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Risk Assessment

skill-m-binimran-finance-pack-risk-assessment · by m-binimran

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.

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Install

$ agentstack add skill-m-binimran-finance-pack-risk-assessment

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Security review

✓ Passed

No 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.

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About

risk-assessment

Name the real risks, size them, and say what changes the picture - not a generic disclaimer list.

Process

  1. Enumerate by category: market/competitive, financial (leverage, liquidity, FX, rates), operational,

regulatory/legal, key-person, customer/supplier concentration, technology, macro.

  1. Likelihood x impact for each (and time horizon) - prioritize the ones that are both probable and severe.
  2. Quantify where possible (e.g. "a 200bps rate rise adds $Xm interest"; "top-customer loss = Y% of revenue").
  3. Mitigants & monitors: what reduces each risk and the early-warning metric to watch.
  4. Tie to the thesis: which risks would actually break it (scenario-analysis bear 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.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.