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.
npx skills add parisgroup-ai/imersao-ia-setup --skill weekly-metricsgit clone --depth 1 https://github.com/parisgroup-ai/imersao-ia-setupWrote 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.
[](https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/weekly-metrics)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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
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.
- 20d ago First seen · 330 lines · 109 tokens per session scan A 13923602bbc2
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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