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 cveralyon/axel-setup --skill context-budgetgit clone --depth 1 https://github.com/cveralyon/axel-setupWrote 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/cveralyon/axel-setup/context-budget)<a href="https://agentmods.dev/skills/cveralyon/axel-setup/context-budget"><img src="https://agentmods.dev/badge/skills/cveralyon/axel-setup/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/cveralyon/axel-setup/context-budget"><img src="https://agentmods.dev/badge/skills/cveralyon/axel-setup/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 | $0.00055 | $0.01120 |
| Opus 5.5 | $0.00022 | $0.00448 |
| Sonnet 5.5 | $0.00011 | $0.00224 |
| Haiku 4.5 | $0.00006 | $0.00112 |
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.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Budget
Estimate the token overhead of everything loaded into a Claude Code session and surface concrete ways to reclaim context space. Adapted from ECC's context-budget for a single-runtime (Claude Code) setup on a large Opus window.
When to Use
- The setup has grown (many agents, hooks, skills, MCP servers) and you want the real load cost.
- Output quality degrades, or the context monitor fires earlier than expected.
- Before adding more agents, skills, or MCP servers: check headroom first.
- Running the
/context-budgetcommand (this skill backs it).
How It Works
Token estimation: prose uses words × 1.3, code or JSON uses chars / 4.
Phase 1 — Inventory
Scan each source and estimate tokens.
- Agents (
~/.claude/agents/*.md): tokens per file. Flag files over 200 lines (heavy) and adescriptionover 30 words (it loads into every Task tool invocation, even for agents never spawned). - Skills (
~/.claude/skills/*/SKILL.md): tokens per SKILL.md. Flag over 400 lines. - Commands (
~/.claude/commands/*.md): tokens per file. Flag stale or duplicated entries. - Hooks (
~/.claude/hooks/plus the wiring insettings.json): count active hooks. Flag heavy or overlapping ones. - MCP servers (active MCP config): count servers and total tools. Estimate ~500 tokens per tool schema. Flag servers over 20 tools, and servers that wrap a CLI already available for free (gh, git, vercel, supabase).
- CLAUDE.md and memory chain (
~/CLAUDE.md,~/.claude/memory/MEMORY.md, any project CLAUDE.md): tokens per file. Flag a combined total over 400 lines, or a MEMORY index that carries detail instead of one-line pointers.
Note on RTK: it compresses Bash OUTPUT at runtime. It does not reduce the LOAD cost of this setup. Measure the load cost (the files above), not RTK-filtered command output.
Phase 2 — Classify
| Bucket | Criteria | Action |
|---|---|---|
| Always needed | Referenced in CLAUDE.md, backs an active command, or matches current work | Keep |
| Sometimes needed | Domain-specific, not referenced in CLAUDE.md | On-demand or lazy-load |
| Rarely needed | No reference, overlapping content, no project match | Remove or archive |
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 · 87 lines · 55 tokens per session scan A 991fee71e40a
context-budget is a skill published in the GitHub repository cveralyon/axel-setup (4 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 1,120 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
context-engineering
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knowledge-ingest
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mem0-oss-to-platform
Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…
forget
Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…
Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.