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 vdittgen/arandu --skill weekly-reviewgit clone --depth 1 https://github.com/vdittgen/aranduWrote 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/vdittgen/arandu/weekly-review)<a href="https://agentmods.dev/skills/vdittgen/arandu/weekly-review"><img src="https://agentmods.dev/badge/skills/vdittgen/arandu/weekly-review/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/vdittgen/arandu/weekly-review"><img src="https://agentmods.dev/badge/skills/vdittgen/arandu/weekly-review.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 | $0.00022 | $0.00321 |
| Opus 5.5 | $0.00009 | $0.00128 |
| Sonnet 5.5 | $0.00004 | $0.00064 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
Weekly Review 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 1mo 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.
What it actually says
When to Use
When the user asks for a weekly summary, digest, review, or recap of recent activity. Also applies to phrases like "what happened this week", "catch me up", or "weekly report".
Procedure
- Query messages from the past 7 days, grouped by contact — focus on conversations with the most back-and-forth
- Query calendar events from the past 7 days — note completed meetings and any that were missed
- Query completed tasks and newly created tasks
- Identify action items mentioned in messages (look for phrases like "can you", "please", "need to", "don't forget")
- Load the review template from
templates/review.mdusingload_skill_resource - Fill in the template sections with the gathered data
Output Format
Follow the structure in templates/review.md. Each section should have 3-5 bullet points max.
Pitfalls
- Do not include message content verbatim — always summarize
- Calendar events with no title should appear as "Untitled event at {time}"
- If fewer than 3 messages exist, note that it was a quiet week rather than padding
- Keep each section to 3-5 bullet points maximum
What ships with it
1 file 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.
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.
- 1mo ago First seen · 35 lines · 22 tokens per session scan A ed0755ae7cf6
Weekly Review is a skill published in the GitHub repository vdittgen/arandu (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 321 once invoked, about $0.0001 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 2026-08-31.
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