workflow-review

workflow-review is a skill for Claude Code, Codex from sergeionlyart/codex-office-playbook. It costs 34 tokens per session (194 once invoked), scanned A, original, MIT.

A review process for simplifying a project’s collection of skills, scripts, responsibilities, and workflows. It examines how work is organised and records what should be merged, split, archived, or made more reliable.

In plain words
What is it for?
Use it to inventory a repository, update its indexes, find duplicated or oversized automation, document missing handoffs, and produce a short improvement report.
Why use it?
It helps when a project has become difficult to maintain because processes are duplicated, undocumented, or assigned unclear ownership.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/file_inventory.py --root . --output docs/REPO-INVENTORY.md --format md --max-depth 4.

Good fit Use it to inventory a repository, update its indexes, find duplicated or oversized automation, document missing handoffs, and produce a short improvement report.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/sergeionlyart/codex-office-playbook
agentmods
npx agentmods add skills/sergeionlyart/codex-office-playbook/workflow-review

Made for: Claude Code, 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 workflow-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/sergeionlyart/codex-office-playbook/workflow-review/github.svg)](https://agentmods.dev/skills/sergeionlyart/codex-office-playbook/workflow-review)
Your own site
<a href="https://agentmods.dev/skills/sergeionlyart/codex-office-playbook/workflow-review"><img src="https://agentmods.dev/badge/skills/sergeionlyart/codex-office-playbook/workflow-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 workflow-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/sergeionlyart/codex-office-playbook/workflow-review"><img src="https://agentmods.dev/badge/skills/sergeionlyart/codex-office-playbook/workflow-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 194 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 $0.00034 $0.00194
Opus 5 $0.00017 $0.00097
Sonnet 5 $0.00007 $0.00039
Haiku 4.5 $0.00003 $0.00019

Measured 12d ago against content hash 40b77f4088b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

workflow-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 12d 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.

.agents/skills/workflow-review/SKILL.md · 37 lines

What it actually says

Workflow Review

Purpose

Refactor the office operating system itself.

Workflow

  1. Inventory the project:
python scripts/file_inventory.py --root . --output docs/REPO-INVENTORY.md --format md --max-depth 4
python scripts/update_project_indexes.py
  1. Review:
    • duplicated skills;
    • overgrown scripts;
    • undocumented workflows;
    • missing handoff notes;
    • missing ownership;
    • areas where probabilistic work should become deterministic.
  2. Produce a compact review note with:
    • what to merge;
    • what to split;
    • what to archive;
    • what to harden.

Good result

A smaller, sharper, more teachable project.

Files

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.

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. 12d ago First seen · 37 lines · 34 tokens per session scan A 40b77f4088b5

Subscribe to this mod's changes

workflow-review is a skill published in the GitHub repository sergeionlyart/codex-office-playbook (2 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 194 once invoked, about $0.0002 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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