OpenAgentSkill
GitHub200+

Skill audit report

auto-research-public Audit report.

Autonomous cold email campaign launcher. Takes one target company domain, scrapes their website, generates an ICP with Claude, pulls matching leads via Prospeo, enriches emails + company descriptions, personalizes each lead with parallel Claude Code Task sub-agents (A/B/C variants), and uploads as a live Smartlead campaign. Uses local JSON files for state (no database required). Use for automated daily campaign launches after you have an initial `client-profile.yaml` from /icp-onboarding. Triggers on "auto-research", "launch an automated campaign", "daily campaign", "run the research loop".

BLOCKED · BLOCKNeeds reviewGenerated Oct 14, 2026Heuristic metadata audit
74
Audit
64
Trust
72
Quality
70
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

64
Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

INFO

76

682 GitHub stars

Stars/forks activity

INFO

71

682 stars, 243 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

FAIL

38

command execution surface, credential or environment access

Install availability

PASS

92

npx skills add growthenginenowoslawski/coldoutboundskills --skill auto-research-public

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

18

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/growthenginenowoslawski/coldoutboundskills/tree/main/skills/auto-research-public

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 16 Needs review

Install path

92

PASS

npx skills add growthenginenowoslawski/coldoutboundskills --skill auto-research-public

Repository

88

PASS

https://github.com/growthenginenowoslawski/coldoutboundskills/tree/main/skills/auto-research-public

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

SKILL.md excerpt is incomplete; full workflow (phases 6-7) not fully documented in the provided excerpt, though phase-upload.ts is present.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

38

FIX

command execution surface, credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

18

FIX

secrets or environment access, shell or command execution

Stars/forks activity

71

CHECK

682 stars, 243 forks; issue activity unavailable in current metadata

Adoption

88

PASS

682 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
  • SKILL.md excerpt is incomplete; full workflow (phases 6-7) not fully documented in the provided excerpt, though phase-upload.ts is present.
  • No explicit compliance guidance (CAN-SPAM, GDPR, etc.) for cold email outreach.
  • Scripts lack robust error handling for API failures (e.g., retries, timeouts) and may fail silently on partial network issues.
  • 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
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

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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