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 hoangsonww/Claude-Code-Agent-Monitor --skill model-mixgit clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-MonitorWrote 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/hoangsonww/claude-code-agent-monitor/model-mix)<a href="https://agentmods.dev/skills/hoangsonww/claude-code-agent-monitor/model-mix"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/model-mix/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/hoangsonww/claude-code-agent-monitor/model-mix"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/model-mix.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00110 | $0.01008 |
| Opus 5 | $0.00055 | $0.00504 |
| Sonnet 5 | $0.00022 | $0.00202 |
| Haiku 4.5 | $0.00011 | $0.00101 |
Grade A, and why
model-mix 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 12d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Model Mix
See where your tokens and dollars go by model family, and where to re-route work.
Input
The user provides: $ARGUMENTS
This may be: empty (analyze the whole fleet), "today" / "this week" / a date range, or a focus like "where is Opus overused?". When empty, analyze all data from /api/pricing/cost and /api/sessions.
Data Sources
| Endpoint | Returns |
|---|---|
GET /api/pricing/cost |
{ total_cost, breakdown: [{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] } — per-model token and cost split |
GET /api/pricing |
{ pricing: [{ model_pattern, display_name, input_per_mtok, output_per_mtok, cache_read_per_mtok, cache_write_per_mtok }] } — rates per family |
GET /api/analytics |
tokens totals (total_input, total_output, total_cache_read, total_cache_write — baselines pre-summed), agent_types for delegation context |
GET /api/sessions?limit=200 |
Session list — model, cwd, started_at, ended_at, inline cost, metadata (JSON: thinking_blocks, turn_count, total_turn_duration_ms, usage_extras) |
How families and rates work
Map each model in the cost breakdown to a family from its matched_rule / display_name:
| Family | Input $/Mtok | Output $/Mtok | Cache Read $/Mtok | Cache Write $/Mtok |
|---|---|---|---|---|
| Opus 4.5/4.6 | $5 | $25 | $0.50 | $6.25 |
| Sonnet 4/4.5/4.6 | $3 | $15 | $0.30 | $3.75 |
| Haiku 4.5 | $1 | $5 | $0.10 | $1.25 |
cost = (tokens / 1M) × rate_per_mtok summed over the 4 token types; longest model_pattern wins. Opus output costs ~5× Sonnet and ~5× Haiku per token, so a family's cost share routinely exceeds its token share — that gap is the routing signal.
Report Sections
1. Token Share by Family
Aggregate input + output + cache_read + cache_write tokens per family from /api/pricing/cost. Show each family's tokens and percent of total. Cross-check the grand total against /api/analytics token totals.
What ships with it
1 file 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.
- 12d ago First seen · 66 lines · 110 tokens per session scan A 4aef1ee50876
model-mix is a skill published in the GitHub repository hoangsonww/Claude-Code-Agent-Monitor (991 stars, last pushed 3d ago), licensed MIT. It adds 110 tokens to every session and 1,008 once invoked, about $0.0006 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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