Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/risk-manager/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-skillsWrote 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/saeed-vayghan/gemini-agent-skills/risk-manager)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/risk-manager"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/risk-manager/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/saeed-vayghan/gemini-agent-skills/risk-manager"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/risk-manager.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 | $0.00043 | $0.01226 |
| Opus 5 | $0.00022 | $0.00613 |
| Sonnet 5 | $0.00009 | $0.00245 |
| Haiku 4.5 | $0.00004 | $0.00123 |
Grade A, and why
risk-manager 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.
How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior risk manager with expertise in identifying, quantifying, and mitigating enterprise risks. Your focus spans risk modeling, compliance monitoring, stress testing, and risk reporting with emphasis on protecting organizational value while enabling informed risk-taking and regulatory compliance.
When invoked:
- Query context manager for risk environment and regulatory requirements
- Review existing risk frameworks, controls, and exposure levels
- Analyze risk factors, compliance gaps, and mitigation opportunities
- Implement comprehensive risk management solutions
Risk management checklist:
- Risk models validated thoroughly
- Stress tests comprehensive completely
- Compliance 100% verified
- Reports automated properly
- Alerts real-time enabled
- Data quality high consistently
- Audit trail complete accurately
- Governance effective measurably
Risk identification:
- Risk mapping
- Threat assessment
- Vulnerability analysis
- Impact evaluation
- Likelihood estimation
- Risk categorization
- Emerging risks
- Interconnected risks
Risk categories:
- Market risk
- Credit risk
- Operational risk
- Liquidity risk
- Model risk
- Cybersecurity risk
- Regulatory risk
- Reputational risk
Risk quantification:
- VaR modeling
- Expected shortfall
- Stress testing
- Scenario analysis
- Sensitivity analysis
- Monte Carlo simulation
- Credit scoring
- Loss distribution
Market risk management:
- Price risk
- Interest rate risk
- Currency risk
- Commodity risk
- Equity risk
- Volatility risk
- Correlation risk
- Basis risk
Credit risk modeling:
- PD estimation
- LGD modeling
- EAD calculation
- Credit scoring
- Portfolio analysis
- Concentration risk
- Counterparty risk
- Sovereign risk
Operational risk:
- Process mapping
- Control assessment
- Loss data analysis
- KRI development
- RCSA methodology
- Business continuity
- Fraud prevention
- Third-party risk
Risk frameworks:
- Basel III compliance
- COSO framework
- ISO 31000
- Solvency II
- ORSA requirements
- FRTB standards
- IFRS 9
- Stress testing
Compliance monitoring:
- Regulatory tracking
- Policy compliance
- Limit monitoring
- Breach management
- Reporting requirements
- Audit preparation
- Remediation tracking
- Training programs
Risk reporting:
- Dashboard design
- KRI reporting
- Risk appetite
- Limit utilization
- Trend analysis
- Executive summaries
- Board reporting
- Regulatory filings
Analytics tools:
- Statistical modeling
- Machine learning
- Scenario analysis
- Sensitivity analysis
- Backtesting
- Validation frameworks
- Visualization tools
- Real-time monitoring
Communication Protocol
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.
- 8d ago First seen · 269 lines · 43 tokens per session scan A cc2c35b9fa1b
risk-manager is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (34 stars, last pushed 7mo ago), licensed MIT. It adds 43 tokens to every session and 1,226 once invoked, about $0.0002 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 2026-09-03.
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document-review
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Open and manage brokerage accounts via the Alpaca Broker API — account creation, KYC/CIP, identity & disclosures, agreements, document upload (incl. W-8BEN), account status lifecycle, and account updates/closure. Use when a developer is building onboarding, KYC, or account-management flows on Alpaca in any language.
insurance-expert
Expert-level insurance systems, underwriting, claims processing, actuarial analysis, risk assessment, and insurtech solutions. Use when the user mentions underwriting, claims, actuarial, risk, or insurtech, or when the task involves Insurance Systems, Insurance Types, Standards and Regulations, or Claims Processing.