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Risk Assessment Automation · lloydchang | DecimalAI

code reviewby lloydchang

Risk Assessment Automation

lloydchang/risk-assessment

Source lloydchang/agentic-reconciliation-engine ↗License AGPL-3.0

Evaluates pull requests for risk levels including security, operational, compliance, and business impact. Provides risk scoring and mitigation recommendations.

SkillScore100Maintained

Automatic

DevOps & SRE pack

Last verified 8/4/2026

What it changes

Passed 22 of 22 test cases with the skill, and 13 of 22 without it.

Without skill59%

With skill100%

Checks it passed that the model alone missed

The quantitative scale spans 1-10
The change is categorized as Medium Risk
Moderate risk corresponds to the score range 5-6

and 7 more in the full report

9 fixed13 passed either way0 still failing0 broke

Pass-rate lift: +41 pp
Tokens: +53%
Agent turns: 0%
Response time: -34%

Model gemini-3.6-flashMeasured 8/4/2026v122 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/lloydchang-risk-assessment/SKILL.md https://app.decimal.ai/s/lloydchang-risk-assessment/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add lloydchang-risk-assessment, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/lloydchang-risk-assessment/ and pins it in .decimal/skills.lock

decimalai skills add lloydchang-risk-assessment

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/lloydchang-risk-assessment/SKILL.md https://app.decimal.ai/s/lloydchang-risk-assessment/SKILL.md

Raw file: /s/lloydchang-risk-assessment/SKILL.md ↗ · machine-readable summary at /s/lloydchang-risk-assessment.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 9

Prompt

What is the numerical scale used for quantitative risk scoring in this assessment framework, and what score range indicates moderate risk requiring monitoring?

What was checked, without and with the skill
Checked	Without skill	With skill
The quantitative scale spans 1-10	Missed	Passed
Moderate risk corresponds to the score range 5-6	Missed	Passed

case-18 · gemini-3.6-flash · 8/4/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md186 linessingle file

Risk Assessment Automation

This skill performs comprehensive risk assessment of pull requests across multiple dimensions, providing quantitative risk scores and actionable mitigation strategies.

Risk Dimensions Assessed

1. Security Risk

Authentication Changes: Impact on access control mechanisms
Data Exposure: Potential for sensitive data leakage
Injection Vulnerabilities: SQL, XSS, command injection risks
Cryptographic Weaknesses: Weak encryption or key management
Dependency Vulnerabilities: Third-party library security issues

2. Operational Risk

Performance Impact: CPU, memory, storage, or network degradation
Availability Concerns: Risk of service downtime or reduced capacity
Scalability Issues: Inability to handle increased load
Monitoring Gaps: Loss of observability or alerting
Rollback Complexity: Difficulty reverting changes if needed

3. Compliance Risk

Regulatory Violations: GDPR, HIPAA, PCI-DSS compliance issues
Data Sovereignty: Geographic data storage requirements
Audit Trail: Logging and accountability requirements
Retention Policies: Data lifecycle compliance
Access Controls: Role-based access and least privilege

4. Business Impact Risk

Revenue Impact: Potential effect on business operations
Customer Experience: User-facing functionality changes
Market Risk: Competitive positioning implications
Legal Exposure: Contract or liability implications
Brand Reputation: Public perception consequences

Risk Scoring Methodology

Quantitative Scoring (1-10 Scale)

1-2: Negligible risk, routine changes
3-4: Low risk, minimal impact potential
5-6: Moderate risk, requires monitoring

Track record

Benchmark

22 / 22

test cases passed, vs 13 / 22 without

Adoption

Users: 2
Times used: 27

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

lloydchang / agentic-reconciliation-engine

core/ai/skills/risk-assessment/SKILL.md

View on GitHub ↗

License AGPL-3.0Imported 8/1/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

lloydchang/pr-analysisAnalyzes GitHub pull requests for code quality, security vulnerabilities, performance implications, and best practices. Provides automated code review insights and recommendations.Close match+36 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

Risk Assessment Automation

Risk Dimensions Assessed

1. Security Risk

2. Operational Risk

3. Compliance Risk

4. Business Impact Risk

Risk Scoring Methodology

Quantitative Scoring (1-10 Scale)

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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