Risk Assessment
Identify, quantify, and prioritize the financial and business risks of an investment, company, or plan - with likelihood, impact, and mitigants. Use to stress a thesis or build a risk section.
Install
$ agentstack add skill-m-binimran-finance-pack-risk-assessment ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-m-binimran-finance-pack-risk-assessment) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
risk-assessment
Name the real risks, size them, and say what changes the picture - not a generic disclaimer list.
Process
- Enumerate by category: market/competitive, financial (leverage, liquidity, FX, rates), operational,
regulatory/legal, key-person, customer/supplier concentration, technology, macro.
- Likelihood x impact for each (and time horizon) - prioritize the ones that are both probable and severe.
- Quantify where possible (e.g. "a 200bps rate rise adds $Xm interest"; "top-customer loss = Y% of revenue").
- Mitigants & monitors: what reduces each risk and the early-warning metric to watch.
- Tie to the thesis: which risks would actually break it (
scenario-analysisbear case).
Output
- A prioritized risk register: risk -> likelihood/impact -> quantified exposure -> mitigant -> monitor, plus the
2-3 thesis-breakers.
Guardrails
- Quantify, don't just list (
analysis-objectivity); exposure figures sourced where used. - Be honest about the downside; don't bury risks to support a conclusion.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: m-binimran
- Source: m-binimran/finance-pack
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.