ops-next — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited ops-next (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.
Before advising, load:
cat ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json — read owner, primary_project, default_channelscat ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json — flag any action_needed as priority${CLAUDE_PLUGIN_DATA_DIR}/memories/topics_active.md for ongoing work context| Command | Usage | Output |
|---|---|---|
gh pr list --state open --json number,title,statusCheckRollup,reviewDecision | Open PRs with CI/review status | JSON array |
If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when gathering priority data in parallel. This enables:
Team setup (only when flag is enabled):
TeamCreate("next-team")
Agent(team_name="next-team", name="fires-checker", prompt="Check infra health and CI for production fires")
Agent(team_name="next-team", name="comms-checker", prompt="Check unread messages across all channels")
Agent(team_name="next-team", name="prs-checker", prompt="Find PRs ready to merge — CI green, reviews approved")
Agent(team_name="next-team", name="sprint-checker", prompt="Check Linear sprint for highest-priority in-progress issues")If the flag is NOT set, use standard fire-and-forget subagents.
${CLAUDE_PLUGIN_ROOT}/bin/ops-infra 2>/dev/null || echo '{"clusters":[]}'${CLAUDE_PLUGIN_ROOT}/bin/ops-prs 2>/dev/null || echo '[]'${CLAUDE_PLUGIN_ROOT}/bin/ops-ci 2>/dev/null || echo '[]'${CLAUDE_PLUGIN_ROOT}/bin/ops-unread 2>/dev/null || echo '{}'for d in $(jq -r '.projects[] | select(.gsd == true) | .paths[]' "${CLAUDE_PLUGIN_ROOT}/scripts/registry.json" 2>/dev/null); do
expanded="${d/#\~/$HOME}"
if [ -f "$expanded/.planning/STATE.md" ]; then
alias=$(basename "$expanded")
cat "$expanded/.planning/STATE.md" 2>/dev/null | head -30
echo "---NEXT---"
fi
doneApply the priority stack to all pre-gathered data:
Check infra data for: unhealthy ECS tasks, stopped services, failed deployments. Check CI for: broken main or dev branches. If any fires exist → recommend `/ops-fires` immediately.
Check unread counts. If WhatsApp or email has unread messages from humans (not automated):
Check PRs for: CI green + no unresolved review comments + not draft. If any ready → recommend reviewing that PR now. Check: gh pr list --state open --json number,title,statusCheckRollup,reviewDecision 2>/dev/null
Fetch current sprint issues: use mcp__linear__list_issues filtered to current cycle (use Linear GraphQL fallback for cycle queries if needed). Find highest-priority issue that is in progress or unstarted.
From GSD state, find the highest revenue-impact active phase across all projects. Revenue weighting: read revenue.stage and priority from scripts/registry.json — projects with lower priority numbers (higher priority) and revenue stage of growth or active outrank pre-launch or development. Within the same tier, prioritize closest-to-done phases.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS ► NEXT ACTION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TOP PRIORITY: [fires|comms|PR|sprint|gsd]
▶ [specific action in one sentence]
WHY: [1-2 sentence rationale]
──────────────────────────────────────────────────────
Full priority stack:
1. [action] — [why] → [/skill or command]
2. [action] — [why] → [/skill or command]
3. [action] — [why] → [/skill or command]
4. [action] — [why] → [/skill or command]
5. [action] — [why] → [/skill or command]
──────────────────────────────────────────────────────
a) Do #1 now
b) Do #2 now
c) Show me everything (/ops-go)
d) I'll decide — just show the briefing
→ Pick or describe what you want
──────────────────────────────────────────────────────Use AskUserQuestion. When user selects an option, invoke the corresponding skill directly — don't describe it, do it.
If $ARGUMENTS contains context (e.g., "focus on <project-alias>"), constrain the analysis to that context.
After the user selects an action, use TaskCreate to track it. When routing to the corresponding skill, the task persists as a reminder of what the user chose to focus on.
When pre-gathered data is stale or incomplete, use WebFetch to pull fresh data from APIs (Linear GraphQL, Sentry, GitHub) directly.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.