journal-entry-prep

journal-entry-prep is a skill for Claude Code from nota-america/forgecat-agent-profiles. It costs 50 tokens per session (1,617 once invoked), scanned A, a copy of journal-entry-prep, Apache-2.0.

A reference workflow for preparing month-end journal entries with balanced debits and credits and supporting documentation. It covers common entries such as accruals, prepaid expenses, depreciation, payroll, and revenue adjustments.

In plain words
What is it for?
Use it to prepare and document accruals, prepaid amortization, fixed-asset depreciation, payroll entries, revenue recognition, and other period-end adjustments.
Why use it?
It provides a repeatable way to document manual accounting entries and explain the estimates behind them. This helps reviewers check the entries before they are posted.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it to prepare and document accruals, prepaid amortization, fixed-asset depreciation, payroll entries, revenue recognition, and other period-end adjustments.

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Install with agentmods
npx agentmods add skills/nota-america/forgecat-agent-profiles/journal-entry-prep
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 nota-america/forgecat-agent-profiles --skill journal-entry-prep
Clone the repo
git clone --depth 1 https://github.com/nota-america/forgecat-agent-profiles

Made for: Claude Code.

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/nota-america/forgecat-agent-profiles/journal-entry-prep/github.svg)](https://agentmods.dev/skills/nota-america/forgecat-agent-profiles/journal-entry-prep)
Your own site
<a href="https://agentmods.dev/skills/nota-america/forgecat-agent-profiles/journal-entry-prep"><img src="https://agentmods.dev/badge/skills/nota-america/forgecat-agent-profiles/journal-entry-prep/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 journal-entry-prep

Your own site · 80×15
<a href="https://agentmods.dev/skills/nota-america/forgecat-agent-profiles/journal-entry-prep"><img src="https://agentmods.dev/badge/skills/nota-america/forgecat-agent-profiles/journal-entry-prep.svg" alt="Reviewed on agentmods" width="80" 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 1,617 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 100% 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 5.1 $0.00050 $0.01617
Opus 5 $0.00025 $0.00809
Sonnet 5 $0.00010 $0.00323
Haiku 4.5 $0.00005 $0.00162

Measured 8d ago against content hash 5a1b261c5e30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 8d 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

100% identical to journal-entry-prep — 5 lines 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.

profiles/anthropics/knowledge-work-plugins/anthropics_knowledge-work-plugins_finance/for-claude/.claude/skills/journal-entry-prep/SKILL.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 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 · 190 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. 8d ago First seen · 190 lines · 50 tokens per session scan A 5a1b261c5e30

Subscribe to this mod's changes

journal-entry-prep is a skill published in the GitHub repository nota-america/forgecat-agent-profiles (66 stars, last pushed yesterday), licensed Apache-2.0. It adds 50 tokens to every session and 1,617 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to journal-entry-prep, differing in 5 lines, and is treated as a copy.

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