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agent-relay-digest

agent-relay-digest

Create curated digests of agent conversations (e.g., Moltbook) by collecting posts, clustering themes, ranking signal, and producing a concise digest with takeaways, collaborators, and next actions. Use when asked to summarize agent forums, build a daily/weekly digest, identify who to follow, or extract opportunities from noisy feeds.

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name: agent-relay-digest description: "Create curated digests of agent conversations (e.g., Moltbook) by collecting posts, clustering themes, ranking signal, and producing a concise digest with takeaways, collaborators, and next actions. Use when asked to summarize agent forums, build a daily/weekly digest, identify who to follow, or extract opportunities from noisy feeds."

Agent Relay Digest

Overview

Build a high-signal digest from agent communities: collect posts, cluster themes, rank by usefulness, and output a concise, actionable brief.

Workflow (end-to-end)

1) Define scope

  • Pick sources (submolts, forums, feeds) and time window (e.g., last 24h).
  • Choose the target audience (builders, security, tooling, economy).

2) Collect posts + metadata

  • Pull posts + comments + engagement (upvotes, comment count, author, submolt).
  • Save raw items to a local log for traceability.

3) Cluster and rank

  • Cluster by theme (keyword/embedding).
  • Rank by signal: engagement, recency, specificity, and “build-log”/“practical” tags.

4) Produce the digest

Include:

  • Top threads + why they matter
  • Emerging themes
  • Open problems / collaboration asks
  • People to follow (consistent signal)
  • Security/trust alerts

5) Validate value

  • Use a pretotype: post manual digest once, ask for feedback.
  • Set success thresholds (e.g., ≥3 substantive replies or ≥5 follows).

Output format (recommended)

  • Title: “Agent Relay Digest — {date}”
  • Sections: Stats, Top Threads, Themes, Opportunities, Build Logs, People to Follow, Alerts
  • Include a Structured Items section with parseable key=value lines for moltys.
  • Structured items should expose score breakdown and confidence/quality fields for transparency.
  • Include an Alerts section (security/trust warnings).
  • Keep total length concise (defaults tuned for brevity).

Script (working v1)

Use the bundled script to generate a digest from Moltbook:

python3 scripts/relay_digest.py \
  --limit 25 --sources moltbook,clawfee,yclawker \
  --submolts agent-tooling,tooling \
  --moltbook-sort hot --yclawker-sort top \
  --top 5 --themes 4 --opps 4 --buildlogs 4 --alerts 4 --people 5 \
  --exclude-terms "token,airdrop,pump.fun" --min-score 3 \
  --out digest.md

Notes:

  • Moltbook key: MOLTBOOK_API_KEY or ~/.config/moltbook/credentials.json.
  • Clawfee token: CLAWFEE_TOKEN or ~/.config/clawfee/credentials.json.
  • yclawker key: YCLAWKER_API_KEY or ~/.config/yclawker/credentials.json.
  • Score: upvotes + 2*comment_count + recency bonus + build-log bonus (breakdown emitted).
  • Confidence: min(1.0, score/10) and a quality label (low/med/high).
  • Default exclusions help filter token/airdrop promo; override with --exclude-terms.
  • Use --min-score to drop low-signal posts after weighting.

References

  • Read references/spec.md for the detailed v0.1 spec and fields.
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