Agent skill

Productivity Score

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

MITAuto-check passed

Install Productivity Score

skills CLI

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

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

GitHub CLI

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

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 productivity-score -a codex

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

GitHub CLI

$ gh skill install hoangsonww/Claude-Code-Agent-Monitor productivity-score --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-analytics/skills/productivity-score .agents/skills/productivity-score && 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 "productivity-score" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-analytics/skills/productivity-score into .agents/skills/productivity-score/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "productivity-score", 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 productivity-score -a cursor

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

GitHub CLI

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

--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 productivity-score -a gemini-cli

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

GitHub CLI

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

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 productivity-score -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-analytics/skills/productivity-score .github/skills/productivity-score && 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 "productivity-score" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-analytics/skills/productivity-score into .github/skills/productivity-score/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "productivity-score", 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 productivity-score -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 productivity-score --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-analytics/skills/productivity-score .opencode/skills/productivity-score && 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 "productivity-score" agent skill from https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-analytics/skills/productivity-score into .opencode/skills/productivity-score/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "productivity-score", 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: productivity-score
GitHub stars: 1.1k
Token cost: ~906 tokens
SKILL.md length: 306 words
Files: 2
Skills in repo: 78
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 5 steps: Completion Rate (20% weight) → Token Efficiency (20% weight) → Tool Effectiveness (20% weight) → …
SKILL.md covers Input, Data Sources, Score Components (each 0–100) and Overall Score, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Productivity Score is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. Calculate a productivity score using actual Agent Monitor metrics — session completion rates, cache efficiency (cacheread vs input), compaction pressure (baseline tokens), turn velocity (turncount / totalturndurationms), tool success ratio (PreToolUse vs PostToolUse), and the workflow intelligence API's complexity and effectiveness scores.

Its SKILL.md is about 910 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.

Example prompts

“/productivity-score”

Workflow steps

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

Completion Rate (20% weight)
Token Efficiency (20% weight)
Tool Effectiveness (20% weight)
Velocity (20% weight)
Cost Efficiency (20% weight)

What it can do on your machine

Read from SKILL.md and the folder at commit a06db03. 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

Productivity Score loads about 906 tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 306 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~91
When it runs · the whole SKILL.md, loaded when a task matches: ~906

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 a06db03, republished under its MIT licence (© hoangsonww). 306 words, ~906 tokens.

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

name: productivity-score
description: Calculate a productivity score using actual Agent Monitor metrics — session completion rates, cache efficiency (cache_read vs input), compaction pressure (baseline tokens), turn velocity (turn_count / total_turn_duration_ms), tool success ratio (PreToolUse vs PostToolUse), and the workflow intelligence API's complexity and effectiveness scores.

Productivity Score

Calculate a productivity scorecard from the Agent Monitor's real data.

Input

The user provides: $ARGUMENTS

Options: "today", "this week", "last 30 days", a session ID, or "compare" for period comparison.

Data Sources

Endpoint	Returns
`GET /api/analytics`	Token totals (`total_input`, `total_output`, `total_cache_read`, `total_cache_write` — baselines pre-summed), tool_usage top 20, daily_events/sessions, event_types, sessions_by_status, agents_by_status, avg_events_per_session, total_subagents
`GET /api/sessions?limit=100`	Sessions with metadata JSON: `thinking_blocks`, `turn_count`, `total_turn_duration_ms`, `usage_extras` (service_tier, speed, inference_geo)
`GET /api/pricing/cost`	Total cost with per-model breakdown
`GET /api/workflows/{sessionId}`	11 workflow datasets: stats, orchestration, toolFlow, effectiveness, patterns, modelDelegation, errorPropagation, concurrency, complexity, compaction, cooccurrence

Score Components (each 0–100)

1. Completion Rate (20% weight)

From sessions_by_status:

completed / (completed + error + abandoned) × 100
Bonus for high completed-to-active ratio
Penalty for abandoned sessions (wasted work)

2. Token Efficiency (20% weight)

From analytics tokens (baselines are pre-summed into totals):

Cache hit rate: total_cache_read / (total_cache_read + total_input) × 100
- Above 60% = excellent, below 30% = poor
Output concentration: total_output / total_input — 0.3–0.8 is balanced

3. Tool Effectiveness (20% weight)

From event_types:

Success ratio: Count PostToolUse / Count PreToolUse — should be ~1.0; gap = tool failures
API error rate: Count APIError / total events — should be near 0
From workflow effectiveness data: subagent completion rates, task success per type

4. Velocity (20% weight)

From session metadata:

Turns per session: average turn_count across sessions
Turn speed: average total_turn_duration_ms / turn_count — lower = faster
Events per session: from avg_events_per_session in analytics overview
Thinking depth: average thinking_blocks — more thinking = more thorough (neutral metric)

5. Cost Efficiency (20% weight)

From pricing:

Cost per completed session: total_cost / completed_sessions
Cost trend: comparing current period to previous (decreasing = improving)
Model optimization: sessions using expensive models (Opus) for tasks subagents handle with Haiku/Sonnet

Overall Score

Weighted sum → letter grade:

A+ (95-100), A (90-94), B+ (85-89), B (80-84), C+ (75-79), C (70-74), D (60-69), F (<60)

Output Format

═══════════════════════════════════════
  PRODUCTIVITY SCORE: 87/100 (B+)
═══════════════════════════════════════
  Completion Rate   ████████░░  80/100
  Token Efficiency  █████████░  92/100
  Tool Effectiveness████████░░  85/100
  Velocity          █████████░  88/100
  Cost Efficiency   █████████░  90/100
═══════════════════════════════════════

Then: top 3 strengths, top 3 improvement areas with actionable steps, and period comparison if available.

Files

SKILL.md and 1 other file in plugins/ccam-analytics/skills/productivity-score of hoangsonww/Claude-Code-Agent-Monitor.

SKILL.md
agents/openai.yaml

Open the folder on GitHubat commit a06db03

Compare with similar skills

Productivity Score 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.

Productivity Score compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Productivity Score this skillhoangsonww/Claude-Code-Agent-Monitor	1.1k	—	~906	Automated safety check: Pass	MIT	yesterday
Metric Calculatorjeremylongshore/tons-of-skills-marketplace	2.8k	—	~563	Automated safety check: Pass	MIT	yesterday
Gke AI Troubleshooting Tpu Metrics Monitoringgoogle/skills	21k	—	~1.9k	Automated safety check: Pass	Apache-2.0	yesterday
Cloud Monitoring Metric Selectiongoogle/skills	21k	—	~2.4k	Automated safety check: Pass	Apache-2.0	yesterday
Metric Calculatorforyourhealth111-pixel/Vibe-Skills	3.6k	—	~346	Automated safety check: Notes	MIT	1 mo ago
Apdex Score Calculatorjeremylongshore/tons-of-skills-marketplace	2.8k	—	~578	Automated safety check: Pass	MIT	yesterday

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Cache Efficiency
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Questions about Productivity Score

What does Productivity Score do?

Calculate a productivity score using actual Agent Monitor metrics — session completion rates, cache efficiency (cacheread vs input), compaction pressure (baseline tokens), turn velocity (turncount /…. Productivity Score is an agent skill from hoangsonww/Claude-Code-Agent-Monitor. Calculate a productivity score using actual Agent Monitor metrics — session completion rates, cache efficiency (cacheread vs input), compaction pressure (baseline tokens), turn velocity (turncount / totalturndurationms), tool success ratio (PreToolUse vs PostToolUse), and the workflow intelligence API's complexity and effectiveness scores.

How do I install Productivity Score in Claude Code?

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

How do I install Productivity Score in Codex?

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

Can I use Productivity Score 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 productivity-score -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/productivity-score, .gemini/skills/productivity-score, .github/skills/productivity-score and .opencode/skills/productivity-score in your project.

What does Productivity Score need to run?

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

Does Productivity Score 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 Productivity Score 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 Productivity Score use?

Productivity Score 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 Productivity Score use?

About 906 tokens (SKILL.md is roughly 3.6k 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 Productivity Score?

Skills that share tags, products or a category with Productivity Score: Metric Calculator (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Gke AI Troubleshooting Tpu Metrics Monitoring (google/skills, 21k stars), Cloud Monitoring Metric Selection (google/skills, 21k stars) and Metric Calculator (foryourhealth111-pixel/Vibe-Skills, 3.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Productivity Score?

hoangsonww (a GitHub user) maintains it in hoangsonww/Claude-Code-Agent-Monitor, which has 1,058 GitHub stars. The repository holds 78 skills in this directory. The repository was last updated on October 10, 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 Productivity Score

Facts

At a glance

What it does

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Productivity Score

Input

Data Sources

Score Components (each 0–100)

1. Completion Rate (20% weight)

2. Token Efficiency (20% weight)

3. Tool Effectiveness (20% weight)

4. Velocity (20% weight)

5. Cost Efficiency (20% weight)

Overall Score

Output Format

Files

Compare with similar skills

Similar skills

More from hoangsonww/Claude-Code-Agent-Monitor

Questions about Productivity Score