What problem does it solve?
Generic AI-generated contractor prequalification paperwork is often rejected by regulators: it uses vague scopes, defaults to low-order controls like PPE, scores unverified self-asserted claims, lacks clear approve/conditional/reject recommendations, and risks leaking sensitive personal health or enforcement data. This Skill eliminates those failures by enforcing strict specificity, evidence-only scoring, and mandatory de-identification before any output is produced.
Core Features & Use Cases
- Risk-Tiered PQQ Generation: Automatically adjusts the depth of the prequalification questionnaire to the work's risk level (T1 low/admin, T2 medium, T3 high-hazard) based on the highest-risk activity in the scope, per ISO 45001 clause 8.1.4.
- Evidence-Based Scoring: Scores every criterion only against verifiable, supplied evidence (not contractor claims), flags missing or unverified evidence as [GAP] items that block unconditional approval, and enforces that high-hazard work cannot pass on PPE or competence claims alone.
- Defensible Recommendations: Produces clear approve/conditional/reject recommendations with SMART conditions (named owner, due date, measure) and review dates, grounded in relevant local regulations including UK CDM 2015 reg. 8, US OSHA multi-employer policy, and Indian state-specific HSE rules.
- Use Case: A construction HSE manager needs to prequalify a scaffolding subcontractor for work-at-height tasks on a plant turnaround. This Skill runs a structured intake to capture the exact scope, evidence, and jurisdiction, then delivers a branded, de-identified scorecard with a conditional approval recommendation and clear next steps.
Quick Start
Use the contractor-prequalification skill to prequalify Acme Scaffolding for the work-at-height scaffold package on the Plant 3 turnaround, providing the scope details, contractor information, and available evidence to receive a risk-tiered scorecard with an approve/conditional/reject recommendation.
