weekly-metrics

weekly-metrics is a skill for Claude Code from parisgroup-ai/imersao-ia-setup. It costs 109 tokens per session (2,658 once invoked), scanned A, original, MIT.

A weekly report that measures solo, AI-assisted development activity from Git commits, task records, and collaboration patterns over the previous seven days. Git is the version-control system used to record code changes.

In plain words
What is it for?
Use it for weekly productivity reports, sprint retrospectives, task-throughput reviews, and analysis of recent commits and collaboration activity.
Why use it?
It turns recent development history into a regular view of progress and working habits. The report can highlight workflow patterns and suggest changes to improve them.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the imersao plugin — 74 skills, 7 commands shipped together

Good fit Use it for weekly productivity reports, sprint retrospectives, task-throughput reviews, and analysis of recent commits and collaboration activity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/parisgroup-ai/imersao-ia-setup/weekly-metrics
Install

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.

Any agent
npx skills add parisgroup-ai/imersao-ia-setup --skill weekly-metrics
Clone the repo
git clone --depth 1 https://github.com/parisgroup-ai/imersao-ia-setup

Made for: Claude Code.

Or install imersao, the plugin that ships this one along with the rest of its 74 skills, 7 commands.

Wrote 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.

agentmods badge for weekly-metrics

README.md
[![agentmods](https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/weekly-metrics/github.svg)](https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/weekly-metrics)
Your own site
<a href="https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/weekly-metrics"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/weekly-metrics/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.

agentmods 80×15 button for weekly-metrics

Your own site · 80×15
<a href="https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/weekly-metrics"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/weekly-metrics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,658 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00109 $0.02658
Opus 5.5 $0.00044 $0.01063
Sonnet 5.5 $0.00022 $0.00532
Haiku 4.5 $0.00011 $0.00266

Measured 20d ago against content hash 13923602bbc2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

weekly-metrics 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 20d 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.

plugins/imersao/skills/weekly-metrics/SKILL.md · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Weekly Productivity Metrics

Generate a comprehensive weekly report analyzing development activity, task throughput, and AI collaboration patterns — with actionable workflow optimization proposals.

Data Collection

Run all git commands and task CLI commands from the project root. Collect data in parallel where possible (git stats + task stats are independent).

1. Git Commit Analytics

# Total commits (last 7 days)
git log --oneline --since="7 days ago" | wc -l

# Commits with full metadata (hash, author, date, subject)
git log --format="%H|%an|%ai|%s" --since="7 days ago"

# Lines changed (insertions/deletions)
git diff --stat $(git log --since="7 days ago" --reverse --format="%H" | head -1)^..HEAD 2>/dev/null || git diff --stat --shortstat HEAD~50..HEAD

# Per-commit stats (files, insertions, deletions)
git log --since="7 days ago" --format="%H|%s" --numstat

# Files touched (unique)
git log --since="7 days ago" --name-only --format="" | sort -u | wc -l

# Commits by hour (for peak hours analysis)
git log --since="7 days ago" --format="%ai" | cut -d' ' -f2 | cut -d: -f1 | sort | uniq -c | sort -rn

# Commits by day of week
git log --since="7 days ago" --format="%ad" --date=format:"%A" | sort | uniq -c | sort -rn

# Commits by conventional-commit type
git log --since="7 days ago" --format="%s" | grep -oE "^[a-z]+\(" | tr -d '(' | sort | uniq -c | sort -rn

# Commits by scope
git log --since="7 days ago" --format="%s" | grep -oE "\([^)]+\)" | tr -d '()' | sort | uniq -c | sort -rn

# AI co-authored commits (Claude collaboration indicator)
git log --since="7 days ago" --format="%H %s%n%b" | grep -c "Co-Authored-By.*Claude\|Co-Authored-By.*claude\|Co-authored-by.*Claude"

2. TaskNotes Analytics

# Sprint summary
pnpm task:sprint 2>/dev/null

# Full sprint task list (JSON for parsing)
pnpm task:list --sprint -f json 2>/dev/null

# All tasks (including non-sprint)
pnpm task:list -f json -a 2>/dev/null

# Time tracking for the week
pnpm task:time --week 2>/dev/null

Read the full file on GitHub · 330 lines

Changes

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.

  1. 20d ago First seen · 330 lines · 109 tokens per session scan A 13923602bbc2

Subscribe to this mod's changes

weekly-metrics is a skill published in the GitHub repository parisgroup-ai/imersao-ia-setup (1 stars, last pushed 18d ago), licensed MIT. It adds 109 tokens to every session and 2,658 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-06.

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