weekly-reverse-review

weekly-reverse-review is a skill for Codex from twhsi/skills. It costs 110 tokens per session (1,101 once invoked), scanned A, original, no licence file.

A weekly planning method that turns information from tasks, diaries, calendars, and long-term plans into one weekly plan focused on happiness and peace.

In plain words
What is it for?
It helps review inboxes, daily plans, diaries, calendars, annual plans, and long-range life plans, including an approach called the 8 Big Rocks.
Why use it?
It reduces the work of sorting scattered personal and work information into a manageable week.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It helps review inboxes, daily plans, diaries, calendars, annual plans, and long-range life plans, including an approach called the 8 Big Rocks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/twhsi/skills/weekly-reverse-review
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 twhsi/skills --skill weekly-reverse-review
Clone the repo
git clone --depth 1 https://github.com/twhsi/skills

Made for: Codex.

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-reverse-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/twhsi/skills/weekly-reverse-review/github.svg)](https://agentmods.dev/skills/twhsi/skills/weekly-reverse-review)
Your own site
<a href="https://agentmods.dev/skills/twhsi/skills/weekly-reverse-review"><img src="https://agentmods.dev/badge/skills/twhsi/skills/weekly-reverse-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.

agentmods 80×15 button for weekly-reverse-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/twhsi/skills/weekly-reverse-review"><img src="https://agentmods.dev/badge/skills/twhsi/skills/weekly-reverse-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,101 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 unknown 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 $0.00110 $0.01101
Opus 5 $0.00055 $0.00550
Sonnet 5 $0.00022 $0.00220
Haiku 4.5 $0.00011 $0.00110

Measured 10d ago against content hash 9369d5114090, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

weekly-reverse-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 10d 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.

skills/weekly-reverse-review/SKILL.md · 134 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

4 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. 10d ago First seen · 134 lines · 110 tokens per session scan A 9369d5114090

Subscribe to this mod's changes

weekly-reverse-review is a skill published in the GitHub repository twhsi/skills (259 stars, last pushed 1mo ago), with no licence file. It adds 110 tokens to every session and 1,101 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.

Related

Other skills, from other repositories

validate

Check that an Open Knowledge Format (OKF) bundle is conformant with the v0.2 spec (§11). Use when asked to validate, lint, or check an OKF bundle, or before committing changes to one. Runs a deterministic Python checker — not an eyeball pass. Also migrates a v0.1 bundle to v0.2 in place with --migrate.

scaccogatto/okf-skills · 82 tokens

memex-sync

Sync Zettelkasten cards across devices via git.

iamtouchskyer/memex · 15 tokens

council

Multi-persona debate for founder decisions. 4 personas argue a topic across structured rounds.

assafkip/kipi-system · 22 tokens

research-workflow-orchestrator

Run a resumable end-to-end research workflow that automates low-risk work, pauses at explicit human decision gates, records provenance, and routes each stage to the appropriate research-hub skill or MCP tool.

WenyuChiou/research-hub · 48 tokens

literature-triage-matrix

Turn a list of papers (Zotero collection, Obsidian cluster, manual list) into a compact comparison matrix written to .research/literaturematrix.md, instead of generic per-paper summaries. Use when the user asks to "make a literature matrix", "compare these papers by method/data/limitations", or "decide which papers…

WenyuChiou/research-hub · 162 tokens

raytsystem-watch

Inspect video, audio, or supplied transcripts through raytsystem Tool Hub and return evidence-bound speech, visual, OCR, action, transition, and timeline findings. Use for /watch, a YouTube/Loom/public Zoom/direct media URL, a local video or audio file, a transcript, or requests such as "watch this video", "analyze…

romarayt/raytsystem-public-os · 114 tokens