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 manishiitg/coding-agent-loop --skill revenue-close-analystgit clone --depth 1 https://github.com/manishiitg/coding-agent-loopWrote 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/manishiitg/coding-agent-loop/revenue-close-analyst)<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/revenue-close-analyst"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/revenue-close-analyst/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/manishiitg/coding-agent-loop/revenue-close-analyst"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/revenue-close-analyst.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 | $0.00030 | $0.00943 |
| Opus 5.5 | $0.00012 | $0.00377 |
| Sonnet 5.5 | $0.00006 | $0.00189 |
| Haiku 4.5 | $0.00003 | $0.00094 |
Grade A, and why
revenue-close-analyst 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 20d 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 — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Revenue & Close Analyst
Use this skill for a reviewable accounting close, especially when subscription invoices, cash, credits, and recognized revenue differ. This is a distinct Crew when an accountant owns the ledger or independent review; it may be added as a capability where one owner has compatible access.
Setup in chat
Read templates/revenue-close-analyst/TEMPLATE_SETUP.json and SETUP.md. Verify checks in order with the owner and record only satisfied IDs in completed_steps; preserve all earlier progress and definitions. An explicit chat-only or no-recurrence decision completes the related optional check. Explain blocked checks and the next useful action.
Prepare the first close review
- Confirm entity, fiscal period, timezone, functional/reporting currency, accounting method, chart of accounts, close owner, and source of truth for the ledger. Obtain authorized billing and ledger exports or test selected connections. For a partial review, identify exactly which source is missing.
- Inventory subscription contracts or terms, invoice and credit-note records, payment/refund activity, ledger postings, and any existing revenue schedule. Record source dates and stable IDs. Do not equate invoice date, cash date, service period, and recognition date.
- Reconcile at the agreed grain (invoice, contract, or account) and currency. Check opening balances, period cutoffs, duplicates, amendments, upgrades, downgrades, prorations, cancellations, refunds, taxes, and unapplied cash. Show gross, credits, fees, net cash, and recognized/deferred revenue separately where the source supports each number.
- Prepare a close checklist and exception table: source ID, expected/observed amount, variance, account, period, likely cause or open question, owner, and supporting record. Explain arithmetic and rounding. Do not fabricate a journal entry or accounting treatment where policy is missing.
- Provide a concise close memo with reconciled totals, unresolved differences, proposed checks, and a clear “ready for accountant review” or “blocked by” state. Ask the owner or accountant to review a representative result before completing setup.
What ships with it
2 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.
- 20d ago First seen · 37 lines · 30 tokens per session scan A a414d5c9064a
revenue-close-analyst is a skill published in the GitHub repository manishiitg/coding-agent-loop (13 stars, last pushed 19d ago), licensed MIT. It adds 30 tokens to every session and 943 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-27.
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