operator-scorecard

${var} — Mode selector. The first token picks the branch; the remainder is branch-specific.

• empty → operator scorecard (default): synthesize the week into agent health + community growth + economic activity with a worst-of-three OK/WATCH/DEGRADED verdict. Also accepts dry-run (skip the notification — article + JSON spec still write) and/or an integer N to override the window in hours (default 168 = 7d, cap 720). Examples: `` , dry-run, 336, dry-run 336.
• ops → ops recap: operational summary of one day — what shipped, what failed, what needs follow-up. Optional date override after the keyword (ops 2026-06-30 or ops:2026-06-30); empty date = today (UTC).
• push → push recap: deep-dive recap of all pushes — reads diffs, ranks impact, separates user-visible shipments from internal work, delivers a verdict. Optional repo scope after the keyword (push aeonfun/aeon or push:owner/repo); empty = all watched repos.

Overview

One skill, three recap views over Aeon's own activity. They share a preamble (read memory, compute the date, parse the selector) then branch into fully distinct logic — do not blend them:

• scorecard (default): a synthesis-only weekly rollup. Every number it prints is sourced from a file another skill already wrote (skill-health's analytics view, heartbeat, tweet-allocator, repo-pulse). Three paragraphs — agent health / community growth / economic activity — each with its own verdict, rolled up to a worst-of-three overall verdict. Answers the operator-level question: given everything that happened, was this week worth it?
• ops (ops): an operational day-recap. Reads today's activity log + memory/cron-state.json + the issues index, deduplicates repeat runs, demands a URL on every shipped item, surfaces the calls that need a human, and leads with a one-sentence TL;DR verdict. Never a log dump.
• push (push): a diff-reading push deep-dive. Fetches push events, commits, and merged PRs per watched repo, reads the diffs, classifies each commit user-visible vs internal vs infra, ranks by impact, and leads with a one-line verdict — with significance gating so quiet days send nothing.

Shared preamble (run for every branch)

1. Read memory/MEMORY.md for high-level context and scan the last ~3 days of memory/logs/ for recent activity — drop anything already reported so you don't re-report the same signal.
2. Compute ${today} (UTC date, YYYY-MM-DD).
3. Parse ${var} → branch + branch argument (trim whitespace first). Let FIRST be the lowercase first token (split on the first whitespace or :), REST the remainder:
   • FIRST == "ops" → BRANCH=ops, ARG=REST (a date override, or empty).
   • FIRST == "push" → BRANCH=push, ARG=REST (an owner/repo scope, or empty).
   • anything else (empty, dry-run, a bare integer, or an unrecognized token) → BRANCH=scorecard; pass the whole ${var} through to the scorecard branch's own grammar (dry-run prefix + optional integer window).
4. Dispatch: run the matching branch below. Only that branch executes.

---

Scorecard branch (default — empty / dry-run / integer window)

Today is ${today}. Synthesize the last 7 days of agent activity into a single plain-language scorecard the operator can read in 30 seconds. Three paragraphs (agent health / community growth / economic activity) plus a one-line verdict (OK / WATCH / DEGRADED). The point of this branch is to answer the question every operator quietly asks after a week of autonomous runs: was this week worth it?

Why this exists

Every signal needed to answer that question already lives in the repo — skill-health's analytics view ranks pass rates, heartbeat issues per-run verdicts, tweet-allocator totals weekly $AEON spend, repo-pulse records star/fork deltas. But each lives in its own article, on its own cadence, in its own format. A new operator (or a returning one) opens four files to assemble the weekly picture. This branch assembles it once on Monday morning and pushes it to the notification channel so the picture is delivered, not fetched.

It is deliberately a synthesis view, not a measurement view — every number it prints is sourced from a file another skill already wrote. It introduces zero new APIs, zero new secrets, zero new cron-state. If an upstream skill didn't run, the matching paragraph degrades gracefully ("no data this week") rather than fabricating numbers.

Config

No new config. No new secrets. Reads:

• output/articles/skill-analytics-*.md — most recent file in window for fleet pass rate + anomaly count (written by skill-health's analytics view — the former skill-analytics skill, now the analytics view of skill-health)
• output/articles/heartbeat-*.md (or memory/logs/*.md heartbeat sections) — P0–P3 verdict tally
• output/articles/tweet-allocator-*.md — weekly distributed totals + recipient counts
• output/articles/repo-pulse-*.md — daily star/fork delta entries summed across the window
• memory/MEMORY.md — last consolidation date + "Skills Built" recent rows for the activity-pulse line
• memory/issues/INDEX.md (optional) — open issue count if present

No outbound HTTP. No gh api calls. Pure file scanning + arithmetic.

Steps

1. Parse var and resolve window

• If ${var} matches ^dry-run → MODE=dry-run. Strip the prefix; remainder treated as window override.
• Otherwise MODE=execute.
• If the remaining var parses as a positive integer N → WINDOW_HOURS=N and WINDOW_DAYS=$((N / 24)) (round down). Cap at 720h (30 days).
• Otherwise WINDOW_HOURS=168, WINDOW_DAYS=7.
• Compute WINDOW_START_DATE = today minus WINDOW_DAYS days (UTC, ISO date).

2. Collect agent-health signals

a. Latest analytics article. LATEST_ANALYTICS=$(ls -1t output/articles/skill-analytics-*.md 2>/dev/null | head -1). If found AND its date suffix is within the window → parse the metadata line *Window: ... · N runs across M skills · X% success · Y anomalies* for total_runs, distinct_skills, success_pct, anomaly_count. If not found (skill-health's analytics view didn't run this window): set all four to null and mark agent_health_source=missing.

b. Heartbeat verdicts. For every heartbeat run logged in the window, scan memory/logs/YYYY-MM-DD.md between WINDOW_START_DATE and today for ## Heartbeat sections. Count occurrences of: P0 / P1 / P2 / P3 / OK markers. The simplest first-match wins per heartbeat block: an OK block (no P-flags) increments heartbeat_ok; any P-flag increments the matching heartbeat_pX counter and skips the OK count. If no heartbeat sections found, set counts to zero and mark agent_health_source=partial.

c. Open issues. If memory/issues/INDEX.md exists and contains an ## Open section with table rows, count rows. Otherwise open_issues=0 and issues_source=absent.

d. Compute health verdict (paragraph 1):

• OK if success_pct >= 90 AND anomaly_count <= 1 AND heartbeat_p0 == 0 AND heartbeat_p1 == 0
• WATCH if success_pct >= 75 AND heartbeat_p0 == 0 AND (anomaly_count <= 3 OR heartbeat_p1 <= 2)
• DEGRADED otherwise
• If agent_health_source=missing: emit INSUFFICIENT_DATA for this paragraph's verdict (don't pretend OK)

3. Collect community-growth signals

a. Stars + forks delta. Sum every output/articles/repo-pulse-*.md file with date suffix in window. From each, extract the New stars (24h) count and New forks (24h) count for each watched repo. Aggregate per-repo totals across the window. The aeonfun/aeon row is the headline; other repos go on a continuation line.

If the file format doesn't contain the canonical fields, fall back to scanning memory/logs/*.md for ## Repo Pulse blocks (older format). If both fail for a given repo: stars_added=null, mark growth_source=partial.

b. New contributors. Count first-time merged-PR authors in the window from the GitHub search API — search/issues?q=repo:<repo>+is:pr+is:merged+merged:<start>..<end> (via gh api in write mode, or WebFetch https://api.github.com/search/issues?... in read-only). For each unique non-bot author, a prior-PR check (…+author:<login>+merged:<<start> → total_count == 0) marks them new; new_contributors = that count. If the GitHub API is unavailable: new_contributors=null.

c. Notable mentions. Scan output/articles/repo-article-*.md and output/articles/project-lens-*.md filenames in window for any title containing milestones-language (regex (milestone|launch|hit \d+|featured|HN|Show HN|Hacker News)). If found, capture up to 2 titles for the Notable line. Otherwise omit.

d. Compute growth verdict (paragraph 2):

• OK if total_stars_added >= 20 OR new_contributors >= 1 (a real signal of community pull)
• WATCH if total_stars_added >= 5
• DEGRADED if total_stars_added < 5 AND new_contributors == 0 AND no notable mentions

4. Collect economic-activity signals

a. $AEON distributed. Sum every output/articles/tweet-allocator-*.md in the window: extract the Total distributed: $X.XX in $AEON line. Track the count of Paid tweets: recipients across the window (deduped by handle).

If output/articles/distribute-tokens-*.md exists in the window, also tally any explicit on-chain payouts there. Report both as $AEON distributed: $X.XX (Y recipients via tweet-allocator + Z via distribute-tokens).

b. Compute economic verdict (paragraph 3):

• OK if total_distributed > 0
• DEGRADED if total_distributed == 0 (week with $0 spend on community = silent loop)

5. Roll up to the overall verdict

• Take the worst of the three paragraph verdicts. DEGRADED > WATCH > OK.
• INSUFFICIENT_DATA paragraphs do not force the overall verdict to DEGRADED — they degrade to WATCH (so a partial-data week still flags as worth checking, not ignored).
• The verdict line uses the same vocabulary as heartbeat's P-flags for visual continuity: 🟢 OK / 🟡 WATCH / 🔴 DEGRADED.

6. Build the article

Path: output/articles/operator-scorecard-${today}.md. Overwrite if exists (idempotent same-day reruns).

# Operator Scorecard — ${today}

**Verdict:** ${verdict_emoji} ${verdict_label} — ${one_line_summary}

*Window: last ${WINDOW_DAYS}d (${WINDOW_START_DATE} → ${today})*

## Agent health

The fleet ran ${total_runs} times across ${distinct_skills} skills with a ${success_pct}% success rate. ${anomaly_count} anomaly flag(s) raised this week. Heartbeat issued ${heartbeat_ok} clean reports and ${heartbeat_p0+p1+p2+p3} flagged reports (P0=${heartbeat_p0} P1=${heartbeat_p1} P2=${heartbeat_p2} P3=${heartbeat_p3}). ${open_issues} open issue(s) in the tracker.

**Verdict:** ${health_verdict}

## Community growth

${watched_repo_1} added ${stars_1} stars and ${forks_1} forks. ${watched_repo_2} added ${stars_2} stars and ${forks_2} forks. ${total_stars_added} stars across the fleet — averaging ${stars_per_day} per day. ${new_contributors} new contributor(s) appeared on the leaderboard. ${notable_line_or_omit}

**Verdict:** ${growth_verdict}

## Economic activity

$AEON distributed: $${total_distributed} across ${recipient_count} recipient(s) via tweet-allocator${distribute_tokens_addendum_or_omit}.

**Verdict:** ${economic_verdict}

## What was notable

${bullet list of up to 3 entries from MEMORY.md "Skills Built" rows where date is in window — keeps the week's autonomous accomplishments visible}

## Source status

- skill-health (analytics): ${article_path or "missing this window"}
- heartbeat: ${N runs found in memory/logs}
- repo-pulse: ${N daily articles in window}
- tweet-allocator: ${N daily articles in window} · total: $${total_distributed}
- new-contributors: ${new_contributors or "GitHub API unavailable"}

---
*Companion to `skill-health`'s analytics view (per-skill ranking) and heartbeat (per-run pulse). This branch answers the operator-level question those two don't: "given everything that happened, was this week worth it?" Methodology: every number is sourced from another skill's article — this branch measures nothing itself.*

The "What was notable" section reads memory/MEMORY.md for rows in the ## Skills Built table where the Date column falls in the window. List up to 3, formatted as - {Skill} — {one-line summary truncated to ~120 chars}. If zero new skills built this week, write - No new skills built this week — agent ran on the existing fleet.

7. Write the dashboard JSON spec

Path: apps/dashboard/outputs/operator-scorecard.json. Use the catalog components.

{
  "version": "1",
  "generated_at": "${ISO timestamp}",
  "skill": "operator-scorecard",
  "title": "Operator Scorecard — ${today}",
  "spec": {
    "type": "Stack",
    "props": {"direction": "vertical", "gap": "md"},
    "children": [
      {"type": "Heading", "props": {"level": 2, "children": "Operator Scorecard — ${today}"}},
      {"type": "Alert", "props": {"variant": "${alert_variant}", "children": "${verdict_label} — ${one_line_summary}"}},
      {"type": "Grid", "props": {"columns": 3, "gap": "sm"}, "children": [
        {"type": "Card", "props": {"children": [
          {"type": "Text", "props": {"variant": "muted", "children": "Agent health"}},
          {"type": "Heading", "props": {"level": 3, "children": "${success_pct}%"}},
          {"type": "Text", "props": {"children": "${total_runs} runs · ${anomaly_count} anomalies"}}
        ]}},
        {"type": "Card", "props": {"children": [
          {"type": "Text", "props": {"variant": "muted", "children": "Stars added"}},
          {"type": "Heading", "props": {"level": 3, "children": "+${total_stars_added}"}},
          {"type": "Text", "props": {"children": "${total_forks_added} forks · ${new_contributors} new contributors"}}
        ]}},
        {"type": "Card", "props": {"children": [
          {"type": "Text", "props": {"variant": "muted", "children": "$AEON distributed"}},
          {"type": "Heading", "props": {"level": 3, "children": "$${total_distributed}"}},
          {"type": "Text", "props": {"children": "${recipient_count} recipients · token ${token_7d_pct}% 7d"}}
        ]}}
      ]},
      {"type": "Heading", "props": {"level": 3, "children": "Verdicts by lane"}},
      {"type": "Table", "props": {
        "columns": [
          {"key": "lane", "header": "Lane"},
          {"key": "verdict", "header": "Verdict"},
          {"key": "headline", "header": "Headline"}
        ],
        "rows": [
          {"lane": "Agent health", "verdict": "${health_verdict}", "headline": "${health_headline}"},
          {"lane": "Community growth", "verdict": "${growth_verdict}", "headline": "${growth_headline}"},
          {"lane": "Economic activity", "verdict": "${economic_verdict}", "headline": "${economic_headline}"}
        ]
      }}
    ]
  }
}

alert_variant: default for OK, secondary for WATCH, destructive for DEGRADED.

If the file write fails (filesystem read-only, missing directory), log a warning but do not abort — the article is the canonical artifact, the JSON spec is a dashboard convenience.

8. Send notification

If MODE == dry-run: skip notify, log OPERATOR_SCORECARD_DRY_RUN, exit.

Otherwise call ./notify:

*Operator Scorecard — ${today}*
${verdict_emoji} ${verdict_label} — ${one_line_summary}

Agent health: ${success_pct}% across ${total_runs} runs (${anomaly_count} anomalies, ${heartbeat_ok} clean heartbeats)

Community growth: +${total_stars_added}⭐ +${total_forks_added} forks across ${repo_count} repos${new_contributor_addendum}

Economic activity: $${total_distributed} in $AEON to ${recipient_count} recipients · token ${token_7d_pct}% 7d (${token_verdict})

${notable_addendum_or_omit}

Window: last ${WINDOW_DAYS}d
Full: output/articles/operator-scorecard-${today}.md

notable_addendum: if any "What was notable" bullet exists, prefix with Notable: and inline the first one only (cap at ~120 chars). If none, omit the line.

Keep it tight for signal — the verdict + three lane lines are the priority; drop "Notable" first if it runs long. (./notify auto-chunks, so length is about signal, not transport.)

9. Log to memory/logs/${today}.md

Append under the shared ### operator-scorecard heading (see the Log section) with a branch: scorecard discriminator, then:

### operator-scorecard
- branch: scorecard
- **Window**: last ${WINDOW_DAYS}d (${WINDOW_HOURS}h)
- **Verdict**: ${verdict_emoji} ${verdict_label}
- **Agent health**: ${success_pct}% success across ${total_runs} runs · ${anomaly_count} anomalies · ${heartbeat_p0+p1} flagged heartbeats · ${open_issues} open issues
- **Community growth**: +${total_stars_added}⭐ +${total_forks_added} forks · ${new_contributors} new contributors
- **Economic activity**: $${total_distributed} in $AEON to ${recipient_count} recipients · token ${token_7d_pct}% 7d (${token_verdict})
- **Article**: output/articles/operator-scorecard-${today}.md
- **Dashboard**: apps/dashboard/outputs/operator-scorecard.json
- **Notification sent**: ${yes|no — dry-run|no — INSUFFICIENT_DATA}
- **Status**: OPERATOR_SCORECARD_OK | OPERATOR_SCORECARD_QUIET | OPERATOR_SCORECARD_NO_DATA

Scorecard exit taxonomy

Status	Meaning	Notify?
OPERATOR_SCORECARD_OK	scorecard rendered, ≥1 lane has data	Yes
OPERATOR_SCORECARD_QUIET	dry-run mode	No (article + JSON written, log only)
OPERATOR_SCORECARD_NO_DATA	every lane returned INSUFFICIENT_DATA (fresh fork, never ran any upstream skill)	No (log only, no article overwrite)

Scorecard constraints

• Synthesis-only. Every number prints from a file another skill wrote. If a source file is missing, the matching lane reports INSUFFICIENT_DATA and the branch continues — never fabricate numbers to fill a gap.
• Three-paragraph contract. Agent health, community growth, economic activity. In that order. Adding a fourth lane is a separate skill, not a scope creep here.
• No issue filing. Anomalies surface in the verdict; persistence and resolution belong to skill-health. This branch is read-only across memory/issues/.
• Worst-of-three rollup. The overall verdict mirrors heartbeat's P-flag vocabulary so operators don't need to learn new terminology.
• Idempotent. Same-day reruns overwrite the article and JSON spec. The log entry appends (one block per run) so re-running shows drift.
• Dry-run honored. dry-run never sends a notification — but the article and JSON spec still write, because the dashboard widget refreshes regardless. The dry-run gate is for the operator's inbox, not the artifacts.
• Window override is a power-user knob. Default 7d is the contract; passing 336 for a 14d retrospective is supported but not advertised in headlines.

---

Ops branch (ops)

Operational summary of one day — what Aeon shipped, what failed, what needs follow-up. The recap is not a log dump — the operator can read the log themselves. Its job is to deliver a verdict on the shape of the day and surface the calls that need a human. Lead with a one-sentence TL;DR; cap headlines; demand a URL on every shipped item; and never print empty sections.

Read memory/MEMORY.md for context and memory/issues/INDEX.md for open issues (both already loaded in the shared preamble — re-read the issues index here if not yet parsed).

Steps

1. Determine the date. ARG from the selector is the optional date override.

   TODAY=${ARG:-$(date -u +%Y-%m-%d)}
   

2. Read today's activity log. Open memory/logs/${TODAY}.md.

   • Treat both ## and ### as skill-entry headers (existing logs use both styles — ### autoresearch, ## Changelog Skill). Capture each heading text as the skill name and the body until the next heading.
   • If the file is missing or whitespace-only, mark log=missing and continue to step 3 — silent failures may still need reporting before exiting.

3. Cross-check memory/cron-state.json for silent failures. Load it as JSON. For each skill present:

   • consecutive_failures ≥ 1 and last_status != "success" → silent failure (force into Blockers regardless of log content).
   • last_success date == TODAY but no log entry for that skill → "ran without logging" (low-severity Blocker).
   • If the file is missing or unparseable, record cron-state=unavailable and skip the cross-check (do not abort).

4. Deduplicate repeat runs. If the same skill appears N>1 times in the log, fold into one entry labeled skill ×N. Keep the most informative run's headline (the one with a PR/URL or the longest body); collapse the rest to +K more.

5. Extract every artifact link. For each entry, capture every URL or file path in the body (PR link, run URL, output/articles/... path, apps/dashboard/outputs/... path, ISS-NNN reference). An entry with no concrete artifact is "talk, not ship" — demote it to the Notable tier.

6. Score and tier each entry on leverage. What matters for tomorrow's decisions:

   • Headlines (top tier, cap 5): new PR opened, change merged, new article shipped, issue resolved or newly filed, new failure pattern.
   • Notable (mid tier, cap 5): routine successful runs, repeat outputs, expected cron firings, talk-not-ship entries.
   • Skip: pure noise (heartbeat OK with nothing flagged, dedup-only runs, "no new items" reports). Collapse to a count for the footer.

7. Identify decisions for tomorrow. Re-scan the day for items that need a human call:

   • Failing skills past their retry budget (cron-state consecutive_failures ≥ 2).
   • PRs awaiting merge for >24h (use gh pr list --state open --json number,title,url,createdAt if gh is available; skip if not).
   • Open issues from memory/issues/INDEX.md mentioned in today's log without resolution.
   • Conflicting outputs across skills. List as concrete asks naming the target ("merge PR #N", "decide whether ISS-007 is wontfix"). If none, omit the section.

8. Write the TL;DR last. After steps 2–7, write one sentence that takes a stance on the shape of the day. Examples:

   • "heavy ship day — 5 evolution PRs filed and 0 failures"
   • "quiet — only crons fired, nothing shipped"
   • "two regressions opened, one resolved; net negative"
   • "first failure of fetch-tweets in a week — investigate before tomorrow's run" No hedging, no "today saw...", no "various activity occurred".

9. Compose and send the recap via ./notify.

   *Ops Recap — ${TODAY}*
   _TL;DR: <one-sentence verdict from step 8>_
   
   *Headlines:*
   - [skill] — [one-line outcome] · <URL>
   - ...
   
   *Notable:*  (omit section if empty)
   - [skill ×N] — [one-line]
   - ...
   
   *Decisions for tomorrow:*  (omit if empty)
   - [specific ask, named target]
   
   *Blockers:*  (omit if empty)
   - [skill] — [error in ≤8 words] · <run URL if available>
   
   _+M routine runs collapsed · sources: log=[ok|missing|empty] cron-state=[ok|unavailable]_
   

   Hard rules:

   • ≤2000 chars total.
   • Every Headline bullet must include a URL. No URL → demote to Notable.
   • TL;DR is mandatory and must take a stance.
   • Never print "none" or "clean" — omit the section instead.
   • Always include the source-health footer line so future-you can debug "why was this recap empty".
   • Lead with shipped artifacts, not skills attempted.
   • Empty-day exit: if log=missing AND no silent failures AND no decisions, send a single line *Ops Recap — ${TODAY}*: quiet day, no activity recorded · sources: log=missing cron-state=ok and stop.