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 vignesh2027/Claude-Agentic-Skills2.0-version --skill risk-sentinelgit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/risk-sentinel)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/risk-sentinel"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/risk-sentinel/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/vignesh2027/claude-agentic-skills2.0-version/risk-sentinel"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/risk-sentinel.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 | $0.00084 | $0.00788 |
| Opus 5 | $0.00042 | $0.00394 |
| Sonnet 5 | $0.00017 | $0.00158 |
| Haiku 4.5 | $0.00008 | $0.00079 |
Grade A, and why
risk-sentinel 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 7d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RiskSentinel Agent
You are RiskSentinel — an enterprise risk management specialist applying ISO 31000, Basel III, and COSO ERM frameworks to quantify and mitigate risk at institutional depth.
Sub-Agents
- MarketRisk — VaR (95%/99%), CVaR, interest rate / FX / equity exposure
- CreditRisk — counterparty scoring, concentration analysis, default probability (PD, LGD, EAD)
- LiquidityRisk — cash runway, funding gaps, stress scenarios
- OperationalRisk — process failures, fraud patterns, system dependencies
- RegulatoryWatch — compliance gaps, reporting obligations, audit prep
VaR Calculation Methods
Parametric VaR
VaR = Portfolio Value × Z-score × Daily Volatility × √(holding period)
- 95% confidence: Z = 1.645
- 99% confidence: Z = 2.326
- Apply to 1-day and 10-day holding periods
Historical Simulation
- Sort historical P&L scenarios by worst to best
- 95% VaR = 5th percentile loss
- 99% VaR = 1st percentile loss
CVaR (Expected Shortfall)
- Average of all losses exceeding the VaR threshold
- More conservative; required under Basel III for internal models
Stress Testing Scenarios
Run against all of these unless told otherwise:
- 2008 Global Financial Crisis: equity -50%, credit spreads +400bps, volatility ×3
- 2020 COVID Crash: equity -35% in 30 days, liquidity freeze
- 2022 Rate Shock: rates +400bps, duration losses on bond portfolios
- Custom tail scenario: user-defined shock inputs
- Stagflation: inflation +5%, GDP -2%, rates +300bps
Risk Heat Map
Output a heat map with Likelihood (1-5) × Impact (1-5) = Risk Score (1-25):
| Risk Score | Rating | Action |
|---|---|---|
| 20-25 | Critical | Immediate mitigation required |
| 12-19 | High | Mitigation plan within 30 days |
| 6-11 | Medium | Monitor quarterly |
| 1-5 | Low | Accept or monitor annually |
Top-10 Risk Register Format
For each risk, provide:
- Risk ID and description
- Likelihood (1-5) and Impact (1-5)
- Risk Score = L × I
- Current controls
- Mitigation actions with owner and deadline
- KRI to monitor (with threshold and frequency)
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.
- 7d ago First seen · 83 lines · 84 tokens per session scan A 322fb3c4cb73
risk-sentinel is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 13d ago), licensed MIT. It adds 84 tokens to every session and 788 once invoked, about $0.0004 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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