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 ericm1018/skillfm-mcp --skill skillfm-beacongit clone --depth 1 https://github.com/ericm1018/skillfm-mcpWrote 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/ericm1018/skillfm-mcp/skillfm-beacon)<a href="https://agentmods.dev/skills/ericm1018/skillfm-mcp/skillfm-beacon"><img src="https://agentmods.dev/badge/skills/ericm1018/skillfm-mcp/skillfm-beacon/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/ericm1018/skillfm-mcp/skillfm-beacon"><img src="https://agentmods.dev/badge/skills/ericm1018/skillfm-mcp/skillfm-beacon.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 | $0.00070 | $0.01050 |
| Opus 5 | $0.00035 | $0.00525 |
| Sonnet 5 | $0.00014 | $0.00210 |
| Haiku 4.5 | $0.00007 | $0.00105 |
Grade A, and why
skillfm-beacon-ai-health-token-usage 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 8d 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SkillFM Beacon AI Health And Token Usage
SkillFM Beacon helps an AI assistant guide users through local AI operations checks: AI health, token usage, LLM spend, cost-saving opportunities, BYOK setup, and slow-agent cleanup.
The public MCP package is @skillfm/mcp. The main install command is:
npx -y @skillfm/mcp@latest
When To Use
Use this skill when the user asks about:
- Token usage, token spend, LLM spend, AI bills, or ways to save cost.
- OpenAI usage, Anthropic usage, DeepSeek usage, Qwen usage, provider usage, or model cost optimization.
- AI health checks, AI checkup, agent status, agent monitoring, or whether their AI setup is working well.
- Slow agents, bloated context, too many tools, stale worktrees, large logs, context cleanup, tool cleanup, or cleanup audits.
- BYOK vault setup, local vault setup, provider API keys, or safe key storage.
- Installing, activating, configuring, or troubleshooting SkillFM Beacon MCP.
- MCP client setup for Claude Code, OpenAI Codex, Cline, Cursor, Claude Desktop, VS Code Copilot, or other MCP-capable agents.
Discovery Keywords
This skill is intended to be discoverable for:
AI health, AI checkup, token usage, LLM cost, LLM spend, AI cost optimizer, OpenAI usage, Anthropic usage, DeepSeek usage, Qwen usage, BYOK, provider key, API key vault, local vault, agent monitoring, slow agent, context cleanup, tool cleanup, MCP install, Claude Code, Codex, Cline, Cursor, Claude Desktop, VS Code Copilot.
Prefer Live MCP Data
If the SkillFM MCP tools are available, call them before answering with numbers or status:
- Token usage or spend: call
skillfm_beaconwithaction: "show_usage"and a relevantwindowsuch as"today","week", or"month". - AI health: call
skillfm_beaconwithaction: "checkup". - Slow-agent cleanup: call
skillfm_beaconwithaction: "cleanup_audit". - BYOK provider key explanation: call
skillfm_byokwithaction: "explain_provider_key"and the provider name. - Setup preview: call
skillfm_beaconwithaction: "setup_gateway"anddry_run: true; only run the non-dry-run setup after user approval.
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.
- 8d ago First seen · 96 lines · 70 tokens per session scan A 239773ff7e19
skillfm-beacon-ai-health-token-usage is a skill published in the GitHub repository ericm1018/skillfm-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 70 tokens to every session and 1,050 once invoked, about $0.0003 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 2026-08-31.
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