Agent skill

Benchmark

by hoangsonww in hoangsonww/Claude-Code-Agent-Monitor

MITAuto-check passed

Install Benchmark

skills CLI

$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill benchmark -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install hoangsonww/Claude-Code-Agent-Monitor benchmark --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ 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-insights/skills/benchmark .claude/skills/benchmark && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "benchmark" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-insights/skills/benchmark into .claude/skills/benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark", 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

$skill-installer install https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-insights/skills/benchmark

Type 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.

skills CLI

$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill benchmark -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install hoangsonww/Claude-Code-Agent-Monitor benchmark --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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-insights/skills/benchmark .agents/skills/benchmark && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "benchmark" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-insights/skills/benchmark into .agents/skills/benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark", 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.

skills CLI

$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill benchmark -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install hoangsonww/Claude-Code-Agent-Monitor benchmark --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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-insights/skills/benchmark .cursor/skills/benchmark && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "benchmark" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-insights/skills/benchmark into .cursor/skills/benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark", 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

$ gemini skills install https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git --path plugins/ccam-insights/skills/benchmark

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill benchmark -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install hoangsonww/Claude-Code-Agent-Monitor benchmark --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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-insights/skills/benchmark .gemini/skills/benchmark && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "benchmark" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-insights/skills/benchmark into .gemini/skills/benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark", 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.

GitHub CLI

$ gh skill install hoangsonww/Claude-Code-Agent-Monitor benchmark

Installs 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).

skills CLI

$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill benchmark -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ 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-insights/skills/benchmark .github/skills/benchmark && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "benchmark" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-insights/skills/benchmark into .github/skills/benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark", 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.

skills CLI

$ npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill benchmark -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install hoangsonww/Claude-Code-Agent-Monitor benchmark --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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-insights/skills/benchmark .opencode/skills/benchmark && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "benchmark" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-insights/skills/benchmark into .opencode/skills/benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark", 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.

Facts

Skill name: benchmark
GitHub stars: 1.1k
Token cost: ~835 tokens
SKILL.md length: 361 words
Files: 2
Skills in repo: 78
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 4 steps: Build the Baseline → Measure the Target → Percentile and Deviation → …
Judging whether a session was typical
SKILL.md covers Input, Data Sources, Report Sections and Output
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Benchmark is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. Benchmark one session (or a small recent set) against the rolling average using Agent Monitor data — cost, total tokens, tool count, and workflow complexity score — and report where each metric lands as a percentile of the population. Tells you whether a session was normal, cheap, or an outlier. Use when judging whether a session was typical or out of band.

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

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.

When your agent uses it

Judging whether a session was typical

Example prompts

“/benchmark”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Build the Baseline
Measure the Target
Percentile and Deviation
Verdict

What it can do on your machine

Read from SKILL.md and the folder at commit 1a10d68. It shows what the files ask for, not the result of running them.

Tool permissions
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.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Benchmark loads about 835 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 361 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~92
When it runs · the whole SKILL.md, loaded when a task matches: ~835

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from hoangsonww/Claude-Code-Agent-Monitor at commit 1a10d68, republished under its MIT licence (© hoangsonww). 361 words, ~835 tokens.

Download SKILL.mdSave it as .claude/skills/benchmark/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: benchmark
description: Benchmark one session (or a small recent set) against the rolling average using Agent Monitor data — cost, total tokens, tool count, and workflow complexity score — and report where each metric lands as a percentile of the population. Tells you whether a session was normal, cheap, or an outlier. Use when judging whether a session was typical or out of band.

Benchmark

Score a session against the rolling population average and report its percentile on cost, tokens, tool count, and complexity using Agent Monitor data.

Input

The user provides: $ARGUMENTS

This may be:

A single session ID — benchmark that session
"latest" — benchmark the most recent session
"latest N" — benchmark the N most recent sessions, each vs the average
empty — benchmark the most recent session (default)

Data Sources

Endpoint	Returns
`GET /api/sessions?limit=N`	Population of sessions with `cost`, `model`, `started_at`, `metadata` (turn_count, total_turn_duration_ms) — builds the rolling baseline
`GET /api/pricing/cost/{sessionId}`	`{ total_cost, breakdown:[{ input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost }] }` — the target session's cost and tokens
`GET /api/workflows/{sessionId}`	`complexity` (score), `stats` (tool/event counts), `toolFlow` (distinct tools used) — the target session's tool count and complexity
`GET /api/analytics`	`avg_events_per_session`, `tool_usage`, `daily_sessions` — corroborates population-level averages

Report Sections

1. Build the Baseline

Fetch the population with GET /api/sessions?limit=200 (the rolling set). For each session gather cost (GET /api/pricing/cost/{id} or the list cost field), total tokens (sum of the 4 token types from the pricing breakdown), tool count and complexity (GET /api/workflows/{id}). Compute mean, median, and standard deviation for each metric across the population.

2. Measure the Target

For the requested session, pull the same four metrics:

Cost — total_cost from GET /api/pricing/cost/{id}.
Total tokens — input + output + cache_read + cache_write summed from the breakdown.
Tool count — distinct/total tools from GET /api/workflows/{id} stats/toolFlow.
Complexity score — complexity.score from GET /api/workflows/{id}.

Show full SKILL.md (137 more words)Show less

3. Percentile and Deviation

For each metric report the target's percentile within the population (share of sessions at or below it) and its z-score (value − mean) / stddev. Label each: below average / typical / above average / outlier (|z| > 2).

4. Verdict

State whether the session was normal overall. If it is an outlier, name which metric drove it (e.g., complexity p96, cost p91 → an unusually heavy session).

Output

A Markdown table: metric | session value | population mean | percentile | z-score | label.
Currency in USD to 4 decimals; tokens and tool counts as integers; complexity to 2 decimals.
Use ▲ for above-average and ▼ for below-average vs the mean.
One-line verdict: "Normal session" or "Outlier — driven by <metric> (pNN)".
When benchmarking multiple sessions, one row block per session plus a summary line.
Read-only: percentiles come only from the fetched population; never fabricate the baseline.

Files

SKILL.md and 1 other file in plugins/ccam-insights/skills/benchmark of hoangsonww/Claude-Code-Agent-Monitor.

SKILL.md
agents/openai.yaml

Open the folder on GitHubat commit 1a10d68

Compare with similar skills

Benchmark 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.

Benchmark compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Benchmark this skillhoangsonww/Claude-Code-Agent-Monitor	1.1k	—	~835	Automated safety check: Pass	MIT	today
Benchmarkaffaan-m/ECC	276k	3 repos	~654	Automated safety check: Pass	MIT	4 days ago
Benchmarkaffaan-m/ECC	276k	—	~412	Automated safety check: Pass	MIT	4 days ago
Benchmarkaffaan-m/ECC	276k	—	~330	Automated safety check: Pass	MIT	4 days ago
Benchmarkandroidx/androidx	6.1k	—	~1.1k	Automated safety check: Pass	Apache-2.0	today
Benchmarksamchon/typia	5.9k	—	~1.2k	Automated safety check: Pass	MIT	2 days ago

Similar skills

Benchmark
affaan-m/ECC
Measure performance baselines and detect regressions across browser Core Web Vitals (LCP, INP, CLS, page weight), API endpoint latency percentiles, and build/test feedback times, with before/after…
276k GitHub starsUsed in 3 repos~654 tokens
Frontend & DesignAuto-check passed
Benchmark
affaan-m/ECC
このスキルを使用して、パフォーマンスベースラインを測定し、PR前後の回帰を検出し、スタック代替案を比較します. An agent skill from affaan-m/ECC.
276k GitHub stars~412 tokensUpdated 4 days ago
Auto-check passed
Benchmark
affaan-m/ECC
使用此技能测量性能基线，检测PR前后的回归，并比较堆栈替代方案。
276k GitHub stars~330 tokensUpdated 4 days ago
Auto-check passed
Benchmark
androidx/androidx
Benchmarking and improving the performance of Jetpack Compose.
6.1k GitHub stars~1.1k tokensUpdated today
MobileAuto-check passed
Benchmark
samchon/typia
Defines typia benchmark fixture integrity, result reporting, and publication safeguards.
5.9k GitHub stars~1.2k tokensUpdated 2 days ago
AI & LLM EngineeringAuto-check passed
Gstack Performance Benchmark
garrytan/gstack
Establishes page load, Core Web Vitals and resource-size baselines, then compares before and after on every pull request to track performance trends over time.
136k GitHub stars~7.3k tokensUpdated today
Frontend & DesignAuto-check: notes

More from hoangsonww/Claude-Code-Agent-Monitor

All 78 skills in this repo

Version Release
hoangsonww/Claude-Code-Agent-Monitor
Choose and apply the correct semantic version bump for this repository.
1.1k GitHub stars~1.6k tokensUpdated today
Auto-check passed
Budget Set
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.
1.1k GitHub stars~1k tokensUpdated today
Auto-check passed
Cache Efficiency
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…
1.1k GitHub stars~966 tokensUpdated today
Auto-check passed
Cost Breakdown
hoangsonww/Claude-Code-Agent-Monitor
Break down Claude Code costs using the Agent Monitor pricing engine.
1.1k GitHub stars~845 tokensUpdated today
Auto-check passed
Dag Map
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.
1.1k GitHub stars~564 tokensUpdated today
Auto-check passed
Dashboard Status
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…
1.1k GitHub stars~600 tokensUpdated today
Auto-check passed

Questions about Benchmark

What does Benchmark do?

Benchmark one session (or a small recent set) against the rolling average using Agent Monitor data — cost, total tokens, tool count, and workflow complexity score — and report where each metric…. Benchmark is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. Benchmark one session (or a small recent set) against the rolling average using Agent Monitor data — cost, total tokens, tool count, and workflow complexity score — and report where each metric lands as a percentile of the population.

When should I use Benchmark?

Benchmark fits situations like: judging whether a session was typical.

How do I install Benchmark in Claude Code?

Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill benchmark -a claude-code`. Or copy the skill folder (plugins/ccam-insights/skills/benchmark in hoangsonww/Claude-Code-Agent-Monitor) into .claude/skills/benchmark in your project. Claude Code loads it when a task matches its description.

How do I install Benchmark in Codex?

Run `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill benchmark -a codex`. Or copy the skill folder (plugins/ccam-insights/skills/benchmark in hoangsonww/Claude-Code-Agent-Monitor) into .agents/skills/benchmark in your project. Codex loads it when a task matches its description.

Can I use Benchmark in Cursor, Gemini CLI or GitHub Copilot?

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 benchmark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/benchmark, .gemini/skills/benchmark, .github/skills/benchmark and .opencode/skills/benchmark in your project.

What does Benchmark need to run?

SKILL.md names no scripts, command-line tools or credentials: Benchmark is instructions for the agent only.

Does Benchmark access the network?

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.

Is Benchmark safe to install?

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.

What licence does Benchmark use?

Benchmark is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Benchmark use?

About 835 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Benchmark?

Skills that share tags, products or a category with Benchmark: Benchmark (affaan-m/ECC, 276k stars), Benchmark (affaan-m/ECC, 276k stars), Benchmark (affaan-m/ECC, 276k stars) and Benchmark (androidx/androidx, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Benchmark?

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.

Install Benchmark

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Benchmark

Input

Data Sources

Report Sections

1. Build the Baseline

2. Measure the Target

3. Percentile and Deviation

4. Verdict

Output

Files

Compare with similar skills

Similar skills

More from hoangsonww/Claude-Code-Agent-Monitor

Questions about Benchmark