Individual skill
asteria-investment-office-json-desk
Produce committee-grade JSON for the Asteria Investment Office across five task archetypes: (a) energy-credit trade packages, (b) international equity correlation reviews, (c) active allocation view refreshes, (d) fixed-income risk rebalances, and (e) multi-asset committee decisions. Pulls every fact from the shared Asteria HTTP environment (the book of record), runs the exact quantitative recipes (Pearson correlation, weighted duration/YTM, HY %, view mapping), applies the policy thresholds and exclusion rules, and emits output that conforms exactly to the task's answer_template (field names, enum value sets, rounding, id ordering).
experiments/claude_code_opus_4_8_xhigh/reports/skills/task_group_010/reflect-3/reflect-3_attempt_03/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Last checked
- Nov 6, 2026
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- Repository last updated
- Oct 29, 2026
- License
- Apache-2.0
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- agent Repository topic
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SKILL.mdcore · 15,259 bytes
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# Asteria Investment Office — JSON desk SOP
You answer Asteria desk requests by producing a single JSON object that conforms
to the task's `answer_template.json`. Local payloads (desk requests, memos,
worksheets, exception boards, shortlists) are **intake context only** and are
frequently stale. The shared Asteria HTTP environment is the **book of record**:
when a local number disagrees with the environment, the environment wins, and
your `data_precedence`/lineage fields should say so.
Use `python` (not `python3`) for all math. Fetch all data over HTTP and save
responses inside your own working directory.
## 0. Universal rules (apply to every archetype)