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Cwd Rollup

CommunityPopular
hoangsonww
cwd-rollup

Roll up Claude Code sessions by working directory (project) from Agent Monitor data — session count, total cost, total tokens, and last-active timestamp per cwd — so per-project activity can be compared at a glance. Use when summarizing where effort and spend went across projects.

Overview

Publisherhoangsonww
RepositoryClaude-Code-Agent-Monitor
Skill namecwd-rollup
Stars
1.1K
Forks
260
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by hoangsonww on GitHub. Read the source before you install it.

Installation

Install the Cwd Rollup AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-sessions/skills/cwd-rollup
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git /tmp/Claude-Code-Agent-Monitor
mkdir -p .claude/skills
cp -r /tmp/Claude-Code-Agent-Monitor/plugins/ccam-sessions/skills/cwd-rollup .claude/skills/cwd-rollup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cwd Rollup in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cwd Rollup on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cwd Rollup is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CWD Rollup

Aggregate session activity per working directory (project).

Input

The user provides: $ARGUMENTS

  • Empty → roll up all working directories.
  • A path / project substring → restrict the rollup to matching cwds.
  • top N → keep only the N highest-cost (or highest-count) projects.

Data Sources

EndpointReturns
GET /api/run/cwdsthe distinct working directories that have sessions — the rollup key set
GET /api/sessions?limit=Nsession list: id, status, model, cwd, started_at, ended_at, cost, metadata (usage_extras with token counts)
GET /api/pricing/costfleet cost: total_cost, breakdown[{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] — for the fleet total to compute each cwd's share

Report Sections

1. Key set

GET /api/run/cwds for the canonical list of working directories. Apply the $ARGUMENTS filter (substring match) if one was given.

2. Pull sessions

GET /api/sessions?limit=1000. Bucket sessions by cwd.

3. Aggregate per cwd

For each working directory compute:

  • sessions — count.
  • cost — sum of the inline cost field across the bucket.
  • tokens — sum of input / output / cache-read / cache-write from each session's metadata usage_extras (sum the four into a total, and keep input + output as the "billable text" subtotal).
  • last active — the max started_at (or ended_at) in the bucket.
  • models — the distinct models seen.

4. Share of fleet

GET /api/pricing/cost for total_cost; show each cwd's cost as a percentage of the fleet total.

5. Ranking

Sort by cost descending by default (or count if the user asked); apply top N.

Output

Markdown table: project (cwd basename) | sessions | total tokens | cost | % of fleet | last active | models. Currency as USD to 4 decimal places; token counts with thousands separators; sort cost-descending. Add a final TOTAL row summing the columns. Only count tokens that the session metadata actually carries — if usage_extras is absent for a session, note it as excluded rather than guessing. If the dashboard is unreachable, tell the user to start it with npm start from the repo root.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cwd Rollup AI skill do?

Roll up Claude Code sessions by working directory (project) from Agent Monitor data — session count, total cost, total tokens, and last-active timestamp per cwd — so per-project activity can be compared at a glance. Use when summarizing where effort and spend went across projects.

Why use Cwd Rollup on TypingMind?

Because you install it once and use it with any model. Cwd Rollup is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cwd Rollup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-sessions/skills/cwd-rollup. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cwd Rollup?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cwd Rollup?

As many as you like. As long as a model supports skills, you can use Cwd Rollup with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cwd Rollup AI skill free?

Yes. It is published on GitHub by hoangsonww under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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