Skill audit report
Connect and configure the user's CRM (HubSpot or Pipedrive) for safe AI-driven enrichment through anysite MCP crm_* tools. Runs a short discovery - reads the CRM schema including custom properties, agrees a deterministic field mapping with the user in 3-5 questions, and saves a local CRM profile that all future enrichment sessions follow. Use when the user wants to connect their CRM, set up CRM enrichment, configure field mapping, re-run CRM discovery after schema changes, or asks why CRM writes are skipped. Also defines the mandatory rules every agent must follow when writing to CRM with crm_upsert_contacts / crm_upsert_companies.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
20 GitHub stars
Stars/forks activity
FAIL32
20 stars, 5 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
5d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add anysiteio/agent-skills --skill anysite-crm-setup
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL34
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/anysiteio/agent-skills/tree/main/plugins/anysite-gtm/skills/anysite-crm-setup
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add anysiteio/agent-skills --skill anysite-crm-setup
Repository
88
https://github.com/anysiteio/agent-skills/tree/main/plugins/anysite-gtm/skills/anysite-crm-setup
License
86
MIT
Maintenance
100
5d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Warnings
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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Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
34
secrets or environment access, filesystem or document access
Stars/forks activity
32
20 stars, 5 forks; issue activity unavailable in current metadata
Adoption
42
20 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.