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 z-Zihan/awesome-skills --skill context-budget-analyzergit clone --depth 1 https://github.com/z-Zihan/awesome-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/z-zihan/awesome-skills/context-budget-analyzer)<a href="https://agentmods.dev/skills/z-zihan/awesome-skills/context-budget-analyzer"><img src="https://agentmods.dev/badge/skills/z-zihan/awesome-skills/context-budget-analyzer/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/z-zihan/awesome-skills/context-budget-analyzer"><img src="https://agentmods.dev/badge/skills/z-zihan/awesome-skills/context-budget-analyzer.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 | $0.00335 | $0.05851 |
| Opus 5.5 | $0.00134 | $0.02340 |
| Sonnet 5.5 | $0.00067 | $0.01170 |
| Haiku 4.5 | $0.00034 | $0.00585 |
Grade A, and why
context-budget-analyzer 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 today.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today Changed · +5 lines · +12 tokens per session cef51267d15f
- 2d ago Changed · +4 lines · +66 tokens per session a5a861035765
- 4d ago Changed · +22 lines · +22 tokens per session 008a85afb62c
- 5d ago Changed · +50 lines · +19 tokens per session df0a10d5ecc3
- 7d ago First seen · 206 lines · 216 tokens per session scan A 924e28fa0377
context-budget-analyzer is a skill published in the GitHub repository z-Zihan/awesome-skills (4 stars, last pushed today), with no licence file. It adds 335 tokens to every session and 5,851 once invoked, about $0.0013 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 2026-10-21.
Other skills, from other repositories
context-degradation
Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash.
context-compression
Design and evaluate compression strategies for long-running sessions.
context-optimization
Apply compaction, masking, and caching strategies.
gossipcat
Use when installing or setting up gossipcat multi-agent orchestration (parallel review, consensus, adaptive dispatch) in Claude Code or Cursor. Installs the gossipcat MCP server and hands off to gossipstatus() for all live rules.
cortex-mem-mcp
Persistent memory enhancement for AI agents. Store conversations, search memories with semantic retrieval, and recall context across sessions. Use this skill when you need to remember user preferences, past conversations, project context, or any information that should persist beyond the current session. Provides…
swarmclaw
AI agent runtime and multi-agent orchestration platform. Teaches agents how to use SwarmClaw's 6 primitive tools, persistent memory, dreaming, delegation, connectors, credentials, and the skill system. Use when an agent is running on SwarmClaw and needs to understand the platform's capabilities.