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 strikersam/autonomous-ai-agency --skill financial-analystgit clone --depth 1 https://github.com/strikersam/autonomous-ai-agencyWrote 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/strikersam/autonomous-ai-agency/financial-analyst)<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/financial-analyst"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/financial-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/strikersam/autonomous-ai-agency/financial-analyst"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/financial-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00597 |
| Opus 5.5 | $0.00013 | $0.00239 |
| Sonnet 5.5 | $0.00007 | $0.00119 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
financial-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 2mo 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
Skill: financial-analyst (Agentic CFO)
Purpose
Autonomous financial analysis for AI infrastructure costs. Ingests cost lines, computes standard CFO metrics, and emits per-line budget recommendations.
When to Use
- After adding new cost lines to the infrastructure budget
- Monthly financial review cycles
- Before scaling any AI service that incurs cost
- When runway drops below 6 months (triggers CUT recommendations)
Components
| Class | Role |
|---|---|
CostLine |
Single budget line item (name, monthly_cost, revenue_attributed) |
FinancialMetrics |
Core metrics: burn rate, runway, gross margin |
BudgetOptimizer |
Greedy ROI-weighted budget reallocation |
FinancialAgent |
Recommendation engine: CUT / SCALE / HOLD / INVESTIGATE |
Quick Start
from agents.financial_analyst import (
CostLine, FinancialMetrics, FinancialAgent,
)
metrics = FinancialMetrics(
monthly_revenue=50_000,
monthly_costs=35_000,
cash_on_hand=200_000,
cost_lines=[
CostLine("gpu", 20_000, revenue_attributed=40_000, category="cogs"),
CostLine("api", 5_000, revenue_attributed=50_000, category="operations"),
],
)
agent = FinancialAgent()
recs = agent.assess(metrics)
for line_name, rec in recs.items():
print(f"{line_name}: {rec.value}")
Decision Rules
| Condition | Recommendation |
|---|---|
| runway < 6 months | CUT lowest-ROI line |
| gross_margin < 0.40 | INVESTIGATE COGS lines |
| line.roi > 5.0 and category in {sales, R&D} | SCALE |
| line.roi < 0.5 and not strategic | CUT |
| otherwise | HOLD |
Testing
pytest tests/test_financial_analyst.py -v
22 tests covering CostLine, FinancialMetrics, BudgetOptimizer, and FinancialAgent.
Branch
fix/quick-note-236-agentic-cfo
SKILL.md refresh Tue Jun 2 11:35:52 CEST 2026
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.
- 2mo ago First seen · 86 lines · 33 tokens per session scan A 8492882b4e31
financial-analyst is a skill published in the GitHub repository strikersam/autonomous-ai-agency (11 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 597 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 2026-09-03.
financial-analyst compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| financial-analyststrikersam/autonomous-ai-agency | Skill | 11 | yesterday | MIT | A | 33 | Claude Code, Codex |
| ramppaperclipai/paperclip | Skill | 111k | yesterday | MIT | A | 35 | Claude Code, Codex |
| agent-agentic-paymentsruvnet/ruflo | Skill | 81k | yesterday | MIT | A | 22 | Claude Code |
| cost-efficiency-analyzerawslabs/agentcore-samples | Skill | 3.5k | yesterday | Apache-2.0 | A | 98 | Claude Code, Codex |
| assimilate-popular-workflowsa5c-ai/babysitter | Skill | 1.9k | 5d ago | MIT | A | 110 | Claude Code |
| mcp-app-verificationa5c-ai/babysitter | Skill | 1.9k | 5d ago | MIT | A | 48 | Claude Code |
| guardrails-ai-setupa5c-ai/babysitter | Skill | 1.9k | 5d ago | MIT | A | 30 | Claude Code |