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97db037143b5e990af70cfb7cbbd9638a34ca03d
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5 Commits
Author SHA1 Message Date
推理链专家andmultica-agent 97db037143 Add policy analysis report for 2026-08-21 
- Scrape and analyze 5 policies from Aug 16-21 (State Council plenary
  meeting, housing fund regulation revision, special education 15FYP,
  digital RMB expansion, Australia currency swap)
- Sync policy-radar skill files from Multica workspace

Co-authored-by: multica-agent <github@multica.ai>
 2026-08-21 01:15:27 +00:00
推理链专家Claude Opus 4.6multica-agent
 		30af2c87b9 将 policy-radar skill 从 .claude/skills/ 移至 skills/ 顶层目录 
- 删除旧的 skills/policy-radar/（仅有旧版 SKILL.md）
- 删除 .claude/skills/policy-radar/（含 tools/scrapers.py）
- 在 skills/policy-radar/ 重建，包含最新版 SKILL.md + tools/

消除两个重叠路径，统一使用 skills/policy-radar/ 作为 skill 目录。

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
 2026-07-21 08:25:40 +00:00
推理链专家Claude Opus 4.6multica-agent
 		6189f5661e Optimize policy-radar skill: baseline rules, downgrade labels, self-check, branch chains 
Four improvements from report quality audit:
1. Add mandatory baseline scanning step to 4.2 SOP (3-month lookback on first run)
2. Add source downgrade annotation rules for partial/missing original text
3. Embed self-check checklist with placeholders into report template
4. Add branch annotation format for cross-track continuity chains

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
 2026-07-20 06:57:50 +00:00
推理链专家andmultica-agent 6ac8fc04c8 Add policy radar report and consolidate scraping methods 
- Add policy-analysis-2026-07-20.md: 8-policy analysis for Jul 13-20
  covering water protection, consumption expansion, national health,
  TCM revitalization, carbon peak action plan, and PBC monetary policy
- Update skills/policy-radar/SKILL.md: add section 5 with curl+python3
  scraping scripts as fallback when WebSearch/WebFetch are unavailable
- Renumber sections 5→6, 6→7, 7→8, 8→9

Co-authored-by: multica-agent <github@multica.ai>
 2026-07-20 06:22:27 +00:00
推理链专家Claude Opus 4.6multica-agent
 		f72d2ae621 Add policy-radar skill: executable policy analysis SOP based on Li Tie's 4-step method 
A reusable Multica skill that fetches Chinese government policy documents
from official sources (gov.cn, scio.gov.cn, etc.) and applies structured
four-step analysis: read original text → find new additions → classify
policy type → verify continuity → output investment direction report.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: multica-agent <github@multica.ai>
 2026-07-20 05:24:11 +00:00