/skills/brunob54/superpowers-orchestrator/token-efficiency.svg)](https://agentmods.dev/skills/brunob54/superpowers-orchestrator/token-efficiency)
Your own site
<a href="https://agentmods.dev/skills/brunob54/superpowers-orchestrator/token-efficiency"><img src="https://agentmods.dev/badge/skills/brunob54/superpowers-orchestrator/token-efficiency.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,025 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.02025
Opus 5 $0.00019 $0.01012
Sonnet 5 $0.00008 $0.00405
Haiku 4.5 $0.00004 $0.00202

Measured 6d ago against content hash 8e9a44901524, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

token-efficiency scanned grade A with 1 finding 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 6d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

2. **WebFetch returns AI-generated summaries, not raw text.** For verbatim content from URLs (e.g., GitHub raw files, config files, source code), use `curl -sf <url>` via Bash instead.
skills/token-efficiency/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Token Efficiency

Core operating standard for all sessions. Apply permanently from activation.

Response Rules

  1. Lead with the answer — no preambles, no restating the question
  2. Use bullet points and code over prose narration
  3. Never explain what you are about to do — just do it
  4. Omit filler phrases ("Certainly!", "Great question!", "Now let me...", "As you can see...")
  5. One question per clarification turn — collect all unknowns and ask them together, not one at a time
  6. Prefer structured output (JSON/YAML) when the result feeds a downstream step

Tool Execution Rules

  1. Batch all independent tool calls in a single response — never serialize calls that can run in parallel
  2. Do not re-read a file already read this session unless it was modified since
  3. Match read scope to task type: use Grep to locate specific known content (a function, a config value, an error handler); read complete files when the task requires understanding what a file covers (scope assessment, gap analysis, systemic recommendations). Partial reads cannot prove absence.
  4. Use Glob instead of Bash ls or find
  5. Do not verify existence of a path already confirmed earlier in the session
  6. The Read tool returns a maximum of 2,000 lines per call. For files you have reason to believe exceed 2,000 lines, use offset and limit parameters to read in sequential chunks. Never assume a single read covered the complete file.

Agent & External Content Rules

  1. Agent results are compressed. When a subagent returns to the parent session, its full context (all file reads, web fetches, reasoning) is reduced to a summary. Never dispatch agents to "fetch and return" raw content — the content lives in the agent's context and only a compressed summary survives the return. This applies to local file reads AND web-fetched content.
  2. WebFetch returns AI-generated summaries, not raw text. For verbatim content from URLs (e.g., GitHub raw files, config files, source code), use curl -sf <url> via Bash instead.
  3. Use agents for conclusions, not data relay. Good: "Analyze the test failures in X and recommend fixes." Bad: "Fetch files A, B, C and return their contents." If you need raw content in your context, fetch it yourself with direct tool calls.
  4. For local files: Read directly. Do not dispatch an agent to read project files and report back. You lose the actual content and waste tokens on the round trip. Use the Read tool.
  5. project-map.md is orientation, not understanding. The map tells you what exists and where — directory purposes, key file roles, constraints. It does NOT contain the logic inside each file. When you need to understand a file's actual implementation (for modification, comparison, or debugging), read it directly. The map saves you from re-discovering project structure; it does not replace reading the files you need to work with.

Read the full file on GitHub · 146 lines

Changes

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.

  1. 6d ago First seen · 146 lines · 39 tokens per session scan A 8e9a44901524

Subscribe to this mod's changes

token-efficiency is a skill published in the GitHub repository brunob54/superpowers-orchestrator (3 stars, last pushed 4d ago), licensed MIT. It adds 39 tokens to every session and 2,025 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.