hive.colony-progress-tracker — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited hive.colony-progress-tracker (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Applies when your spawn message has db_path: and colony_id: fields. The DB is your durable working memory — tells you what's done, what to skip, which SOP gates you owe.
Access via terminal_exec running sqlite3 "<db_path>" "...". Tables: tasks (queue), steps (per-task decomposition), sop_checklist (hard gates).
If your spawn message includes a task_id: field, the queen pre-assigned a specific row to you. Claim that row by id — do not use the generic next-pending pattern below:
sqlite3 "<db_path>" <<'SQL'
UPDATE tasks SET status='claimed', worker_id='<worker-id>',
claim_token=lower(hex(randomblob(8))),
claimed_at=datetime('now'), updated_at=datetime('now')
WHERE id='<task_id>' AND status='pending'
RETURNING id, goal, payload;
SQLEmpty output → another worker raced you or the row is already done. Stop and report. Non-empty → that row is yours, proceed to "Load the plan".
If your spawn message did NOT include task_id: — you are a generic fan-out worker racing on a shared queue. Use the generic next-pending claim:
sqlite3 "<db_path>" <<'SQL'
UPDATE tasks SET status='claimed', worker_id='<worker-id>',
claim_token=lower(hex(randomblob(8))),
claimed_at=datetime('now'), updated_at=datetime('now')
WHERE id=(SELECT id FROM tasks WHERE status='pending'
ORDER BY priority DESC, seq, created_at LIMIT 1)
RETURNING id, goal, payload;
SQLEmpty output → queue drained, exit. Otherwise the returned id is yours. Never SELECT-then-UPDATE — races.
sqlite3 "<db_path>" "SELECT seq, id, title, status FROM steps WHERE task_id='<task-id>' ORDER BY seq;"
sqlite3 "<db_path>" "SELECT key, description, required, done_at FROM sop_checklist WHERE task_id='<task-id>';"Skip any step where status='done'. That's the point — don't redo completed work.
Before tool calls:
sqlite3 "<db_path>" "UPDATE steps SET status='in_progress', worker_id='<worker-id>', started_at=datetime('now') WHERE id='<step-id>';"After success (one-line evidence: path, URL, key result):
sqlite3 "<db_path>" "UPDATE steps SET status='done', evidence='<what you did>', completed_at=datetime('now') WHERE id='<step-id>';"sqlite3 "<db_path>" "SELECT key, description FROM sop_checklist WHERE task_id='<task-id>' AND required=1 AND done_at IS NULL;"sqlite3 "<db_path>" "UPDATE sop_checklist SET done_at=datetime('now'), done_by='<worker-id>', note='<why>' WHERE task_id='<task-id>' AND key='<key>';"Never mark a task done while this SELECT returns rows. This gate exists specifically to stop you from declaring success while skipping required steps.
# Success:
sqlite3 "<db_path>" "UPDATE tasks SET status='done', completed_at=datetime('now'), updated_at=datetime('now') WHERE id='<task-id>' AND worker_id='<worker-id>';"
# Unrecoverable failure:
sqlite3 "<db_path>" "UPDATE tasks SET status='failed', last_error='<one sentence>', completed_at=datetime('now'), updated_at=datetime('now') WHERE id='<task-id>' AND worker_id='<worker-id>';"The AND worker_id=? guard means a reclaimed row won't accept your write — treat zero rows affected as "your claim was revoked, stop."
After done/failed → claim the next task. Exit only when claim returns empty.
busy_timeout=5000 handles most contention silently.SELECT status, count(*) FROM tasks GROUP BY status;SELECT id, goal, status FROM tasks WHERE worker_id='<worker-id>';failed for audit.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.