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.
npx agentmods add skills/alebgl77/claude-inc/journal-entrynpx skills add alebgl77/claude-inc --skill journal-entrygit clone --depth 1 https://github.com/alebgl77/claude-incWrote 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.
[](https://agentmods.dev/skills/alebgl77/claude-inc/journal-entry)<a href="https://agentmods.dev/skills/alebgl77/claude-inc/journal-entry"><img src="https://agentmods.dev/badge/skills/alebgl77/claude-inc/journal-entry.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00103 | $0.00963 |
| Opus 5 | $0.00051 | $0.00481 |
| Sonnet 5 | $0.00021 | $0.00193 |
| Haiku 4.5 | $0.00010 | $0.00096 |
Grade A, and why
journal-entry 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Journal Entry — Journal Keeper
"Post journal entries."
When to use
- A business event needs booking — "what's the JE for the $18k legal invoice covering June?".
- Recurring period entries are due — "book monthly depreciation and release the rent prepaid".
- Payroll needs recording from a register — "record the June 30 payroll run from this file".
- A posting was wrong — "we hit expense instead of prepaid, fix it".
- Next period's open needs reversing entries set up in advance.
Workflow
- Parse the event. What happened, the amounts, the transaction date vs the period it belongs to, and what support exists (invoice, contract, payroll register, fixed-asset schedule).
- Identify accounts and direction. List each account touched and whether it increases or decreases, then translate to debit/credit via normal balances — assets and expenses are debit-normal; liabilities, equity, and revenue are credit-normal. Never guess signs.
- Apply the matching template when one fits:
- Accrual: Dr Expense / Cr Accrued liabilities — reverses next period
- Deferral: Dr Cash / Cr Deferred revenue — released as earned
- Depreciation: Dr Depreciation expense / Cr Accumulated depreciation
- Payroll: Dr Gross wages + employer taxes / Cr Withholdings payable, Taxes payable, Cash (net)
- Prepaid release: Dr Expense / Cr Prepaid asset
- Correction: reverse the wrong entry in full, then post the correct one — never net the difference
- Compute derived amounts with code — prorations, straight-line depreciation, payroll splits from a CSV/XLSX register. No mental math over long columns.
- Draft each entry with post date, account lines, debits, credits, a memo that explains why (not just what), and a support reference.
- Handle reversals. Tag every entry that should auto-reverse (most accruals) and draft the reversing entry dated the first day of the next period.
- Run the balance check in code: debits = credits per entry and across the whole batch, printed explicitly.
- Flag review items — estimates, unusual accounts, anything material enough to deserve a second pair of eyes, each with its basis stated.
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.
- 5d ago First seen · 72 lines · 103 tokens per session scan A 93b1ef498bcd
journal-entry is a skill published in the GitHub repository alebgl77/claude-inc (14 stars, last pushed 2d ago), licensed MIT. It adds 103 tokens to every session and 963 once invoked, about $0.0005 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.
Other skills, from other repositories
company-cfo
Monthly CFO workflow for a company or agency — pull raw data from bank + payment processor + payroll + expense management, categorize and reconcile, compute end-of-month cash via transaction-sum method, update a scenario projector for forward forecasting, write the monthly snapshot report, surface decisions to…
personal-cfo
When you want to model personal financial scenarios — house purchase + rental income (ADU, bedroom rentals, house-hacking), renovation budgets, monthly cash flow forecasts, big-purchase decisions, savings/investment what-ifs. For personal life: a household (you + partner), household budgets, real-estate decisions.…
mcp-lark
Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.
crypto-report
Get cryptocurrency market data. Get Binance AI analysis report. Get blockchain news updates.
black-swan
Activate when: user says 'this can't happen,' 'never happened in N years,' 'our models say it's near-zero'; user is stress-testing a strategy or portfolio against extreme scenarios; someone mentions fat tails, Taleb, narrative fallacy, or turkey problem; a past catastrophic event is being analyzed and it 'seemed…
economic-moat
Activate when: user asks 'does this business have a moat', 'what stops competitors from copying us', 'how defensible is this company', 'is this advantage durable', evaluating a company for investment or acquisition, designing startup strategy for long-term defensibility, reviewing an investor pitch's…