Skill audit report
How to use the anysite MCP server effectively - the meta-tools (discover, execute, get_page, query_cache, export_data, search_requests, merge_data with join_on enrichment), the interactive entity table and lead review (show_entity_table, review_leads), the source map for GTM signals (funding, hiring, tech stack, reviews, news, launches), email finding cascades, domain->company resolution, and cost-aware calling patterns. Consult this before any anysite data work. Use when unsure which source or endpoint covers a data need, how much a call costs / how many credits, why an endpoint is 'not found', how to reuse a cache_key, how to paginate or re-filter cached results, or how to combine sources into a signal chain.
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
3d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN56
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add anysiteio/agent-skills --skill anysite-mcp
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-mcp
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-mcp
Repository
88
https://github.com/anysiteio/agent-skills/tree/main/plugins/anysite-gtm/skills/anysite-mcp
License
86
MIT
Maintenance
100
3d 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
56
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
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.
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.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.