Shogun Bloom Config
yohey-w/multi-agent-shogun
Interactive wizard: guided questions with multiple-choice options about subscriptions, then outputs a ready-to-paste capabilitytiers YAML + fixed agent model assignments.
Break down Claude Code usage by model family (Opus / Sonnet / Haiku) from the Agent Monitor dashboard — each family's share of tokens, share of cost, and the spots where an expensive model is doing…
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor model-mix --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ccam-analytics/skills/model-mix .claude/skills/model-mix && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "model-mix" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-analytics/skills/model-mix into .claude/skills/model-mix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-mix", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-analytics/skills/model-mixType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor model-mix --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ccam-analytics/skills/model-mix .agents/skills/model-mix && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "model-mix" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-analytics/skills/model-mix into .agents/skills/model-mix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-mix", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor model-mix --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ccam-analytics/skills/model-mix .cursor/skills/model-mix && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "model-mix" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-analytics/skills/model-mix into .cursor/skills/model-mix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-mix", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git --path plugins/ccam-analytics/skills/model-mix--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor model-mix --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ccam-analytics/skills/model-mix .gemini/skills/model-mix && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "model-mix" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-analytics/skills/model-mix into .gemini/skills/model-mix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-mix", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor model-mixInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ccam-analytics/skills/model-mix .github/skills/model-mix && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "model-mix" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-analytics/skills/model-mix into .github/skills/model-mix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-mix", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hoangsonww/Claude-Code-Agent-Monitor model-mix --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ccam-analytics/skills/model-mix .opencode/skills/model-mix && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "model-mix" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-analytics/skills/model-mix into .opencode/skills/model-mix/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-mix", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
model-mixBreak down Claude Code usage by model family (Opus / Sonnet / Haiku) from the Agent Monitor dashboard — each family's share of tokens, share of cost, and the spots where an expensive model is doing…
Model Mix is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. Break down Claude Code usage by model family (Opus / Sonnet / Haiku) from the Agent Monitor dashboard — each family's share of tokens, share of cost, and the spots where an expensive model is doing cheap work. Pulls per-model token and cost splits from /api/pricing/cost, current rates from /api/pricing, fleet token totals from /api/analytics, and per-session model assignment from /api/sessions. Use when deciding model routing or whether to downshift work to a cheaper tier.
Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in AI & LLM Engineering, covering Model routing and gateways. The repository describes itself as: 🚀 A real-time monitoring dashboard for Claude Code & Codex, built with SQLite3, Node.js, Express, React, Vite, TailwindCSS, & WebSockets. It tracks sessions, agent activity… The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1a10d68. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Model Mix loads about 974 tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 420 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from hoangsonww/Claude-Code-Agent-Monitor at commit 1a10d68, republished under its MIT licence (© hoangsonww). 420 words, ~974 tokens.
.claude/skills/model-mix/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.See where your tokens and dollars go by model family, and where to re-route work.
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.
| 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) |
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.
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.
Sum cost per family. Show each family's dollar total and percent of total_cost. Place the cost-share % next to the token-share % so the premium gap is visible.
For each family compute cost_share − token_share. A large positive gap on Opus/Sonnet signals premium spend concentration. Rank families by gap.
From /api/sessions?limit=200, find Opus/Sonnet sessions with signals of low complexity: low turn_count, short total_turn_duration_ms, few thinking_blocks, or small token footprints. List candidates that could plausibly run on a cheaper tier, with current cost and estimated cost if downshifted.
Structured Markdown with tables. Currency as USD to 4 decimal places; rates as $/Mtok; token shares and cost shares as percentages; use ▲/▼ for the cost-vs-token gap and any trend. Token counts with thousands separators.
© hoangsonww, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in plugins/ccam-analytics/skills/model-mix of hoangsonww/Claude-Code-Agent-Monitor.
Open the folder on GitHubat commit 1a10d68
Model Mix next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Model Mix this skillhoangsonww/Claude-Code-Agent-Monitor | 1.1k | — | ~974 | Automated safety check: Pass | MIT | |
| Shogun Bloom Configyohey-w/multi-agent-shogun | 1.4k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Codemie Analyticscodemie-ai/codemie-code | 294 | — | ~7.5k | Automated safety check: Pass | Apache-2.0 | |
| Model Routernidhi-singh02/agent-router | 111 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Freetoken Botslimin112/min-skill | 412 | — | ~1.3k | Automated safety check: Pass | None | |
| Codex Model Routing Teamzjp1997720/codex-model-routing-team | 158 | — | ~736 | Automated safety check: Pass | MIT |
yohey-w/multi-agent-shogun
Interactive wizard: guided questions with multiple-choice options about subscriptions, then outputs a ready-to-paste capabilitytiers YAML + fixed agent model assignments.
codemie-ai/codemie-code
CodeMie Analytics expert — use this skill whenever the user asks about CodeMie usage data, AI adoption metrics, user leaderboards, CLI insights, spending, LiteLLM costs, token usage, or wants to…
nidhi-singh02/agent-router
A skill your agent uses when the user asks to pick a model, subscription, or reasoning effort, or to run router status, usage refresh, or resume a router session.
limin112/min-skill
Discover, verify, and maintain zero-priced OpenRouter models for Pi child-agent workflows used by Muse, Grokbot, or Dot.
zjp1997720/codex-model-routing-team
在 Codex App 中为复杂、可并行的知识工作或编程任务自动创建多个可指定模型与推理强度的后台任务,由主 Agent 负责规划、分工、集成和验收。用于多来源调研、多章节内容、复杂 Skill/PPT、跨模块开发、独立验证或 2 个以上互不依赖工作流;也用于用户明确要求模型路由、后台 Worker、Agents Team…
get-convex/convex-evals
Add a new model to the convex-evals coding leaderboard, and optionally the decision benchmark, through a PR, then dispatch its baseline runs.
hoangsonww/Claude-Code-Agent-Monitor
Choose and apply the correct semantic version bump for this repository.
hoangsonww/Claude-Code-Agent-Monitor
Define a spend budget for Claude Code and, optionally, create a cost alert rule that fires when usage crosses the limit, via POST /api/alerts/rules on the Agent Monitor dashboard.
hoangsonww/Claude-Code-Agent-Monitor
Analyze prompt-cache effectiveness for Claude Code usage from the Agent Monitor dashboard — cache hit rate (totalcacheread / (totalcacheread + totalinput)), cachewrite vs cacheread reuse, cache-read…
hoangsonww/Claude-Code-Agent-Monitor
Break down Claude Code costs using the Agent Monitor pricing engine.
hoangsonww/Claude-Code-Agent-Monitor
Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API.
hoangsonww/Claude-Code-Agent-Monitor
Quick dashboard health and status overview — checks the Agent Monitor API (port 4820), reports session/agent/event counts from /api/stats, confirms WebSocket connectivity, reads the redacted hook…
Categories
Break down Claude Code usage by model family (Opus / Sonnet / Haiku) from the Agent Monitor dashboard — each family's share of tokens, share of cost, and the spots where an expensive model is doing…. Model Mix is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. Break down Claude Code usage by model family (Opus / Sonnet / Haiku) from the Agent Monitor dashboard — each family's share of tokens, share of cost, and the spots where an expensive model is doing cheap work.
Model Mix fits situations like: deciding model routing; whether to downshift work to a cheaper tier.
Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -a claude-code`. Or copy the skill folder (plugins/ccam-analytics/skills/model-mix in hoangsonww/Claude-Code-Agent-Monitor) into .claude/skills/model-mix in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -a codex`. Or copy the skill folder (plugins/ccam-analytics/skills/model-mix in hoangsonww/Claude-Code-Agent-Monitor) into .agents/skills/model-mix in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-mix, .gemini/skills/model-mix, .github/skills/model-mix and .opencode/skills/model-mix in your project.
SKILL.md names no scripts, command-line tools or credentials: Model Mix is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Model Mix is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 974 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Model Mix: Shogun Bloom Config (yohey-w/multi-agent-shogun, 1.4k stars), Codemie Analytics (codemie-ai/codemie-code, 294 stars), Model Router (nidhi-singh02/agent-router, 111 stars) and Freetoken Bots (limin112/min-skill, 412 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hoangsonww (a GitHub user) maintains it in hoangsonww/Claude-Code-Agent-Monitor, which has 1,054 GitHub stars. The repository holds 78 skills in this directory. The repository was last updated on October 8, 2026.
Source: hoangsonww/Claude-Code-Agent-Monitor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.