weekly-report

A workflow for producing weekly management reports about the Azure Developer CLI, a tool for building and deploying applications. It combines GitHub changes, releases, changelogs, and team notes into a fixed-format Markdown report.

In plain words
What is it for?
Use it to collect merged pull requests, closed issues, releases, and team notes, then organize them into metrics, risks, changes, plans, learnings, and demo links.
Why use it?
It removes the need to manually gather weekly project activity and turn it into an update for leadership.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/azure/azure-dev/weekly-report
Any agent
npx skills add Azure/azure-dev --skill weekly-report
Clone the repo
git clone --depth 1 https://github.com/Azure/azure-dev

Made for: Claude Code, Codex.

Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 772 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00122 $0.00772
Opus 5 $0.00061 $0.00386
Sonnet 5 $0.00024 $0.00154
Haiku 4.5 $0.00012 $0.00077

Measured 3d ago against content hash 43eb7738ab79, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

weekly-report 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 3d 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.

.github/skills/weekly-report/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Weekly Executive Report Generator

Generates weekly executive reports for the Azure Developer CLI (azd) team leadership.

Prerequisites

Tool Purpose
gh GitHub CLI — authenticated with repo access
jq JSON filtering for release queries
git Repository data

Report Format (strict order)

📝 TLDR
📊 Metrics
⚠️ Risks + Blockers
🎯 Changelog
📋 This Week
🔜 Next Week
🚩 Learnings
🔥 Demos/Links

Execution Flow

Step 1: Confirm date range

Cadence is Thursday to Thursday. Confirm with the user if unclear.

Step 2: Pull repo data

Replace START and END below with the dates from Step 1.

cd <repo-root>  # the azure-dev repository root
git checkout main && git pull --rebase

PRs merged:

gh pr list --repo Azure/azure-dev --state merged --search "merged:START..END" --limit 200 --json number,title,mergedAt

Issues closed:

gh issue list --repo Azure/azure-dev --state closed --search "closed:START..END" --limit 200 --json number,title,closedAt

Releases:

gh api repos/Azure/azure-dev/releases --paginate | jq '[.[] | select(.published_at >= "START" and .published_at <= "END") | {name, tag_name, published_at}]'

Step 3: Read changelogs

Changelog data is maintained by the changelog-generation skill.

  • Core: cli/azd/CHANGELOG.md
  • Agents: cli/azd/extensions/azure.ai.agents/CHANGELOG.md
  • Finetuning: cli/azd/extensions/azure.ai.models/CHANGELOG.md

Step 4: Wait for team notes

Do NOT assemble the report until the user provides team notes from emails, Teams, meetings, etc. Only product and engineering content.

Step 5: Assemble report

Combine repo data with team notes. Follow all rules below.

Step 6: Iterate

Expect 5–15 rounds of edits. Apply changes surgically. After removals, check for related content elsewhere (risks → next week → learnings → TLDR) and offer to clean up.

Output

Save reports to the Copilot CLI session workspace (~/.copilot/session-state/<session-id>/files/) as weekly-report-{month}{startday}-{endday}.md.

Read the full file on GitHub · 110 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 110 lines · 122 tokens per session scan A 43eb7738ab79

Subscribe to this mod's changes

weekly-report is a skill published in the GitHub repository Azure/azure-dev (567 stars, last pushed 3d ago), licensed MIT. It adds 122 tokens to every session and 772 once invoked, about $0.0006 per session on Opus 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 2026-08-30.

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