journal-entry-prep

journal-entry-prep is a skill for Claude Code, Codex from fergupa/claude_plugins. It costs 50 tokens per session (1,605 once invoked), scanned A, a copy of journal-entry-prep, Apache-2.0.

A guide for preparing manual accounting entries—the records that update a company’s accounts—with correct debits, credits, and supporting evidence.

In plain words
What is it for?
Use it to prepare accruals, prepaid expense amortization, fixed-asset depreciation, payroll entries, revenue recognition, and other manual entries.
Why use it?
It reduces guesswork during month-end close, when accountants must record costs, assets, payroll, and revenue for the correct period and support each entry for review.

Skill for Claude CodeCodex

Part of the finance-productivity plugin — 6 skills, 5 commands shipped together

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/fergupa/claude_plugins/journal-entry-prep
Any agent
npx skills add fergupa/claude_plugins --skill journal-entry-prep
Clone the repo
git clone --depth 1 https://github.com/fergupa/claude_plugins

Made for: Claude Code, Codex.

Or install finance-productivity, the plugin that ships this one along with the rest of its 6 skills, 5 commands.

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 journal-entry-prep

README.md
[![agentmods](https://agentmods.dev/badge/skills/fergupa/claude_plugins/journal-entry-prep.svg)](https://agentmods.dev/skills/fergupa/claude_plugins/journal-entry-prep)
Your own site
<a href="https://agentmods.dev/skills/fergupa/claude_plugins/journal-entry-prep"><img src="https://agentmods.dev/badge/skills/fergupa/claude_plugins/journal-entry-prep.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,605 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 98% copy Near-identical to another mod 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 $0.00050 $0.01605
Opus 5 $0.00025 $0.00803
Sonnet 5 $0.00010 $0.00321
Haiku 4.5 $0.00005 $0.00161

Measured 4d ago against content hash 40fd4cf722cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

journal-entry-prep 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 4d 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.

Origin

This is a copy

98% identical to journal-entry-prep — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

finance/skills/journal-entry-prep/SKILL.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Journal Entry Preparation

Important: This skill assists with journal entry workflows but does not provide financial advice. All entries should be reviewed by qualified financial professionals before posting.

Best practices, standard entry types, documentation requirements, and review workflows for journal entry preparation.

Standard Accrual Types and Their Entries

Accounts Payable Accruals

Accrue for goods or services received but not yet invoiced at period end.

Typical entry:

  • Debit: Expense account (or capitalize if asset-qualifying)
  • Credit: Accrued liabilities

Sources for calculation:

  • Open purchase orders with confirmed receipts
  • Contracts with services rendered but unbilled
  • Recurring vendor arrangements (utilities, subscriptions, professional services)
  • Employee expense reports submitted but not yet processed

Key considerations:

  • Reverse in the following period (auto-reversal recommended)
  • Use consistent estimation methodology period over period
  • Document basis for estimates (PO amount, contract terms, historical run-rate)
  • Track actual vs accrual to refine future estimates

Fixed Asset Depreciation

Book periodic depreciation expense for tangible and intangible assets.

Typical entry:

  • Debit: Depreciation/amortization expense (by department or cost center)
  • Credit: Accumulated depreciation/amortization

Depreciation methods:

  • Straight-line: (Cost - Salvage) / Useful life — most common for financial reporting
  • Declining balance: Accelerated method applying fixed rate to net book value
  • Units of production: Based on actual usage or output vs total expected

Key considerations:

  • Run depreciation from the fixed asset register or schedule
  • Verify new additions are set up with correct useful life and method
  • Check for disposals or impairments requiring write-off
  • Ensure consistency between book and tax depreciation tracking

Prepaid Expense Amortization

Amortize prepaid expenses over their benefit period.

Read the full file on GitHub · 186 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. 4d ago First seen · 186 lines · 50 tokens per session scan A 40fd4cf722cb

Subscribe to this mod's changes

journal-entry-prep is a skill published in the GitHub repository fergupa/claude_plugins (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 1,605 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to journal-entry-prep, differing in 1 line, and is treated as a copy.

Related

Other skills, from other repositories

convex-add

Add a capability to the CURRENT Convex app — consults the served Convex capability catalog for always-current procedures (billing, crons, auth, agent, search, …); falls back to built-in hosting or @convex-dev component search. TRIGGER when the user runs /add, or asks to add hosting/publishing or any backend capability…

openclaw/clawhub · 81 tokens

twitter-reader

Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…

himself65/finance-skills · 161 tokens

chenhao-limit-up

Use when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive momentum trading.

questflowai/investorskills · 44 tokens

trading-risk-gate

Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.

winstonkoh87/Athena-Public · 53 tokens

cwv-optimizer

Diagnose and fix Core Web Vitals issues on AEM Edge Delivery Services pages. Goes deeper than generic CWV advice by understanding EDS-specific performance patterns including the 100KB LCP budget, E-L-D loading phases, block rendering behavior, and third-party script impact. Produces specific fixes for LCP, CLS, and…

adobe/skills · 112 tokens

multi-expert-analyzer

针对通用问题进行多领域专家联合分析, 综合稿产生前必经 fact-checker 与 red-team 两道独立校验。适用场景: 用户提出跨领域或不确定领域的复杂问题, 需要从多个专家角度分别搜证并相互校验后综合成文, 例如该不该买房、该不该跳槽、是否进入某个赛道等。触发关键词: 多角度分析、专家分析、综合分析、多视角、跨领域分析、从不同角度看、深度分析。问题只属于单一明确领域时, 优先使用该领域的专门 skill, 例如纯财务用 finance-core-analysis、纯技术用 software-architect。输出 (全部 markdown 保存到当前项目 markdown/ 目录): (1) 每位专家的中间分析稿…

digoal/blog · 292 tokens