periodic-review

periodic-review is a skill for Claude Code, Codex from grasscaograss/AwesomeWeldoneSkills. It costs 89 tokens per session (1,474 once invoked), scanned A, original, Apache-2.0.

A reporting workflow that creates monthly, quarterly, or yearly summaries from project records, Git history, knowledge files, and architecture decision records.

In plain words
What is it for?
Use it to review what changed during a chosen month or year, track how knowledge evolved by area, and summarize implementation and architecture decisions.
Why use it?
It gathers changes from several project sources into one review, so you do not have to inspect each source manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review what changed during a chosen month or year, track how knowledge evolved by area, and summarize implementation and architecture decisions.

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

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin periodic-review/plugin install periodic-review after adding the marketplace above.

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 periodic-review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/grasscaograss/awesomeweldoneskills/periodic-review"><img src="https://agentmods.dev/badge/skills/grasscaograss/awesomeweldoneskills/periodic-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,474 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 $0.00089 $0.01474
Opus 5 $0.00044 $0.00737
Sonnet 5 $0.00018 $0.00295
Haiku 4.5 $0.00009 $0.00147

Measured 11d ago against content hash 458adcfe967f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

periodic-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 11d 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.

periodic-review/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Periodic Review

Quick start

/periodic-review              → default: previous calendar month
/periodic-review 2026-05      → specific month
/periodic-review 2026         → full year (Jan–Dec)

Workflow

1. Determine time range

  • No argument: previous calendar month
  • YYYY-MM: that specific month
  • YYYY: January–December of that year

2. Collect materials (parallel)

Run these collections simultaneously:

Source Method Purpose
Records List files under archive/records/ with date within range 设计决策和实现记录
Git log git log --after=<start> --before=<end> --oneline --stat 变更统计
Knowledge List files under archive/knowledge/ modified in range, grouped by subdirectory 领域知识演进
ADRs Files under archive/adr/ or docs/adr/ created or modified in range 架构决策

3. Domain-grouped knowledge collection

Knowledge 目录按领域子文件夹组织。统计每个领域的变化情况:

archive/knowledge/
├── dual-arm/           双臂系统
├── weld-template/      焊接模板
├── weld-seam/          焊缝规划
├── coarse-positioning/ 粗定位
├── scanning/           精定位与扫描
├── capacity/           产能统计
├── weld-tracking/      焊接跟踪
├── coordinate/         坐标与矩阵
├── workflow/           状态机与工作流
├── frontend/           前端界面
├── device-robot/       设备与机器人
└── tools/              工具与其他

对每个领域子文件夹,收集以下信息:

  1. 当前文件数 — 列出目录下所有 .md 文件
  2. 期内的变化 — 通过 git log --diff-filter=ACDMR -- <path> 获取新增(A)、修改(M)、删除(D)、重命名(R)的文件
  3. 变化摘要 — 读取每个变更文件的 TL;DR 行(标题后的 blockquote)

4. Domain health assessment

对每个领域计算健康指标:

指标 阈值 状态
文件数 ≤ 5 基线
文件数 > 10 可能膨胀 ⚠️ Bloat
文件数 > 15 强烈建议拆分 🔴 Oversized
期内新增 > 3 快速增长 📈 Growth
期内无变化 稳定 Stable
单文件目录 疏离 ⚠️ Isolated

5. Deep analysis for active domains

对期内变化 ≥ 3 个文件的领域,spawn 一个子 agent 进行深度分析:

Prompt 模板:

分析 archive/knowledge/<domain>/ 目录下近期(<period>)的变化趋势。

读取该目录下所有文件的 TL;DR,结合 archive/records/ 中与该领域相关的记录。

回答:
1. 这个领域在做什么方向上的演进?
2. 是否有反复修改同一概念的情况?(暗示设计不稳定)
3. 是否有知识碎片化的迹象?(多个文件描述同一子主题)
4. 对该领域的下一步建议。

Read the full file on GitHub · 167 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. 11d ago First seen · 167 lines · 89 tokens per session scan A 458adcfe967f

Subscribe to this mod's changes

periodic-review is a skill published in the GitHub repository grasscaograss/AwesomeWeldoneSkills (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 89 tokens to every session and 1,474 once invoked, about $0.0004 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 2026-08-31.

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