tiangong-ai/skills

sustainability-summary

Retrieve time-windowed relevant sustainability RSS evidence from the RSS metadata SQLite database and optionally join DOI-keyed enriched content from a separate fulltext SQLite database. Use when generating grounded daily, weekly, monthly, or custom-range digests after relevance labeling.

First seen Feb 11, 2026

Installation

$ npx skills add tiangong-ai/skills --skill sustainability-summary

Summary

sustainability-summary Installation Command Prompt $ npx skills add https://github.com/tiangong-ai/skills --skill sustainability-summary

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 9
License LICENSE
Default branch main
Open issues 3
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,030 B
  • docs SUMMARY.md 319 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 58 installs

SKILL.md

Sustainability Summary

Core Goal

  • Read only relevant (is_relevant=1) records from RSS DB.
  • Build compact RAG context from DOI-keyed entries.
  • Include optional enriched content from separate fulltext DB entry_content when available.
  • Let the agent synthesize final summary text with evidence anchors.

Triggering Conditions

  • Receive requests for daily/weekly/monthly sustainability digests.
  • Receive requests for custom date-range summaries.
  • Need evidence-grounded output from labeled RSS entries and enriched content.

Input Requirements

  • Required tables: feeds, entries (from sustainability-rss-fetch).
  • entries must be DOI-keyed and relevance-labeled.
  • Optional fulltext DB table: entry_content (from sustainability-fulltext-fetch).
  • RSS DB and fulltext DB must be different files.

Workflow

  1. Build retrieval context by time window.
export SUSTAIN_RSS_DB_PATH="/absolute/path/to/workspace-rss-bot/sustainability_rss.db"
export SUSTAIN_FULLTEXT_DB_PATH="/absolute/path/to/workspace-rss-bot/sustainability_fulltext.db"

python3 scripts/time_report.py \
  --rss-db "$SUSTAIN_RSS_DB_PATH" \
  --content-db "$SUSTAIN_FULLTEXT_DB_PATH" \
  --period weekly \
  --date 2026-02-10 \
  --max-records 120 \
  --max-per-feed 20 \
  --summary-chars 8192 \
  --fulltext-chars 8192 \
  --pretty \
  --output /tmp/sustainability-weekly-context.json
  1. Generate final summary from returned records + aggregates.
  1. Cite evidence using DOI + URL for key claims.

Time Window Modes

  • --period daily --date YYYY-MM-DD
  • --period weekly --date YYYY-MM-DD
  • --period monthly --date YYYY-MM-DD
  • --period custom --start ... --end ...

Default Fields

  • doi,timestamputc,timestampsource,feedtitle,feedurl,title,url,summary,fulltextstatus,fulltextlength,fulltext_excerpt

Configurable Parameters

  • --rss-db
  • --content-db
  • SUSTAINRSSDB_PATH
  • SUSTAINFULLTEXTDB_PATH
  • --period
  • --date
  • --start
  • --end
  • --max-records
  • --max-per-feed
  • --summary-chars
  • --fulltext-chars
  • --top-feeds
  • --top-keywords
  • --fields
  • --output
  • --pretty
  • --fail-on-empty

Error Handling

  • Missing required DOI-based tables: fail fast with setup guidance.
  • RSS DB and fulltext DB path collision: fail fast and require separate files.
  • Invalid date/time/field list: return parse errors.
  • Missing entry_content: continue in metadata-only mode.
  • Empty relevant set: return empty context; optional failure with --fail-on-empty.

References

  • references/time-window-rules.md
  • references/report-format.md

Assets

  • assets/config.example.json

Scripts

  • scripts/time_report.py