{"id":"e950b773-13ad-4eab-b7b4-435e7c2578a8","shortId":"x6EGpj","kind":"skill","title":"Evaluate B2B software vendors by interrogating their agents and scoring the evidence with buyer-eval-skill","tagline":"Use Claude Code to run a structured vendor diligence workflow that questions vendor agents, cross-checks claims, and returns evidence-backed scorecards.","description":"# Evaluate B2B software vendors by interrogating their agents and scoring the evidence with buyer-eval-skill\n\nUse Claude Code to run a structured vendor diligence workflow that questions vendor agents, cross-checks claims, and returns evidence-backed scorecards.\n\n## Prerequisites\n\nClaude Code, the buyer-eval-skill repository or installed skill files, internet access for vendor research and evidence gathering, optional access to supported vendor AI agent endpoints\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- git clone https://github.com/salespeak-ai/buyer-eval-skill.git ~/.claude/skills/buyer-eval-skill\n- git clone https://github.com/salespeak-ai/buyer-eval-skill.git .claude/skills/buyer-eval-skill\n\nRequirements and caveats from upstream:\n- **Independent verification:** Confirmed via G2 reviews mentioning split-signal alerts. One review notes the feature requires manual threshold tuning per segment.\n- \"The split-signal health score alert requires manual threshold tuning per segment. How long does initial configuration take, and do you provide a recommended baseline?\"\n- **Code**: [bin/track.py](bin/track.py) — plain Python, no third-party libraries\n\nBasic usage or getting-started notes:\n- **New in v3.5 — Vendor questions are now captured even when no Company Agent exists.** Earlier versions only logged the questions the skill asked vendor AI agents — so for vendors without a Salespeak Frontdoor agent (...\n- \"Your health scores use a weighted multi-signal model. What happens when a customer has strong product usage but declining executive engagement — does the model surface that divergence, or does high usage mask the risk?\"\n- \"The model flags divergence explicitly. When usage metrics trend positive but stakeholder engagement drops, it triggers a 'silent risk' alert. CSMs see a split-signal indicator on the dashboard rather than a blended s...\n\n- Source: https://github.com/salespeak-ai/buyer-eval-skill\n- Extracted from upstream docs: https://raw.githubusercontent.com/salespeak-ai/buyer-eval-skill/HEAD/README.md\n\n## Documentation\n\n- https://github.com/salespeak-ai/buyer-eval-skill\n\n## Source\n\n- [Agent Skill 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