OpenAgentSkill
GitHub200+

Skill audit report

didit-aml-screening Audit report.

Integrate Didit AML Screening standalone API to screen individuals or companies against global watchlists. Use when the user wants to perform AML checks, screen against sanctions lists, check PEP status, detect adverse media, implement KYC/AML compliance, screen against OFAC/UN/EU watchlists, calculate risk scores, or perform anti-money laundering screening using Didit. Supports 1300+ databases, fuzzy name matching, configurable scoring weights, and continuous monitoring.

BLOCKED · BLOCKNeeds reviewGenerated Nov 7, 2026Heuristic metadata audit
68
Audit
61
Trust
55
Quality
68
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

61
Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

WARN

48

26 GitHub stars

Stars/forks activity

WARN

43

26 stars, 4 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

3mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

FAIL

36

command execution surface, credential or environment access

Install availability

PASS

92

npx skills add didit-protocol/skills --skill didit-aml-screening

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

22

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/didit-protocol/skills/tree/main/skills/didit-aml-screening

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 18 Needs review

Install path

92

PASS

npx skills add didit-protocol/skills --skill didit-aml-screening

Repository

88

PASS

https://github.com/didit-protocol/skills/tree/main/skills/didit-aml-screening

License

86

PASS

MIT

Maintenance

88

PASS

3mo since push

AI review

55

CHECK

The utility script `screen_aml.py` uses `hit.get('name')` and `hit.get('categories')` but the API response uses `caption` and `datasets` respectively, which may cause incorrect output formatting.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

36

FIX

command execution surface, credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

22

FIX

secrets or environment access, shell or command execution

Stars/forks activity

43

FIX

26 stars, 4 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

26 GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • The utility script `screen_aml.py` uses `hit.get('name')` and `hit.get('categories')` but the API response uses `caption` and `datasets` respectively, which may cause incorrect output formatting.
  • The script does not handle cases where the `aml` key is missing from the response, which could lead to a KeyError.
  • Low GitHub adoption signal
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 26 GitHub stars
  • Stars/forks activity: 26 stars, 4 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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