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 Jamkris/everything-gemini-code --skill context-budgetgit clone --depth 1 https://github.com/Jamkris/everything-gemini-codeWrote 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/jamkris/everything-gemini-code/context-budget)<a href="https://agentmods.dev/skills/jamkris/everything-gemini-code/context-budget"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/context-budget/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/jamkris/everything-gemini-code/context-budget"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/context-budget.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 | $0.00037 | $0.01305 |
| Opus 5.5 | $0.00015 | $0.00522 |
| Sonnet 5.5 | $0.00007 | $0.00261 |
| Haiku 4.5 | $0.00004 | $0.00130 |
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 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.
This is a copy
91% identical to context-budget — 55 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Budget
Analyze token overhead across every loaded component in a Gemini CLI session and surface actionable optimizations to reclaim context space.
When to Use
- Session performance feels sluggish or output quality is degrading
- You've recently added many skills, agents, or MCP servers
- You want to know how much context headroom you actually have
- Planning to add more components and need to know if there's room
- Running
/egc-context-budgetcommand (this skill backs it)
How It Works
Phase 1: Inventory
Scan all component directories and estimate token consumption:
Agents (agents/*.md)
- Count lines and tokens per file (words × 1.3)
- Extract
descriptionfrontmatter length - Flag: files >200 lines (heavy), description >30 words (bloated frontmatter)
Skills (skills/*/SKILL.md)
- Count tokens per SKILL.md
- Flag: files >400 lines
- Check for duplicate copies in
.agents/skills/— skip identical copies to avoid double-counting
Rules (rules/**/*.md)
- Count tokens per file
- Flag: files >100 lines
- Detect content overlap between rule files in the same language module
MCP Servers (.mcp.json or active MCP config)
- Count configured servers and total tool count
- Estimate schema overhead at ~500 tokens per tool
- Flag: servers with >20 tools, servers that wrap simple CLI commands (
gh,git,npm,supabase,vercel)
GEMINI.md (project + user-level)
- Count tokens per file in the GEMINI.md chain
- Flag: combined total >300 lines
Phase 2: Classify
Sort every component into a bucket:
| Bucket | Criteria | Action |
|---|---|---|
| Always needed | Referenced in GEMINI.md, backs an active command, or matches current project type | Keep |
| Sometimes needed | Domain-specific (e.g. language patterns), not referenced in GEMINI.md | Consider on-demand activation |
| Rarely needed | No command reference, overlapping content, or no obvious project match | Remove or lazy-load |
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 · 136 lines · 37 tokens per session scan A b2f90746939e
context-budget is a skill published in the GitHub repository Jamkris/everything-gemini-code (91 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 1,305 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to context-budget, differing in 55 lines, and is treated as a copy.
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