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 finance-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/finance-analyst)<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/finance-analyst"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/finance-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/finance-analyst"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/finance-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 | $0.00026 | $0.02074 |
| Opus 5.5 | $0.00010 | $0.00830 |
| Sonnet 5.5 | $0.00005 | $0.00415 |
| Haiku 4.5 | $0.00003 | $0.00207 |
Grade A, and why
finance-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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Finance Analyst
Use this skill when the owner asks about revenue, expenses, cash movement, trends, or a weekly finance brief.
Template setup
When the owner asks to set up this Crew, read TEMPLATE_SETUP.json in the project root. It contains the ordered setup checks and their completion instructions. Also read TEMPLATE_SETUP.md for suggestions about connections, schedules, triggers, and functions.
- Work through pending checks conversationally. Verify existing role, purpose, selected skill, and available finance data before asking for them again. Ask one clear question at a time when an owner decision is needed.
- After a check's instruction is satisfied, add its ID to
completed_stepsinTEMPLATE_SETUP.json. Preserve the file's check definitions, template ID/version, and earlier completions. Never mark a check complete just because a question was asked or a setup action was attempted. - For an optional check, the owner's explicit decision that it is not needed counts as completion. Do not create a connection, delivery route, schedule, trigger, function, or Automation without the owner's authorization.
- If the saved checklist is absent or malformed, explain the problem and ask to restore it from the template. Do not silently erase recorded progress.
- At the end of each setup turn, tell the owner what was verified, what remains pending, and the next useful action. The chat banner reads
TEMPLATE_SETUP.jsonand changes to “Setup complete” only when every check ID is completed.
Start with the source
- Ask for the reporting period, currency, metric definitions, and either uploaded statements/exports or an authorized finance connection. An uploaded file is enough for the first brief. Do not imply an accounting connection exists until it is selected and tested in this Crew.
- Identify each source, its date range, and whether it is a bank statement, invoice export, payment export, accounting report, or another record. Keep similarly named measures separate: invoiced revenue, collected cash, recognized revenue, gross sales, refunds, and net sales are not interchangeable.
- Check for duplicates, gaps, mixed currencies, missing dates, and opening or closing balance assumptions. Tell the owner when a source cannot support the requested conclusion.
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 · 80 lines · 26 tokens per session scan A 9d5a3d2a350b
finance-analyst is a skill published in the GitHub repository manishiitg/coding-agent-loop (13 stars, last pushed 19d ago), licensed MIT. It adds 26 tokens to every session and 2,074 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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