Skill audit report
Map the buying committee at one target account - economic buyer, champion candidates, technical evaluators, users and blockers (legal, security, procurement, finance) - from the 856M-profile database and live profiles, cross-checked against the CRM, with recently appointed people flagged, coverage gaps and single-thread risk called out, and an order to engage them. Use when the user asks who to talk to at a company, who the decision makers are, to multi-thread a deal, map stakeholders or an org chart for a sale, or prepare account-based outreach - "кто принимает решение", "карта ЛПР", "buying committee", "stakeholder map". For a pre-meeting brief use anysite-crm-account-brief; for people across many companies use anysite-people-sourcing.
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
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO64
command execution surface, database surface
Install availability
PASS92
npx skills add anysiteio/agent-skills --skill anysite-buying-committee
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO64
shell or command execution, database access
Repository evidence
PASS86
https://github.com/anysiteio/agent-skills/tree/main/plugins/anysite-gtm/skills/anysite-buying-committee
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-buying-committee
Repository
88
https://github.com/anysiteio/agent-skills/tree/main/plugins/anysite-gtm/skills/anysite-buying-committee
License
86
MIT
Maintenance
100
3d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
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
command execution surface, database surface
Install command safety
92
standard package or runtime install path
Permission surface
64
shell or command execution, database 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.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.