context-budget

context-budget is a skill for Claude Code, Codex from DVNghiem/FlowDeck. It costs 22 tokens per session (2,251 once invoked), scanned A, original, MIT.

A guide for managing the amount of text an AI coding agent loads into its context window, the limited space it uses to read instructions, files, and conversation history.

In plain words
What is it for?
It helps measure context use, reduce unnecessary material, batch checks, and choose an appropriately sized model for a task.
Why use it?
Too much context can increase cost and delay, cause earlier information to be lost, and make the agent pay less attention to important details.

Skill for Claude CodeCodex

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/dvnghiem/flowdeck/context-budget
Any agent
npx skills add DVNghiem/FlowDeck --skill context-budget
Clone the repo
git clone --depth 1 https://github.com/DVNghiem/FlowDeck

Made for: Claude Code, Codex.

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 context-budget

README.md
[![agentmods](https://agentmods.dev/badge/skills/dvnghiem/flowdeck/context-budget.svg)](https://agentmods.dev/skills/dvnghiem/flowdeck/context-budget)
Your own site
<a href="https://agentmods.dev/skills/dvnghiem/flowdeck/context-budget"><img src="https://agentmods.dev/badge/skills/dvnghiem/flowdeck/context-budget.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,251 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00022 $0.02251
Opus 5 $0.00011 $0.01125
Sonnet 5 $0.00004 $0.00450
Haiku 4.5 $0.00002 $0.00225

Measured 5d ago against content hash c03d54dfd95e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

context-budget 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 5d 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.

src/skills/context-budget/SKILL.md · 267 lines

How it starts

The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context Budget Skill

Treat context window as a finite resource. Every token loaded — files, rules, tool outputs, conversation history — consumes budget. Optimizing context improves speed, cuts costs, and prevents mid-session truncation.

When to Activate

Activate when:

  • A session exceeds 50K tokens or feels sluggish
  • You are about to load large files, MCP tools, or heavy rulesets
  • You want to audit and slim down your FlowDeck setup
  • You are designing new skills, agents, or workflows

Core Principles

  • Load less, get more — context quality beats context quantity
  • Measure before optimizing — know your current burn rate
  • Batch over chat — accumulate work, run checks once
  • Right-size the model — light tasks do not need the strongest model

Why Context Budget Matters

Factor Impact
Context window limit Hard cap — exceed it and early conversation is lost
Cost per token More context = more input tokens = higher bill
Response latency Large context increases time-to-first-token
Attention degradation Models perform worse on content near the middle of long context

Hard Limits (Examples)

Model Context Window
Claude 3.5 Haiku 200K tokens
Claude 3.5 Sonnet 200K tokens
GPT-4o 128K tokens
GPT-4o mini 128K tokens

Treat 80% of the window as your practical maximum. Beyond that, truncation risk rises sharply.

Skill Size Audit

Oversized skills waste context on every activation. Audit yours regularly.

Thresholds

Metric Warning Critical
Lines per SKILL.md > 300 > 400
Words in description > 25 > 30
Files loaded per task > 5 > 10
Rules active at once > 8 > 12

How to Audit

# Count lines in all skills
find src/skills -name "SKILL.md" -exec wc -l {} + | sort -n

# Flag skills over 300 lines
find src/skills -name "SKILL.md" -exec sh -c 'lines=$(wc -l < "$1"); [ "$lines" -gt 300 ] && echo "$lines $1"' _ {} \;

# Check description word counts
grep -r "^description:" src/skills/ | awk '{print NF, $0}' | sort -n

Read the full file on GitHub · 267 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. 5d ago First seen · 267 lines · 22 tokens per session scan A c03d54dfd95e

Subscribe to this mod's changes

context-budget is a skill published in the GitHub repository DVNghiem/FlowDeck (24 stars, last pushed 16d ago), licensed MIT. It adds 22 tokens to every session and 2,251 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.

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