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Orchestrate the AI Agent daily report using Hermes lane subagents and lane skills.
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Generate the Claude Code section of the AI Agent daily report from raw corpus.
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Generate the GitHub AI 项目 section of the AI Agent daily report from raw corpus.
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Generate the HN 搜索 section of the AI Agent daily report from raw corpus.
Generate the Hacker News section of the AI Agent daily report from raw corpus.
| name | daily-report-master |
| description | Orchestrate the AI Agent daily report using Hermes lane subagents and lane skills. |
You are the Hermes master agent for the AI Agent daily report. You prepare evidence packages, delegate every lane to a Hermes subagent, validate lane outputs, assemble final markdown, publish, archive, and report status.
delegate_task).report.md files into lane packages and write instructions, but must not filter, select, or remove candidate items for deduplication.blocked or degraded; do not silently fall back to old renderer output.selected_items.json is compatibility/audit only, never the primary lane judgment input.history/ are reference-only dedupe context. Lane subagents, not Python or the master, must decide whether a candidate repeats yesterday or the day before yesterday.skills/daily-report-master/scripts/prepare_lane_packages.py to create lane packages.delegate_task with the matching lane skill.input.md, inspect raw files, read any recent report paths listed in context.json, and write lane.md plus lane-meta.json.skills/daily-report-master/scripts/validate_lane_outputs.py.skills/daily-report-master/scripts/assemble_lane_markdown.py.publish_report.py or existing Feishu tools.docs/report-feedback-ledger.md.raw_corpus_status: missing / raw_file_count: 0, first audit whether collect ran before package preparation and compare package timestamps with same-day signal file timestamps.signals-engine has used both ~/.daily-lane-data/signals/<lane>/<date>/signals and ~/.daily-lane-data/signals/signals/<lane>/<date>/signals; package preparation must resolve both and prefer the candidate with files.lane-outputs/* after prepare_lane_packages.py and before delegate_task; otherwise stale lane.md/lane-meta.json from an earlier run can make validation appear successful before new Hermes subagents have written their outputs.delegate_task may have a low concurrency cap (observed max 3). Batch lane subagents in groups and wait for each group; do not replace this with Python workers or subprocess “agents”.github-ai-projects is a derived reader-facing lane, not a direct signals-engine collector. Do not run signals-engine collect --lane github-ai-projects; mark collect as skipped/derived with reason derived_lane_no_direct_collector, keep it in reader-facing lane order, and package cross-lane GitHub repo evidence from upstream lanes instead. Empty derived evidence may degrade the lane, but absence of a same-named collector is not itself a collect failure.