Company Brainify

company-brainify — Personal → Team-Brain Sanitization

Convention: see conventions/brain-first.md — discovery runs through the brain's own retrieval, not filesystem guesswork. The grep pipelines below TRIAGE; gbrain query finds what keyword patterns miss.

Convention: see conventions/test-before-bulk.md — sanitize 3-5 files, read the output yourself, then ramp. A bad bulk sanitization pass is worse than none: it looks done and isn't.

Convention: see conventions/regex-discipline.md — "is this sensitive?" is a judgment call, so the model decides per file. The grep patterns are earned triage/verification tools, never the judge.

Convention: see _brain-filing-rules.md — edits stay in the page's existing directory; the deletion log files date-keyed under daily/.

The Problem

Personal brains accumulate everything — company knowledge, meeting notes, internal assessments, compensation details, management strategy, candid opinions about the people you work with. When you stand up a shared team brain from that personal brain (see docs/architecture/brains-and-sources.md for the team-mount topology), all of that has to go. The knowledge is valuable; the sensitive metadata is a liability.

Clean working-tree files alone are NOT enough: git history still carries every pre-sanitization version, and gbrain takes/facts carry evaluative claims outside the page prose. This skill handles all three surfaces — pages, takes/facts, and history.

When to Use

• Standing up a shared company brain from a founder/exec's personal brain
• Auditing an existing shared brain for sensitive content that shouldn't be there
• Onboarding new team members to a brain repo that must be verified clean first
• Periodic hygiene pass on a shared brain that re-accumulates sensitive data

What Gets Removed

Always strip (non-negotiable)

Category	Examples
Internal scores/ratings	score:, rating:, skill:, or any vertical-specific *_score: frontmatter field; any numeric rating of a person
Compensation	Salary, equity, carry, option grants, comp changes, retention packages
Performance assessments	Strengths/weaknesses sections about employees, "at risk" flags, underperformance mentions, "picking up slack" references
Departure/retention	Who's considering leaving, who was convinced to stay, departure rumors, retention conversations
Management strategy	How-to-manage-someone sections, "the hard conversation" notes, scope/title management plans
Internal political dynamics	Who doesn't like whom, who's nervous about whom, adversarial relationships, power dynamics
Personal PII	Phone numbers, personal email addresses, home addresses, family or medical details, personal legal matters, personal-life details
Takes/facts	Any take or fact referencing the above categories — performance, comp, retention, weakness, management risk. Fact rows are DELETED from the page's Facts fence, never merely expired with gbrain forget

Always keep

Category	Examples
Professional identity	Name, role, title, work email, LinkedIn
What they're building	Current projects, product work, technical contributions
Career arc	Prior companies, education, professional background (public info)
Professional beliefs	Their views on technology, strategy, product philosophy
Timeline of work	Meeting attendance, project milestones, launches (factual, not evaluative)
Skills/expertise	Technical capabilities, domain knowledge

Scan Scope — Wider Than people/

Sensitive content leaks far beyond people pages. The scan scope is:

• people/ — the primary surface (frontmatter fields, assessment sections)
• meetings/ — transcripts and minutes with candid assessments
• daily/ — daily notes referencing comp/performance/retention conversations
• companies/, projects/, analysis/ — cross-references to removed content
• Takes — evaluative claims in page takes fences (gbrain takes search)
• Facts — hot-memory facts (gbrain recall --grep)
• Back-links — after edits, gbrain check-backlinks check confirms no page still points at removed sections

A pass that only covers people/ will certify a brain that still leaks.

Procedure

All paths below are relative to the brain repo root:

BRAIN="$(gbrain config get sync.repo_path)"
cd "$BRAIN"

Phase 1: Identify scope (retrieval-first)

1. Retrieval discovery — hybrid search catches judgment-shaped content that no keyword pattern will:

   gbrain query "compensation, equity, or salary discussions about team members" --limit 50
   gbrain query "performance concerns, underperformance, or who is struggling" --limit 50
   gbrain query "considering leaving, retention conversations, departure rumors" --limit 50
   gbrain takes search "performance" --limit 50
   gbrain recall --grep "salary"
   

   Resolve every returned slug to its repo-relative file path and write the paths into /tmp/brainify-scope.txt (one per line). This file is the scope list; the structural pass below APPENDS to it — nothing later in the procedure may truncate it, or the retrieval-discovered pages silently drop out of scope.

2. Structural discovery — people files that belong to the company, plus keyword hits across the wider scan scope:

   grep -rli 'company: *"acme-example"' people/ --include="*.md" | sort >> /tmp/brainify-scope.txt
   grep -rli -E 'salary|equity|carry|retention|underperform|performance review|hard conversation' \
     meetings/ daily/ companies/ projects/ analysis/ --include="*.md" 2>/dev/null >> /tmp/brainify-scope.txt
   sort -u -o /tmp/brainify-scope.txt /tmp/brainify-scope.txt
   

3. Cross-reference against the company's public people page (website, LinkedIn) to catch files using different frontmatter conventions.

4. Count: wc -l /tmp/brainify-scope.txt

Phase 2: Triage sensitivity

Prioritize by hit density (portable grep -E; no \b — BSD and GNU disagree):

while read -r f; do
  hits=$(grep -c -i -E 'carry|salary|equity|comp change|departure|considering leaving|retention|underperform|picking up slack|performance review|management risk|hard conversation|nervou|score: *[0-9]|firing|fired|pip|probation|weakness' "$f" 2>/dev/null || true)
  [ "${hits:-0}" -gt 0 ] && echo "$hits $f"
done < /tmp/brainify-scope.txt | sort -rn > /tmp/brainify-triage.txt

High-hit files need full judgment passes. Zero-hit files may only need frontmatter field removal — but they still get read (regex triages, the model judges).

Phase 3: Sanitize (STAGING COPY preferred; test first, then parallel)

Phase 3 is destructive: it strips content across many files, removes takes, and deletes fact rows. Two rules govern it.

Choose the target FIRST — copy, don't mutate the personal brain.

• Standing up a NEW team brain (default, preferred): sanitize a STAGING COPY of the scanned directories, never the personal brain in place. The founder's personal brain is SUPPOSED to keep comp, performance, and candid notes — stripping them from the personal working tree destroys valuable private data. Copy the Phase-1 scope into a durable staging dir and edit THAT; Phase 5 Step 0 exports from the staging copy. Blast radius: none on the personal brain.

  # Durable staging dir (NOT /tmp — same reasoning as the mirror backup).
  STAGING="$HOME/.gbrain/backups/brainify-staging-$(date +%Y%m%d-%H%M%S)"
  mkdir -p "$STAGING" && chmod 700 "$STAGING"
  for d in people meetings daily companies projects analysis; do
    [ -d "$d" ] && rsync -a "$d/" "$STAGING/$d/"
  done
  cd "$STAGING"   # all edits below happen here, not in sync.repo_path
  

• Re-auditing an EXISTING shared brain: the shared brain IS the target, so edits are in place on the SHARED repo (cd into the shared repo, never the personal sync.repo_path). Fact-row removal + re-sync applies to the shared source's DB.

Fire the data-loss-gate confirmation card BEFORE the bulk destructive edits begin. Both targets are destructive (the copy path removes content from the tree destined for the team; the in-place path removes content from a live brain). Pre-filled for Phase 3:

⚠️ DATA DELETION — Confirmation Required

What: strip sensitive content, remove takes, and delete fact rows across
      [N files] in [STAGING COPY at <path>  |  the SHARED brain in place]
Count: [N files edited; T takes removed; F fact rows removed]
Location: [staging path OR shared repo path] — NOT the personal sync.repo_path
          on the staging path

Why: preparing a sanitized tree for team access

Recoverable?
- [x] Personal brain untouched (staging-copy path) — re-copy to redo
- [ ] In-place shared-brain path: edits overwrite the live tree; git history is
      the recovery line until Phase 5 purges it

Proceed? (yes/no)

Require a typed "yes"/"do it" per data-loss-gate; "ok"/"sure" are not consent.

Per test-before-bulk: do 3-5 files first, read the results, then ramp. For large sets (50+ files), batch into groups of 10-12 and spawn parallel subagents. Per file:

1. Read the file completely
2. Remove all content matching the "Always strip" categories
3. Frontmatter: delete rating/comp field lines entirely
4. Sections: remove entire sections (assessment weaknesses, team dynamics, management strategy)
5. Takes and Facts fences: remove entire rows that reference sensitive categories — a take like "alice-example believes charlie-example is underperforming" reveals both the opinion and who holds it; remove the whole row, never just the attribution
6. Inline mentions: surgically edit sentences/paragraphs
7. Write the cleaned file back

Decision rule: use Edit for surgical removal when only a few sections need it. Use Write to rewrite the entire file only when sensitive content is deeply interwoven throughout.

Facts: forget is NOT removal. gbrain forget <fact-id> expires a fact — the row stays on the page's Facts fence struck through, and the DB still serves it via --include-expired. An expired fact is retained, not gone. For sanitization, sensitive fact rows must be ACTUALLY REMOVED: find them (gbrain recall --grep), then delete the row from the page's Facts fence (step 5), exactly like a sensitive take. On an in-place shared brain, the page edit must then be re-synced (gbrain sync re-imports the edited page) AND the facts index reconciled — sync's convergence contract covers page import only; downstream fact extraction is explicitly decoupled (src/commands/sync.ts, "CONVERGENCE CONTRACT"), so the DB keeps serving the deleted row until the extract-facts reconcile runs. Trigger it (gbrain sweep, or wait for the serve-resident sweep), then confirm with gbrain recall --grep that the row is actually gone. An edited page over an un-reconciled facts index still leaks through retrieval. forget alone can never certify a brain clean.

After edits: on the staging-copy path the fact rows are removed by editing the copied markdown directly (there is no live DB to re-sync yet — the team DB is built fresh when Phase 5 Step 0 turns the export into a source). On the in-place shared-brain path, run gbrain sync so the page content matches the markdown, then reconcile and verify the facts index as above. Either way, run gbrain check-backlinks check to catch pages still pointing at removed content.

Phase 4: Verify

Re-run the Phase 2 triage — the count of flagged files should drop to (near-)zero. Then targeted greps:

# Rating fields remaining in frontmatter
grep -rn -E '^[a-z_]*(score|rating|skill)[a-z_]*: *[0-9]' people/ --include="*.md"

# Phone numbers
grep -rn -E '\+1[0-9]{10}|\([0-9]{3}\) [0-9]{3}-[0-9]{4}' people/ --include="*.md"

# Comp keywords (full scan scope, not just people/)
grep -rin -E 'carry|comp change|equity|salary' people/ meetings/ daily/ companies/ projects/ analysis/ --include="*.md" 2>/dev/null

# Management/performance
grep -rin -E 'considering leaving|departure rumor|underperform|picking up slack|hard conversation' people/ meetings/ daily/ companies/ projects/ analysis/ --include="*.md" 2>/dev/null

False positives (e.g. "carry the torch") are fine — manually confirm each remaining hit rather than tightening the pattern (regex-discipline).

Verify the tree that ships. On the staging-copy path, these greps run against the sanitized $STAGING tree (which Phase 5 Step 0 turns into the export) — the personal working tree is not what ships, so certifying it proves nothing. For an in-place shared-brain re-audit, the shared repo's tree is the shipped tree and this pass stands as-is.

Then the strongest check — the retrieval the team will actually use. Against the sanitized brain/source (scope with --source <team-source-id> when the shared source is mounted alongside personal content):

gbrain query "what is alice-example's compensation" --limit 10
gbrain query "who is underperforming or at risk of leaving" --limit 10
gbrain takes search "weakness" --limit 20

Every one of these must come back empty or with only keep-category content.

Phase 5: Commit and purge history — GATED

Clean files aren't enough if the repo has history: old commits still contain the sensitive versions.

Step 0 — preferred alternative (non-destructive). When standing up a NEW team repo, skip history rewriting entirely: the sanitized STAGING tree from Phase 3 becomes a fresh repo with fresh history. The personal repo keeps its full history AND its full working tree, untouched.

Export rule: nothing unscanned ships. Because Phase 3 copied ONLY the scanned directories into $STAGING, the staging tree contains nothing the sanitization pass didn't read — the include-only rule holds by construction. Never copy extra directories in: everything outside the scan scope (conversations/, originals/, sources/, inbox/) stays out. A whole-repo copy is the classic leak — it ships raw transcripts, originals, and inbox captures no pass ever read. To ship a new directory, add it to the scan scope first (Phases 1-4) so it lands in $STAGING sanitized.

# The sanitized staging tree IS the export.
cd "$STAGING"

# Re-run the Phase 4 verification greps + retrieval checks INSIDE $STAGING —
# the staging tree is what ships, and it is the tree that must certify clean.
# ... Phase 4 greps against $STAGING ...

git init -b main
git add -A && git commit -m "Initial import — sanitized team brain"
git remote add origin <TEAM_REPO_URL>
git push -u origin main

Only when a shared repo ALREADY exists with sensitive history in it do you need the purge below.

Step 1 — target the SHARED repo, commit the clean tree, then mirror-clone. The purge operates on the SHARED repo, NEVER on sync.repo_path (the personal brain) — Step 0's guarantee that the personal repo keeps full history depends on it. Clone the shared repo to a durable work dir, stay there for every step below, and assert the target is not the personal repo before touching anything.

PERSONAL="$(gbrain config get sync.repo_path)"
mkdir -p "$HOME/.gbrain/backups" && chmod 700 "$HOME/.gbrain/backups"
WORK="$HOME/.gbrain/backups/brainify-purge-$(date +%Y%m%d-%H%M%S)"
git clone <SHARED_REPO_URL> "$WORK/shared"
cd "$WORK/shared"
[ "$(git rev-parse --show-toplevel)" != "$PERSONAL" ] \
  || { echo "target IS sync.repo_path (personal brain) — ABORT"; exit 1; }

# Apply the sanitized tree, then COMMIT it BEFORE the mirror clone. A mirror
# captures COMMITTED state only; if the clean tree lives only in volatile
# staging during the rewrite window, a crash loses the sanitization work.
# Committing makes the clean state durable and recoverable.
for d in people meetings daily companies projects analysis; do
  [ -d "$STAGING/$d" ] && rsync -a "$STAGING/$d/" "./$d/"   # or sanitize in place here
done
git add -A && git commit -m "Sanitize: strip sensitive content before history purge"

# Mirror-clone backup = the recoverability line on the card. Capture the path
# in a variable NOW and reuse it verbatim at purge time — a run crossing
# midnight must NOT recompute $(date) and false-abort on a mismatched name.
BACKUP_PATH="$HOME/.gbrain/backups/shared-brain-history-backup-$(date +%Y%m%d-%H%M%S).git"
git clone --mirror "$WORK/shared" "$BACKUP_PATH"
git -C "$BACKUP_PATH" log -1 >/dev/null || { echo "backup unreadable — ABORT"; exit 1; }

Verify the mirror exists and reads before presenting the card — it is the card's recoverability line.

Step 2 — STOP. Present the data-loss-gate confirmation card and wait. History rewrite + force-push is the most destructive operation in this skill: it permanently discards every prior version of the purged paths from the remote. Never run it without the card answered. Pre-filled for this operation:

⚠️ DATA DELETION — Confirmation Required

What: rewrite git history to remove all prior versions of [purged paths]
      from the SHARED repo, then force-push to [remote/branch]
Count: [N commits rewritten; M files with history purged]
Size: [repo size before → expected after]
Location: [SHARED repo work dir; remote URL; branch]
Target check: this is the SHARED repo, verified ≠ personal sync.repo_path
      ($PERSONAL) — the personal brain's history is never rewritten

Why: prior commits contain pre-sanitization versions of pages that were
     just cleaned — team access to the repo means team access to history

Recoverable?
- [x] Mirror-clone backup at $BACKUP_PATH
      (verified: exists, `git -C "$BACKUP_PATH" log` works)
- [ ] NOT recoverable from the rewritten remote — old SHAs become unreachable

What we'd lose:
- all pre-sanitization history for the purged paths (edit trail, blame,
  old versions)
- every existing clone breaks — all collaborators must re-clone

Alternative to deletion:
- fresh-history export to a NEW team repo (Step 0) — personal repo untouched

Proceed? (yes/no)

Per data-loss-gate: require a typed "yes" or "do it" — "ok", "sure", "go ahead" are not consent. If the user asks a question, answer and re-present the card. This gate is a routing convention, not a runtime enforcement — nothing in gbrain mechanically blocks git filter-repo — which is exactly why the agent following this skill must not skip it.

Step 3 — purge (only after the explicit typed yes). Requires git filter-repo (not bundled with git; install separately). Run this ONLY in the shared-repo work dir from Step 1 (cd "$WORK/shared"). NEVER run git filter-repo or git push --force in sync.repo_path — the personal brain's history must stay intact. The commands below reuse $WORK and $BACKUP_PATH from Step 1; they never recompute a date-stamped path.

cd "$WORK/shared"
[ "$(git rev-parse --show-toplevel)" != "$PERSONAL" ] \
  || { echo "target IS sync.repo_path — ABORT, do not filter-repo"; exit 1; }

# The purge list derives from the COMPLETE set of sanitized paths — the same
# directories Phases 1-4 scanned. A filter list narrower than the scan
# (people/ + meetings/ only) leaves pre-sanitization history alive for every
# other scanned directory. The restore carrier below MUST match this same
# list — backed-up set, filtered set, and re-added set are identical.
PURGE_DIRS="people meetings daily companies projects analysis"

# Back up the clean working tree of every purged path to a DURABLE carrier
# (under $WORK in ~/.gbrain/backups — never /tmp, which can vanish mid-rewrite).
CLEAN="$WORK/clean"
mkdir -p "$CLEAN"
for d in $PURGE_DIRS; do
  [ -d "$d" ] || continue
  mkdir -p "$CLEAN/$d" && cp -r "$d/." "$CLEAN/$d/"
done

# Rewrite history: one --path per purged directory, derived from $PURGE_DIRS
rm -rf .git/filter-repo
git filter-repo --invert-paths $(for d in $PURGE_DIRS; do printf -- '--path %s/ ' "$d"; done) --force

# Restore clean files and re-commit as a single new commit — same $PURGE_DIRS
for d in $PURGE_DIRS; do
  [ -d "$CLEAN/$d" ] || continue
  mkdir -p "$d" && cp -r "$CLEAN/$d/." "$d/"
done
git remote add origin <SHARED_REPO_URL>   # filter-repo removes remotes
for d in $PURGE_DIRS; do [ -d "$d" ] && git add "$d/"; done
git commit -m "Re-add sanitized directories"

# VERIFY RESTORE COMPLETENESS before the irreversible push — a partial restore
# would ship a smaller tree than was sanitized. Compare file counts (and, for
# extra safety, checksums) between the carrier and the restored tree.
before=$(find "$CLEAN" -type f | wc -l | tr -d ' ')
after=$(for d in $PURGE_DIRS; do [ -d "$d" ] && find "$d" -type f; done | wc -l | tr -d ' ')
[ "$before" = "$after" ] \
  || { echo "restore incomplete ($before → $after files) — ABORT, do not force-push"; exit 1; }
# Optional stronger check: diff -r "$CLEAN/<d>" "<d>" for each purged dir.

# RE-VERIFY the backup immediately before the irreversible step — card-time
# verification is not enough; time has passed and the rewrite could have gone
# sideways. Reuse $BACKUP_PATH (do NOT recompute $(date)); abort if unreadable.
git -C "$BACKUP_PATH" log -1 >/dev/null \
  || { echo "backup missing/unreadable — ABORT, do not force-push"; exit 1; }

git push --force origin main

Step 4 — log it (to the PERSONAL brain, NEVER the shared repo). Per data-loss-gate, append the deletion under ## Data Deletions — but write it to the PERSONAL brain's $PERSONAL/daily/notes/YYYY-MM-DD.md (or a local ops log), never into the shared repo. The log names the purged paths AND the backup location; in the shared repo those two facts would tell every team member exactly which paths held sensitive content and where the pre-sanitization backup lives — the audit trail becomes a treasure map. Record: timestamp, purged paths, commit counts, and $BACKUP_PATH as the recovery line.

After the force push:

• All existing clones must re-clone
• Hosting providers may cache unreachable commits for a time (on the order of months); for immediate removal use the provider's sensitive-data removal process. For private/internal repos, the SHA being unreachable from any ref is usually sufficient
• The sync cursor may reference a rewritten-away SHA; if the next gbrain sync errors or falls back to a full rescan, that is the cursor recovering — run gbrain doctor if it doesn't settle
• Backup retention: once the rewrite is verified good (team has re-cloned, sync settled, no missing content reported), keep the mirror-clone backup in ~/.gbrain/backups/ for a retention window (~30 days is a sane default), then delete it — it contains the pre-sanitization history and should not accumulate indefinitely: rm -rf ~/.gbrain/backups/shared-brain-history-backup-<date>.git (the glob must match the shared-brain-history-backup-* name the backup step created — a mismatched pattern deletes nothing and silently retains the pre-sanitization history forever)
• If the repo carries push hooks or auto-hardening wiring, re-verify remotes and hooks survived the rewrite before handing the repo to the team

Phase 6: Ongoing hygiene — periodic re-audit

Sensitive data re-accumulates through meeting-transcript ingestion (candid assessments), enrichment pipelines pulling internal data, and manual writes during candid conversations. One clean pass is a snapshot, not a state.

Recommendation: schedule a monthly re-audit (weekly for high-ingest brains) that re-runs Phases 1, 2, and 4 in report-only mode — scan and flag, no edits — and surfaces new hits for human review before they reach the shared repo. Wire it per conventions/cron-via-minions.md: the cron slot submits a background job (gbrain jobs submit), scheduling guidance in skills/cron-scheduler/SKILL.md, job-lane routing in skills/minion-orchestrator/SKILL.md. The report-only run writes its findings summary; a human (or a gated follow-up run) does the removal.

Scaling Notes

• < 20 files: process sequentially in one pass
• 20-50 files: 2-3 parallel subagents
• 50-150 files: 8-12 parallel subagents, batches of 10-15
• 150+ files: scripted pattern removal for the rote cases only (frontmatter fields, phone numbers — machine-emitted shapes, per regex-discipline) + subagents for everything needing judgment

Edge Cases

• Founders vs. employees: founder/exec pages often carry the most sensitive content (board dynamics, investor relationships, assessments of their own team). These need the most careful review.
• Meeting notes: meeting pages referencing employee performance need the same treatment as people pages — they are in scope, not an afterthought.
• Cross-references: after sanitizing people pages, check that no other page (meetings, companies, dailies) still references the removed content; gbrain check-backlinks check plus a grep for the removed section titles.
• Takes with attribution: a take like "the user believes charlie-example is underperforming" reveals both the opinion and who holds it. Remove the entire take, not just the attribution.
• Aliases and nicknames: grep for the person's short name and initials, not just the slug — candid content rarely uses full names.

Dedup (sharp boundaries)

• data-loss-gate — supplies the confirmation-card mechanics and the explicit-yes discipline; company-brainify is a specialized caller of it at BOTH destructive steps: Phase 3 (bulk strip
  • take/fact removal) and Phase 5 (history purge + force-push), each with a pre-filled card. A standalone "delete/purge/clean up X" intent routes to data-loss-gate; the personal→team sanitization WORKFLOW routes here.
• publish — outbound sharing of ONE page as encrypted self-contained HTML. company-brainify is whole-brain inbound team access. "Share this page" → publish; "share my brain with the team" → here.
• maintain — structural health (orphans, backlinks, stale pages). maintain checks whether the brain is HEALTHY; company-brainify checks whether it is SAFE TO SHARE. "Check brain health" routes to maintain.
• frontmatter-guard (host-side) — validates frontmatter SHAPE. company-brainify strips sensitive frontmatter FIELDS; run frontmatter-guard after a large pass to confirm what remains still parses.

Contract

This skill guarantees:

• Both destructive steps fire the data-loss-gate confirmation card and wait for an explicit typed "yes"/"do it" BEFORE running: Phase 3 (bulk strip + take/ fact removal) and Phase 5 (history purge + force-push). This is a routing convention the agent must follow — nothing in the runtime mechanically blocks a skipped gate, which is why skipping it is the cardinal violation of this skill.
• Phase 3 defaults to sanitizing a STAGING COPY of the scanned scope, leaving the personal brain's working tree untouched; in-place edits are reserved for re-auditing an existing shared brain.
• The Phase 5 history purge (Steps 3+) runs only on the SHARED repo cloned to a work dir — never sync.repo_path — after (a) a mirror-clone backup exists and is verified, and (b) a restore-completeness check passes before the force-push. The personal brain's history is never rewritten.
• The deletion log is written to the PERSONAL brain (daily/) or a local ops log, never into the shared repo.
• The scan covers the full scope (people, meetings, dailies, companies, projects, analysis, takes, facts, back-links), never people/ alone.
• Nothing unscanned ships: the fresh-export path includes ONLY directories covered by the sanitization scan; everything else is excluded by default, and the Phase 4 verification greps run against the exported tree before the first push.
• Sensitive fact rows are deleted from the page's Facts fence, re-synced, and the facts index reconciled (extract-facts sweep) with the removal verified via gbrain recall --grep, never merely expired — gbrain forget retains the row (struck through, served via --include-expired) and can never certify clean.
• The history-purge filter list and its restore manifest both derive from the COMPLETE set of sanitized paths, never a subset.
• Every strip decision is a per-file model judgment grounded in a full read; grep output is triage and verification only.
• A verification pass (Phase 4 greps + retrieval checks) runs before any commit is pushed to the shared repo.
• Confirmed purges are logged to daily/notes/YYYY-MM-DD.md under ## Data Deletions with the backup path as the recovery line.
• Routing matches the canonical triggers in the frontmatter.
• Output written under the directories listed in writes_to: (edits in place, plus the daily/ deletion log).
• Privacy contract preserved: no real names, no fork-specific filesystem path literals, no upstream-fork references.

The full behavior contract is documented in the body sections above; this section exists for the conformance test.

Output Format

Three artifacts:

1. The sanitization report (every run, including report-only re-audits):

## Brainify Report — YYYY-MM-DD

- Scope: [N files scanned across people/, meetings/, daily/, ...]
- Flagged: [M files with hits] (triage list attached)
- Edited: [K files sanitized; T takes removed; F fact rows removed + re-synced + facts index reconciled]
- Verification: [grep residuals: 0 confirmed-sensitive; retrieval checks: clean]
- History: [not purged | fresh-export | purged after confirmed gate — backup at <path>]
- Next re-audit: [date / cron slot]

1. The confirmation card (Phases 3 and 5) — the pre-filled fenced card, presented before the bulk destructive edits (Phase 3) and before any history rewrite (Phase 5); the turn stops until the user answers.
2. The deletion log entry (post-purge only) — appended to the PERSONAL brain's daily/notes/YYYY-MM-DD.md (never the shared repo) per data-loss-gate Step 4.

Anti-Patterns

• ❌ Scanning only people/ — meetings, dailies, and cross-references leak the same content
• ❌ Sanitizing working-tree files and calling it done — history still carries every sensitive version
• ❌ Exporting the whole repo into the team brain — the export ships ONLY scanned directories; nothing unscanned ships
• ❌ Using gbrain forget as sanitization — forget expires (struck-through row retained, served via --include-expired); delete the fence row and re-sync instead
• ❌ Purging history for a subset of the sanitized paths — the filter list derives from the complete scan scope, not just people/ + meetings/
• ❌ Running git filter-repo / force-push without the mirror-clone backup and the typed confirmation — the card comes BEFORE the rewrite, always
• ❌ Running git filter-repo / force-push in sync.repo_path — the purge targets the SHARED repo cloned to a work dir; the personal brain's history is never rewritten
• ❌ Stripping the personal brain in place when standing up a NEW team brain — sanitize a staging copy; the founder's private comp/performance notes stay
• ❌ Bulk-editing files and removing takes/facts without the Phase 3 data-loss-gate card — destructive edits are gated too, not just the purge
• ❌ Writing the deletion log into the shared repo — it names the sensitive paths and the backup location; log it to the PERSONAL brain
• ❌ Treating grep as the sensitivity judge — patterns triage, the model reads and decides (regex-discipline)
• ❌ Removing the attribution but keeping the take — the claim itself is the leak; remove the whole row
• ❌ Bulk-editing 150 files without a 3-5 file test first (test-before-bulk)
• ❌ Tightening grep patterns to eliminate false positives — confirm the hits manually instead; a "clean" scan from an over-fitted pattern is a false certificate
• ❌ One clean pass with no re-audit — ingestion and enrichment re-accumulate sensitive content; schedule Phase 6