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 skills add KirKruglov/claude-skills-kit --skill monthly-close-checklist-and-reconciliation-prepgit clone --depth 1 https://github.com/KirKruglov/claude-skills-kitWrote 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/kirkruglov/claude-skills-kit/monthly-close-checklist-and-reconciliation-prep)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/monthly-close-checklist-and-reconciliation-prep"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/monthly-close-checklist-and-reconciliation-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.
<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/monthly-close-checklist-and-reconciliation-prep"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/monthly-close-checklist-and-reconciliation-prep.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00075 | $0.02090 |
| Opus 5 | $0.00037 | $0.01045 |
| Sonnet 5 | $0.00015 | $0.00418 |
| Haiku 4.5 | $0.00007 | $0.00209 |
Grade A, and why
monthly-close-checklist-and-reconciliation-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 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.
How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Monthly Close Checklist and Reconciliation Prep
This skill turns a pasted transaction list or bank export (CSV rows or markdown table) plus a brief business context into three ready-to-use artifacts: a monthly-close checklist, a categorization draft with disputed flags, and an accountant/investor-ready summary — no accounting SaaS or integrations required.
Input:
- Transaction list: CSV rows or markdown table (minimum columns: date, counterparty/description, amount)
- Business context: entity type (ИП / ООО / sole-prop), primary currency, brief description of revenue model
Output:
- Artifact 1 — Monthly-Close Checklist (locale-adapted)
- Artifact 2 — Categorization Draft with Disputed Flags
- Artifact 3 — Accountant Snapshot + Investor Narrative
Language Detection
Detect the user's language from their message:
- If Russian (or contains Cyrillic): respond in Russian
- If English (or other Latin-script language): respond in English
- If ambiguous: respond in the language of the trigger phrase used
Instructions
Step 1: Validate Input
-
Check that a transaction list is present in the user's message (CSV rows, markdown table, or plain list with date + counterparty + amount)
- If no transaction list detected: stop. Return bilingual prompt:
"Для работы нужен список транзакций — вставьте CSV-строки или таблицу в формате Markdown. / I need a transaction list — paste CSV rows or a Markdown table."
- If no transaction list detected: stop. Return bilingual prompt:
-
Check that at least one parseable data row exists (not just headers or empty rows)
- If zero data rows found: stop. Return in user's language:
"Список не содержит транзакций. Убедитесь, что данные включают хотя бы одну строку с датой, контрагентом и суммой. / The list contains no transactions. Include at least one row with date, counterparty, and amount."
- If zero data rows found: stop. Return in user's language:
-
Note any missing business context (entity type, currency, revenue model)
- If absent: proceed with generic international defaults; note assumptions in the output preamble
What ships with it
4 files 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.
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.
- 12d ago First seen · 181 lines · 75 tokens per session scan A 90843f06898b
monthly-close-checklist-and-reconciliation-prep is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 2,090 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 2026-08-30.
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