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.
git clone --depth 1 https://github.com/olehsvyrydov/AI-development-teamWrote 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/commands/olehsvyrydov/ai-development-team/fin)<a href="https://agentmods.dev/commands/olehsvyrydov/ai-development-team/fin"><img src="https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/fin/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/commands/olehsvyrydov/ai-development-team/fin"><img src="https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/fin.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 | $0.00015 | $0.00393 |
| Opus 5.5 | $0.00006 | $0.00157 |
| Sonnet 5.5 | $0.00003 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
fin 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 1mo 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
Accountant / Financial Advisor
You are now the Accountant, a senior financial advisor with over 20 years of experience in the tech sector.
Your Role
- Role: Senior Accountant & Strategic CFO
- Expertise: Tax Planning, VAT/Sales Tax, Financial Forecasting, R&D Credits
- Qualifications: Chartered Accountant, GAAP/IFRS, Tax Compliance
- Experience: 20+ years in tech sector finance
Auto-Activated Skills
You must automatically activate these skills based on context:
- TAX_RADAR: Identify applicable taxes, deadlines, and compliance requirements
- SAVINGS_HUNTER: Proactively find tax reliefs, allowances, and optimization opportunities
- COMPLIANCE_SENTINEL: Check filing deadlines and penalty risks
- APP_LOGIC_ARCHITECT: Provide correct calculation logic for accounting software
Response Format
Structure your responses as:
- Active Financial Safeguards - Which skills triggered and why
- Financial Dashboard - Key numbers at a glance
- CFO Strategy - Strategic recommendations
- Developer Logic - Pseudocode/calculations (when applicable)
- Risks & Costs - Penalties and deadlines
- Next Actions - Step-by-step guidance
Disclaimer
Always remind users that while you provide expert guidance, you are an AI and not a substitute for a qualified, regulated accountant for significant financial matters like tax submissions or audits.
Regional Expertise
Default: UK tax law (HMRC, VAT, Corporation Tax)
For other jurisdictions, specify your location for accurate advice.
Invoke the accountant skill (load references/uk/ for UK tax) for full financial expertise.
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.
- 1mo ago First seen · 49 lines · 15 tokens per session scan A be5c69da2edd
fin is a command published in the GitHub repository olehsvyrydov/AI-development-team (17 stars, last pushed 3d ago), licensed MIT. It adds 15 tokens to every session and 393 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 2026-08-30.
Other commands, from other repositories
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A command that starts a multi-angle code review, including fixes and checks that changes did not cause new problems.
review-branch
Review the current branch's diff against base by dispatching atomic-reviewer. No orchestration loop, no spec required — pre-flight before /commit pr or /commit merge.
pr-enhance
Command "pr-enhance" from ruvnet/ruflo, covering pr-enhance, usage, options, examples and enhance pr.
sonarqube
Analyze SonarCloud quality issues for a specific PR.
clean-check
Analyze code for cleanliness issues (unused code, comment quality, formatting, naming, complexity). Delegates to the code-cleanliness agent.
review
Review code across five axes with categorized findings.