fork-fleet

${var} — Divergence scope selector; space-separated tokens, order-independent, all optional:

• scope (code | config | both, default both) — which divergence dimension to run.
• repo=owner/name — override the parent repo whose forks are scanned (else auto-resolved).
• fork=owner/name — drill into a single fork (forces code scope; config math needs a fleet).

Empty ⇒ both dimensions over the auto-resolved parent. Examples: `` (both, all forks) · code · config · config repo=octo/aeon · fork=alice/aeon.

Today is ${today}. This is the fleet's divergence monitor. It answers two questions the popularity/liveness skills don't:

1. Code divergence — which active forks are building real work (unique commits, new/modified skills) that's worth pulling back upstream?
2. Config divergence — where does the configured fleet systematically disagree with upstream's enabled / var / model / schedule defaults, so the operator can flip a default the fleet has already voted on?

skill-gap ranks what's popular (top 15 by enabled count). This skill's code branch surfaces per-fork unique work; its config branch surfaces where operators disagree with defaults. If 6 of 8 configured forks enable a skill upstream defaults off, upstream is shipping the wrong default; if 5 of 8 disable a skill upstream defaults on, that skill is noise. Both are peer-learning signals.

Operating principles

• Verdict first, catalog second. The operator reads one line and knows if action is needed.
• Silent when nothing changed. Weekly cadence + a dormant/undivergent fleet = a read-once habit to kill. A clean run notifies nothing.
• Per-fork compare is one call, not three. /compare/{owner}:main...{fork_owner}:main returns ahead/behind/unique commits/files in a single round-trip; the recursive git-tree returns the fork's whole file list in one call.
• Substance ≠ noise. A new skills/*/SKILL.md is worth 100 cron-time edits in aeon.yml. Score accordingly. On the config side, an untouched template fork is not a "vote" — exclude it from divergence math.

Shared setup (all scopes)

S0. Bootstrap + load state

mkdir -p memory/topics
[ -f memory/instances.json ] || echo '{}' > memory/instances.json
[ -f memory/topics/fork-fleet-state.json ] || echo '{"forks":{},"last_run":null}' > memory/topics/fork-fleet-state.json
[ -f memory/topics/fork-digest-state.json ] || echo '{"last_run":null}' > memory/topics/fork-digest-state.json

Read memory/MEMORY.md for high-level context and scan the last ~3 days of memory/logs/ — drop anything already reported so a weekly signal isn't re-sent.

• Read memory/instances.json → the set of repo full_names that are managed instances (tagged separately from organic community forks in the report).
• Read memory/topics/fork-fleet-state.json → prior run's per-fork {pushed_at, ahead_by, default_branch, new_skill_count} keyed by full_name. Used for the code what-changed delta.
• Read memory/topics/fork-digest-state.json → prior config-divergence snapshot (schema in step B8). Used for the config week-over-week delta.

S1. Parse the scope selector

Parse ${var} into tokens:

• SCOPE = code, config, or both (default both if no scope keyword present).
• REPO_OVERRIDE = value of a repo=owner/name token, if any.
• SINGLE_FORK = value of a fork=owner/name token, if any. If SINGLE_FORK is set, force SCOPE=code (single-fork config divergence is meaningless — the config math needs a fleet of ≥2 configured forks).

S2. Resolve the parent/target repo

Resolve PARENT_REPO in priority order:

1. REPO_OVERRIDE if the repo= token was given.
2. Else auto-resolve from this running instance:

   PARENT_REPO=$(gh api repos/$(gh repo view --json nameWithOwner -q .nameWithOwner) --jq '.parent.full_name // .full_name')
   

3. Else fall back to the first non-comment, non-empty line of memory/watched-repos.md.

If none resolves, write status FORK_DIVERGENCE_NO_TARGET to memory/logs/${today}.md and stop (no notification).

PARENT_NAME="${PARENT_REPO##*/}"
PARENT_OWNER="${PARENT_REPO%%/*}"
PARENT_DEFAULT_BRANCH=$(gh api "repos/${PARENT_REPO}" --jq '.default_branch')

S3. List + classify forks (single call, shared by both branches)

One paginated listing — includes default_branch, archived, disabled, pushed_at, stars, description:

gh api "repos/${PARENT_REPO}/forks" --paginate \
  --jq '[.[] | {full_name, owner: .owner.login, default_branch, pushed_at, pushed_at_epoch: (.pushed_at | fromdateiso8601), stargazers_count, open_issues_count, archived, disabled, description}]'

Skip archived=true or disabled=true. Retain the rest as the total fork population (N_TOTAL). Classify by activity window:

• Active = pushed_at within last 30 days.
• Stale = 30–365 days.
• Dormant = >365 days or never pushed after creation.

The Active set (pushed in the last 30 days) is the shared working set for both branches — this matches the config branch's original 30-day cutoff exactly.

• If SINGLE_FORK is set: filter to that one fork, treat it as active, and skip the classification math.
• If zero active forks (and SINGLE_FORK unset): both branches short-circuit. If there is also no code-side state change (no new forks, none flipped active↔stale vs prior fork-fleet-state.json), write status FORK_DIVERGENCE_QUIET to the log, update the state files' last_run, send no notification, and stop.

Cap active-fork deep processing at 50 per run — if more, rank by pushed_at_epoch desc and trim (log truncated_at=50).

Now dispatch: run Branch A if SCOPE ∈ {code, both}, Branch B if SCOPE ∈ {config, both}.

Branch A — Code divergence (runs when SCOPE ∈ {code, both})

A1. Per-fork compare (one call each)

For each active fork, call cross-repo compare using the fork's own default_branch and full_name (absorbs any repo-rename drift):

gh api "repos/${PARENT_REPO}/compare/${PARENT_OWNER}:${PARENT_DEFAULT_BRANCH}...${FORK_OWNER}:${FORK_DEFAULT_BRANCH}" \
  --jq '{ahead_by, behind_by, status, files: [.files[]? | {filename, status, additions, deletions}], commits: [.commits[]? | {sha: .sha[0:7], msg: .commit.message | split("\n")[0], author: .commit.author.name, date: .commit.author.date}]}'

On 404 (branch missing / fork emptied): mark fork UNREADABLE and continue. On 429: sleep 60s, retry once. On 5xx: sleep 10s, retry once. On persistent fail: mark API_FAIL for that fork.

Cross-repo compare returns unique fork commits (commits) and changed files (up to 300) in one shot — no separate /commits calls needed.

A2. Classify divergence signals per fork

From the files array, tag each fork:

• New skills: files with status=added under skills/*/SKILL.md
• Modified skills: status=modified under skills/*/SKILL.md
• Custom schedule: any change to aeon.yml
• Modified dashboard: any change under apps/dashboard/
• Custom notify: change to notify or notify-jsonrender
• New content: additions under output/articles/ or memory/topics/
• Config changes: changes to CLAUDE.md, .github/, bin/, or root scripts/
• Workflow changes: changes under .github/workflows/

A3. Score each fork (substance-weighted)

score =  10 × (new skill files)
       +  4 × (modified skill files)
       +  2 × min(unique_commits, 15)
       +  3 × (new content files, capped at 5)
       +  2 × (workflow/config files, capped at 3)
       +  1 × (custom-schedule flag)
       +  1 × stargazers

Sort active forks by score descending. Flag any fork with ≥1 new skill file as a PROMOTE candidate; ≥3 unique commits OR ≥1 modified skill as REVIEW; otherwise NOTE.

A4. Deep-read top upstream candidates

For every PROMOTE fork (capped at 5), fetch each unique skill's SKILL.md from the fork's default branch:

gh api "repos/${FORK_FULL_NAME}/contents/${SKILL_PATH}?ref=${FORK_DEFAULT_BRANCH}" --jq '.content' | base64 -d

On failure fall back to the file-tree listing and note "could not read content". Synthesize each unique skill into a 1–2 sentence description of what it does. Do not deep-read REVIEW or NOTE forks (output stays actionable).

A5. Compute week-over-week delta (code)

Compare the current active-fork set to prior fork-fleet-state.json:

• NEW_FORK: full_name absent from prior state
• NEW_ACTIVE: was stale/dormant, now active
• WENT_STALE: was active, now stale/dormant
• NEW_SKILLS: active in both snapshots, new_skill_count increased
• GONE: archived / deleted since prior run

A6. Pick the code verdict

One line. Priority order:

1. NEW UPSTREAM CANDIDATE: {fork} — if ≥1 PROMOTE fork has ≥1 new skill not present in prior state
2. ACTIVE FLEET: {N} forks building — if ≥3 PROMOTE+REVIEW combined
3. FLEET STIRRING: {N} new active — if ≥2 NEW_FORK or NEW_ACTIVE
4. HOLDING PATTERN: {N} active, no new work — active forks present but nothing crossed REVIEW
5. DORMANT: no active forks — shouldn't reach notify (S3 gates it); included for the log-only path

A7. Build the code-divergence article part

Assemble this block (it becomes Part 1 of the combined article in the final section):

## What changed this week
- **New forks**: [list or "none"]
- **Went active**: [list or "none"]
- **New skills landed**: [fork → skill names, or "none"]
- **Went stale**: [list or "none"]
- **Archived/deleted**: [list or "none"]
(Omit the entire section if every bucket is empty.)

## PROMOTE — upstream contribution candidates

### {fork_full_name} — score N [MANAGED | COMMUNITY]
**Activity:** last pushed YYYY-MM-DD · stars N · +N/-M commits vs upstream
**Unique skills:**
- `skills/foo/SKILL.md` — {one-line synthesis of what it does, from deep-read}
- `skills/bar/SKILL.md` — {synthesis}

**Why promote:** {1–2 sentence take — what this skill does that upstream lacks, and whether it's generalizable}
**Suggested action:** Open a PR cherry-picking `skills/foo/` (or reach out to {owner} to upstream themselves).

(Repeat for each PROMOTE fork, capped at 5. If PROMOTE is empty: "No upstream candidates this week.")

## REVIEW — worth a look

| Fork | Score | Ahead | New/Modified | Notable |
|------|-------|-------|--------------|---------|
| owner/repo | N | +N/-M | 0/2 | dashboard rewrite, custom notify |

(Omit if empty.)

## NOTE — low divergence

Terse one-liner per fork: `owner/repo (+N/-M, schedule tweak only)`. Collapse into a count if >5 entries. Omit if empty.

## Fleet vs community

| Category | Count |
|----------|-------|
| Managed instances | N |
| Community forks | N |
| Stale (30-365d) | N |
| Dormant (>365d) | N |

## Code source status
`forks_list=ok|fail · compare_ok=N/M · deep_read=N/M · rate_limit_retries=N · unreadable=N`

If PROMOTE has >5 forks, keep only the top 5 by score; list the rest in REVIEW.

A8. Update code state

Write memory/topics/fork-fleet-state.json:

{
  "last_run": "${today}",
  "last_status": "FORK_FLEET_OK",
  "parent_repo": "owner/repo",
  "forks": {
    "owner/repo": {
      "pushed_at": "YYYY-MM-DD...",
      "default_branch": "main",
      "ahead_by": N,
      "behind_by": N,
      "new_skill_count": N,
      "score": N,
      "tier": "PROMOTE|REVIEW|NOTE|UNREADABLE|API_FAIL",
      "unique_skills": ["skills/foo/SKILL.md", "..."]
    }
  }
}

A9. Set the code branch status

Branch B — Config divergence (runs when SCOPE ∈ {config, both})

B1. Snapshot upstream defaults

Read this running instance's local aeon.yml once. Build (these are baselines — never mutated):

• UPSTREAM_DEFAULTS: dict {skill_name -> {enabled: bool, model: str|null, var: str, schedule: str|null}} for every skill entry under skills:.
• UPSTREAM_SKILLS: set of skill directory names from skills/ (use ls skills/).
• UPSTREAM_TAGS: dict {skill_name -> [tags]} parsed from each skills/<name>/SKILL.md frontmatter (best-effort; missing frontmatter → []).

B2. Per-fork enumeration (one tree call + one yml fetch each)

Operate over the active-fork set from shared step S3 (already filtered to forks pushed in the last 30 days — the config branch's original cutoff). For each active fork, run one recursive git-tree call to enumerate files (cheaper than per-path contents):

gh api "repos/${FORK_FULL}/git/trees/HEAD?recursive=1" --jq '[.tree[] | select(.type == "blob") | .path]'

Then fetch the fork's aeon.yml only if the tree contains it:

gh api "repos/${FORK_FULL}/contents/aeon.yml?ref=${FORK_DEFAULT_BRANCH}" --jq '.content' | base64 -d

Error handling:

• 404 / 409 (empty repo): mark status: "no_tree", skip aeon.yml extraction, continue.
• 403 with X-RateLimit-Remaining: 0: sleep 60s, retry once. If still failing, mark status: "rate_limited" and continue.
• Tree contains aeon.yml but the contents call 404s: mark status: "yml_unreadable", continue.
• aeon.yml present but YAML parse fails: mark status: "yml_invalid", continue.

For each readable aeon.yml, extract per-skill {enabled, model, var, schedule}. Treat missing keys as inheriting the upstream default (do not count those as overrides).

Detect fork-only skills: directory names matching skills/<name>/SKILL.md in the fork's tree where <name> is NOT in UPSTREAM_SKILLS. Record {fork_full_name, skill_name, path} for each.

B3. Tier each fork

Compute a divergence signal vector vs UPSTREAM_DEFAULTS:

• enabled_diff: count of skills where the fork's enabled differs from upstream
• var_overrides: count of skills with non-empty var: where upstream's was empty (or a different non-empty value)
• model_overrides: count of skills with model: differing from upstream
• schedule_overrides: count of skills with schedule: differing from upstream
• fork_only_skill_count: count from step B2

Tier the fork:

• CONFIGURED: any signal ≥1 (the fork actively diverged)
• TEMPLATE: aeon.yml readable but every signal is 0 — excluded from divergence math
• UNREADABLE: no_tree / no aeon.yml / yml_unreadable / yml_invalid / rate_limited — tracked in the source-status footer

Let N_CONFIGURED = count of forks tiered CONFIGURED. If N_CONFIGURED < 2: the config branch cannot produce meaningful divergence math. Set config status FORK_SKILL_DIGEST_TEMPLATE_FLEET, record active/template/unreadable counts, emit a stub Part 2 noting the conversion rate, and contribute no config notify signal. Skip steps B4–B6.

B4. Aggregate divergence (the core config analysis)

For each skill name in UPSTREAM_SKILLS, compute four dimensions:

Enable divergence:

• forks_enabled_count: number of CONFIGURED forks with enabled: true for this skill
• forks_disabled_count: number of CONFIGURED forks with enabled: false (explicitly set, not inherited)
• upstream_enabled: bool from UPSTREAM_DEFAULTS
• divergence_pct:
  • If upstream enabled: false: forks_enabled_count / N_CONFIGURED (how many disagree by enabling)
  • If upstream enabled: true: forks_disabled_count / N_CONFIGURED (how many disagree by disabling)
• direction: "ENABLE_UPWARD" (upstream off, forks turn on) or "DISABLE_DOWNWARD" (upstream on, forks turn off)

Var divergence:

• var_override_count: number of CONFIGURED forks where var: differs from upstream
• top_var_value: most common non-empty fork value (with count) — only if ≥2 forks share it

Model divergence:

• model_override_count: number of forks with non-null model differing from upstream
• top_model_value: most common fork model (with count) — only if ≥2 forks share it (signals fleet consensus on a cheaper/different model)

Schedule divergence:

• schedule_override_count: number of forks with schedule differing from upstream
• top_schedule_value: most common fork schedule (with count) — only if ≥2 forks share it

B5. Categorize divergent skills

Classify each skill into at most one bucket (first match wins, in this order):

• DEFAULT_FLIP_ENABLE: direction == "ENABLE_UPWARD" AND divergence_pct >= 0.50 AND skill is not workflow_dispatch AND skill not tagged meta/dev. Recommend: flip upstream default to enabled: true.
• DEFAULT_FLIP_DISABLE: direction == "DISABLE_DOWNWARD" AND divergence_pct >= 0.50. Recommend: flip upstream default to enabled: false (the fleet is voting it as noise).
• MODEL_CONSENSUS: top_model_value non-null AND its count >= max(2, ceil(N_CONFIGURED * 0.40)). Recommend: match the fleet's model in upstream.
• VAR_HOTSPOT: var_override_count >= max(2, ceil(N_CONFIGURED * 0.30)) AND top_var_value non-null. Recommend: surface the common var value in upstream docs or as the default.
• EMERGING: direction == "ENABLE_UPWARD" AND 0.25 <= divergence_pct < 0.50 AND not already in a flip bucket. Surface as a watchlist — fleet sentiment building but not yet majority.
• (otherwise: not categorized; appears only in the appendix divergence table if any signal is non-zero)

Skills with all-zero divergence are omitted.

B6. Per-fork customization fingerprint

For each CONFIGURED fork:

• total_overrides: enabled_diff + var_overrides + model_overrides + schedule_overrides + fork_only_skill_count
• category_lean: dict {tag -> count_of_enabled_skills_with_that_tag} (using UPSTREAM_TAGS for upstream skills the fork enables; fork-only skills counted under tag "fork-only")
• dominant_category: tag with max count, or "mixed" if no tag holds >40% of total enabled count

Rank forks by total_overrides desc. Top 5 = "heaviest customizers" — surface with dominant category and a one-line synthesis (e.g. "owner/aeon — content-heavy: 14 article/digest skills enabled, 3 model overrides to claude-sonnet-4-6"). The fingerprint is descriptive only — never recommend changes to individual forks.

B7. Config week-over-week delta

Read the prior memory/topics/fork-digest-state.json snapshot (schema in B8). If it exists and last_run is within the last 14 days, compute:

• NEW_FLIP: skills now in DEFAULT_FLIP_* that weren't last run
• STRENGTHENED: skills that moved EMERGING → DEFAULT_FLIP_ENABLE
• FADED: skills that left a flip bucket since last run
• NEW_FORK_ONLY: fork-only skills not present last run
• NEW_HEAVY_CUSTOMIZER: forks now in the top-5 fingerprint that weren't before

If the file is missing or stale (>14 days), set all deltas to "first divergence snapshot".

B8. Pick the config verdict + persist snapshot

Config verdict line, strongest single claim first:

1. Any DEFAULT_FLIP_ENABLE: "${N} forks enable ${skill} (upstream defaults off) — flip the default"
2. Else any DEFAULT_FLIP_DISABLE: "${N} forks disable ${skill} (upstream defaults on) — fleet is voting it as noise"
3. Else any MODEL_CONSENSUS: "${N} forks override ${skill} → ${model} — match upstream"
4. Else any NEW_FORK_ONLY from delta: "${fork_owner} shipped ${skill} — not in upstream"
5. Else any EMERGING: "${skill} adoption building (${pct}% of configured) — watchlist"
6. Else: "${N_CONFIGURED} configured forks; no divergence pattern crossed flip threshold"

Persist memory/topics/fork-digest-state.json (overwrite each run — the JSON is the delta contract; do NOT parse last week's article):

{
  "last_run": "${today}",
  "target_repo": "${PARENT_REPO}",
  "n_active": N_ACTIVE,
  "n_configured": N_CONFIGURED,
  "n_template": N_TEMPLATE,
  "n_unreadable": N_UNREADABLE,
  "buckets": {
    "DEFAULT_FLIP_ENABLE": [{"skill": "name", "forks": N, "pct": 0.NN}],
    "DEFAULT_FLIP_DISABLE": [{"skill": "name", "forks": N, "pct": 0.NN}],
    "MODEL_CONSENSUS": [{"skill": "name", "model": "value", "forks": N}],
    "VAR_HOTSPOT": [{"skill": "name", "var": "value", "forks": N}],
    "EMERGING": [{"skill": "name", "pct": 0.NN}]
  },
  "fork_only_skills": [{"fork": "owner/repo", "skill": "name"}],
  "fingerprints": [{"fork": "owner/repo", "total_overrides": N, "dominant_category": "tag"}]
}

B9. Build the config-divergence article part

Assemble this block (it becomes Part 2 of the combined article):

*Scanned ${N_ACTIVE} active forks of ${PARENT_REPO} (pushed in last 30 days). ${N_CONFIGURED} are configured (aeon.yml diverges from upstream defaults). Divergence scored against the configured ${N_CONFIGURED}.*

## Default-flip candidates

### Enable upward (upstream off → fleet enables)
| Skill | Forks enabled | % of configured | Δ vs last week |
|-------|---------------|-----------------|----------------|
| name  | N             | XX%             | NEW / STRENGTHENED / — |

(Only DEFAULT_FLIP_ENABLE. If empty: "No skills crossed the 50% enable-upward threshold this week.")

### Disable downward (upstream on → fleet disables)
| Skill | Forks disabled | % of configured | Δ vs last week |
|-------|----------------|-----------------|----------------|
| name  | N              | XX%             | NEW / — |

(Only DEFAULT_FLIP_DISABLE. If empty: "No skills crossed the 50% disable-downward threshold.")

## Fleet consensus on alternative settings

### Model overrides
${MODEL_CONSENSUS entries: "skill X — N forks → claude-sonnet-4-6 (40% of configured)" OR "none this week"}

### Var hotspots
${VAR_HOTSPOT entries: "skill X — N forks set var to '${value}'" OR "none this week"}

### Schedule overrides
${skills where ≥2 forks share an alternative schedule, with the schedule string OR "none this week"}

## Watchlist (emerging — 25–49% adoption)
${EMERGING skills with adoption % OR "none this week"}

## Heaviest customizers (top 5)

| Fork | Total overrides | Dominant category | Notes |
|------|-----------------|-------------------|-------|
| owner/repo | N | content / dev / meta / fork-only / mixed | one-line synthesis |

## Fork-only skills

${list of {fork, skill_name} pairs OR "none this week"}

(These skills exist as `skills/<name>/SKILL.md` in a fork but not in upstream — fork experiments worth reviewing for upstreaming.)

## Config week-over-week

${"First divergence snapshot — no comparison" OR list of NEW_FLIP / STRENGTHENED / FADED / NEW_FORK_ONLY / NEW_HEAVY_CUSTOMIZER}

## Fleet composition (config tiers)

| Tier | Count | % |
|------|-------|---|
| Configured | N_CONFIGURED | XX% |
| Template (untouched aeon.yml) | N_TEMPLATE | XX% |
| Unreadable | N_UNREADABLE | XX% |
| **Total active** | N_ACTIVE | 100% |

## Config source status
- Trees fetched: N_TREES_OK / N_ACTIVE
- aeon.yml readable: (N_CONFIGURED + N_TEMPLATE) / N_ACTIVE
- YAML parse failures: N_YML_INVALID
- Rate-limited: N_RATE_LIMITED
- Fork-only skills inspected: N_FORK_ONLY_FILES

## Appendix — full divergence table

(Every skill with ≥1 non-zero divergence signal, sorted by total override count desc. Columns: skill, enable_diff, var_overrides, model_overrides, schedule_overrides. Cap at 30 rows; if more, append "+ N more skills with low-signal divergence".)

Config branch status

Assemble the report (all scopes)

R1. Write the combined article

To output/articles/fork-divergence-${today}.md. Header first, then whichever parts ran:

# Fork Divergence — ${today}

**Verdict:** {lead with the stronger of the two sub-verdicts — a code PROMOTE/NEW-UPSTREAM-CANDIDATE outranks a config flip only if it's a genuinely new skill; otherwise a DEFAULT_FLIP leads. Use judgment; one line.}

- **Code divergence:** {code verdict from A6, or "not run (scope=config)"}
- **Config divergence:** {config verdict from B8, or "not run (scope=code)"}

Fleet: N_TOTAL total forks · N_ACTIVE active · N_MANAGED managed instances · N_COMMUNITY community.

---

# Part 1 — Code divergence
{Branch A article part from A7; omit this whole part if SCOPE=config}

---

# Part 2 — Config divergence
{Branch B article part from B9; omit this whole part if SCOPE=code}

---
*Source: GitHub API — forks of ${PARENT_REPO}. Code divergence = per-fork unique commits/skills vs upstream. Config divergence = where configured forks' aeon.yml disagrees with upstream `enabled`/`var`/`model`/`schedule`; untouched templates are excluded from the config math. Companion to `skill-gap` (popularity).*

Cap the article at ~700 lines total (≈500 for code sections when both parts run). When only one branch ran, drop the other Part heading and the missing sub-verdict line.

R2. Notify — gated

Read soul/ (if present) to match the operator's voice. Skip notify entirely when neither branch produced a signal, i.e. when:

• code status ∈ {FORK_FLEET_NO_CHANGE, FORK_FLEET_QUIET} (or code didn't run), AND
• config status ∈ {FORK_SKILL_DIGEST_QUIET, FORK_SKILL_DIGEST_TEMPLATE_FLEET, FORK_SKILL_DIGEST_NO_FORKS} (or config didn't run).

If either branch hit FORK_FLEET_API_FAIL, send an error notify (--severity warn) noting the failure and source status.

Otherwise send one combined message via ./notify (include only the sub-blocks whose branch produced signal; cap ~900 chars so it renders across Telegram/Discord/Slack):

*Fork Divergence — ${today}*
{combined verdict line}

Fleet: N_ACTIVE active / N_TOTAL total. {1 sentence on shape — "mostly managed instances", "community picking up", "template-heavy", etc.}

{If code PROMOTE non-empty:}
Upstream candidate: {top PROMOTE fork}
{2 sentences: what they built, why it's worth merging back}

{If code delta has NEW_SKILLS:}
New skills landed this week:
- {fork} → `skills/foo/SKILL.md` — {synthesis}

{If DEFAULT_FLIP_ENABLE non-empty (top 3):}
Flip enable (upstream off → fleet on):
- {skill} — {N} forks ({pct}%)

{If DEFAULT_FLIP_DISABLE non-empty (top 3):}
Flip disable (upstream on → fleet off):
- {skill} — {N} forks ({pct}%)

{If MODEL_CONSENSUS non-empty (top 2):}
Model consensus:
- {skill} → {model} ({N} forks)

{If config delta NEW_FORK_ONLY non-empty:}
New fork-only skills: {comma-separated owner/skill, capped at 3}

Full report: https://github.com/${GITHUB_REPOSITORY}/blob/main/output/articles/fork-divergence-${today}.md

Use $GITHUB_REPOSITORY for the URL (the article lives in this running instance's repo, not the target repo).

R3. Log

Append to memory/logs/${today}.md under one heading. Include a discriminator line naming the scope that ran, then only the sub-blocks for branches that ran:

### fork-fleet
- Scope: {both | code | config}  ·  Combined status: {FORK_DIVERGENCE_OK | NO_CHANGE | QUIET | NO_TARGET | API_FAIL}
- Verdict: {combined verdict line}
- Fleet: N_ACTIVE active / N_TOTAL total (N_MANAGED managed, N_COMMUNITY community)

[code]  (only if Branch A ran)
- Code status: {FORK_FLEET_OK | NO_CHANGE | QUIET | API_FAIL}
- PROMOTE: N forks (list), REVIEW: N, NOTE: N
- Code delta: {new_forks:N, new_active:N, new_skills:N, went_stale:N}
- Code source: forks_list=ok|fail · compare_ok=N/M · deep_read=N/M · unreadable=N

[config]  (only if Branch B ran)
- Config status: {FORK_SKILL_DIGEST_OK | QUIET | TEMPLATE_FLEET | NO_FORKS}
- Configured: N (XX% conversion) · Template: N · Unreadable: N
- DEFAULT_FLIP_ENABLE: N · DEFAULT_FLIP_DISABLE: N · MODEL_CONSENSUS: N · VAR_HOTSPOT: N · EMERGING: N
- Fork-only skills: N · Heaviest customizer: {fork} ({N} overrides)

- Article: output/articles/fork-divergence-${today}.md
- Notification sent: yes/no

Exit taxonomy (combined)

The combined status rolls up the per-branch statuses (kept verbatim in A9 / B-status above):

Constraints

• Cross-repo compare accepts up to 300 files per response; if a fork exceeds this, note files_truncated=true for it and proceed.
• Cap active-fork deep processing at 50 per run (S3) — rank by pushed_at_epoch desc and trim, logging truncated_at=50.
• Never deep-read content from a fork with archived=true, or when the SKILL.md path is absent from the compare files list (cheapest sanity check).
• Never invent a PROMOTE candidate — a fork with zero new skill files is at most REVIEW.
• Config math needs a denominator: never send a config signal when N_CONFIGURED < 2 — the divergence percentages are meaningless without a configured base.
• Skills tagged meta or dev are excluded from DEFAULT_FLIP_ENABLE (operator tools — fork adoption isn't the success metric). They can still appear in MODEL_CONSENSUS, VAR_HOTSPOT, and the appendix.
• Skills with schedule: "workflow_dispatch" are excluded from both flip buckets (on-demand by design — adoption % is misleading).
• heartbeat is excluded from DEFAULT_FLIP_DISABLE (every fork inheriting upstream's enabled: true would game the disable count if any fork explicitly disables it to stay quiet).
• The per-fork fingerprint is descriptive only — only aggregate signals drive recommendations.
• Silent runs are correct, not failures. This skill is the divergence companion to skill-gap (popularity); avoid duplicating its headline metrics — focus on the code + config divergence patterns it doesn't surface.

Sandbox note

Every GitHub call uses gh api, which authenticates via GITHUB_TOKEN automatically and works from the sandbox — no curl, no env-var expansion in headers, no secrets beyond the default GITHUB_TOKEN. Retry policy: on 429/5xx (compare) back off per step A1; on 403 with X-RateLimit-Remaining: 0 (tree/contents) sleep 60s and retry once, then mark that fork rate_limited and proceed with a partial fleet (the verdict and source-status footers surface the gap). If the initial /forks listing fails after retry, combined status = FORK_DIVERGENCE_API_FAIL with forks_list=fail.