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 daehounan/agency-agents-fork --skill finance-analysisgit clone --depth 1 https://github.com/daehounan/agency-agents-forkWrote 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/daehounan/agency-agents-fork/finance-analysis)<a href="https://agentmods.dev/skills/daehounan/agency-agents-fork/finance-analysis"><img src="https://agentmods.dev/badge/skills/daehounan/agency-agents-fork/finance-analysis/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/daehounan/agency-agents-fork/finance-analysis"><img src="https://agentmods.dev/badge/skills/daehounan/agency-agents-fork/finance-analysis.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 | $0.00129 | $0.00326 |
| Opus 5 | $0.00064 | $0.00163 |
| Sonnet 5 | $0.00026 | $0.00065 |
| Haiku 4.5 | $0.00013 | $0.00033 |
Grade A, and why
finance-analysis 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.
What it actually says
Finance Analysis Routing Skill
When this skill activates, route based on the financial discipline involved.
Routing matrix
| User signal | Agent to invoke |
|---|---|
| Month-end close, reconciliation, GAAP, internal controls | finance-bookkeeper-controller |
| Financial modeling, three-statement, DCF, scenario analysis | finance-financial-analyst |
| Budgeting, rolling forecasts, monthly business reviews | finance-fpa-analyst |
| Investment thesis, equity research, portfolio analysis, due diligence | finance-investment-researcher |
| Tax optimization, transfer pricing, ETR, audit defense | finance-tax-strategist |
When NOT to use
- Personal finance / budgeting → use general Claude
- Korean USCPA exam prep → use
uscpa-bar-engineskill - Real-time market data → these agents do analysis frameworks, not live data fetching
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.
- 8d ago First seen · 25 lines · 129 tokens per session scan A 76a40952c26b
finance-analysis is a skill published in the GitHub repository daehounan/agency-agents-fork (2 stars, last pushed 3mo ago), licensed MIT. It adds 129 tokens to every session and 326 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
cost-breakdown
Break down Claude Code costs using the Agent Monitor pricing engine. Shows per-model costs (input, output, cacheread, cachewrite at $/Mtok rates), per-session costs, daily trends, and compaction baseline token recovery. Use when analyzing spending, comparing model costs, or planning budgets.
daily-budget-check
Run a daily spend check-in against a daily budget on the Agent Monitor dashboard — today's spend vs the daily target, pace through the day, and the projected overage if the current pace holds. Uses /api/pricing/cost and /api/sessions (grouped by startedat = today). Use for a quick daily spend check-in or a…
spend-forecast
Forecast Claude Code spend to the end of the week or month from the daily session trend on the Agent Monitor dashboard — moving average of daily spend × days remaining, added to spend-to-date. Uses /api/analytics dailysessions, /api/pricing/cost, and /api/sessions for a per-day cost curve. Use when projecting cost or…
cost-report
Produce a scoped CCAM cost and token report by model, provider, source, and session. Use for spend reviews, model-mix analysis, unpriced usage detection, or export-friendly cost summaries.
pier-cloud
This skill should be used when the user needs to consume the Pier Cloud (Lighthouse) API for cloud cost management — including JWT authentication, listing contexts, workspaces, and FinOps data views. Trigger whenever there is a need to integrate, automate, or debug calls to the Pier Cloud platform via Python, Node.js…
laravel-stripe-connect
Use when implementing multi-vendor marketplace payments, seller onboarding, commissions, payouts, or split payments with Stripe Connect.