Skills Rulebase

Rulebase QA coverage audit

Audits a Rulebase workspace for the two failure modes that make a QA programme look healthy while producing nothing usable: coverage blind spots (whole segments never evaluated) and instrument failure (scores that don't discriminate or predict anything).

RulebaseProductAny helpdeskRead-only
Installnpx rulebase-skills install rulebase-qa-coverage-audit

When to use it

Reach for this when someone says any of these — they are the phrases the skill itself triggers on:

  • audit our QA coverage
  • which agents or channels aren't being evaluated
  • are our QA scores meaningful
  • is our scorecard working

How it works

The method, in the order the skill runs it. The full procedure — tables, worked examples and the edge cases — is in the skill itself.

  1. Step 0: Introspect before querying

    Do not assume tool signatures or field names. They change between workspace versions and differ by plan. Start every run by discovering the actual shape: get_current_organization, get_workspace_schema, list_scorecards.

  2. Step 1: Coverage

    The question is not "how many evaluations did we do" but "what did we never look at".

  3. Step 2: Statistical power per agent

    Coverage percentages hide the problem that matters for anyone using these scores to coach or rank. For each agent and period, get the evaluation count n, then report the confidence interval on their score.

  4. Step 3: Distribution health

    Pull the score distribution overall and per scorecard: count, mean, standard deviation, p25, p50, p75.

  5. Step 4: Criterion health

    For each criterion on each scorecard, compute the fail rate.

  6. Step 5: Outcome linkage

    The test of whether the scorecard measures quality: does it relate to anything the business cares about? Aggregate to agent-period level first — conversation-level correlations are dominated by noise.

  7. Step 6: Coaching loop closure

    Coverage is worthless if nothing follows from it. Using list_coaching_sessions and the evaluation records: What share of low-scoring evaluations led to a coaching session?.

Related skills

Free and open source, and vendor-neutral — it reads the conversations from whichever helpdesk you already run. Browse all 149 skills · connect your helpdesk over MCP · source on GitHub

Review every conversation. Act on what it finds.

AI for customer operations, built for financial services. Specialist agents chase every issue to resolution and every stalled customer to activation.

Rulebase dashboard