Individual skill
atlas-ops-analytical-scorecard
Use when a task delivers a business "scorecard", "reconciliation", "review", "backlog", or "correction" as three files — a prompt, a request-policy JSON (scope, business definitions, rollups, tie-breaks, rounding, status rules), and an answer_template.json — to be computed against an authenticated, read-only SQL workplace/operations database and written as one JSON object to answer.json. Covers eligibility cohorts, "effective/canonical" entity reduction, exact UTC windows, rate/rounding rules, worst/top-N ordering with tie-breaks, ordered status-rule cascades, and single-row canonical corrections with an audit record.
experiments/claude_code_opus_4_8_xhigh/reports/skills/task_group_022/reflect-3/reflect-3_attempt_01/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Last checked
- Nov 6, 2026
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- Oct 29, 2026
- License
- Apache-2.0
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- skills Repository topic
- data Derived category
- operations Derived category
- security Derived category
- data-databases Derived category
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# Operations analytical scorecard & correction tasks
These tasks share one shape: a natural-language prompt points at a **request
payload JSON** (the authoritative policy) and an **answer_template.json** (the
exact output contract), and asks you to compute production results from an
authenticated operations database and write one JSON object to `answer.json`.
They are read-only **analytical** tasks unless the request explicitly asks you
to *apply a correction*. Your answer is graded on exact values and exact
conformance, so precision on definitions, boundaries, rounding, and ordering is
everything.
The environment (base URL, auth, and the available endpoints — schema,
data-dictionary, read-only SQL, and, for correction tasks, a transactional SQL
and correction-audit view) is described in the run's own access file. Read that