intelligence-report — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited intelligence-report (Agent Skill) and scored it 96/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 1 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 1 flagged
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
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.
Generate a comprehensive intelligence briefing from the brand's compound intelligence system. This command surfaces the accumulated knowledge that agents have built over time — total learnings captured, confidence distribution across insights, top patterns identified across agents and channels, actionable playbooks generated from proven strategies, and intelligence base health metrics showing where the knowledge is strong and where gaps exist. The intelligence report turns raw accumulated data into strategic advantage by synthesizing cross-agent patterns that no single agent would surface alone. Use it for quarterly planning, strategy reviews, onboarding new team members to a brand's marketing intelligence, or identifying which areas need more experimentation and data collection to strengthen decision-making confidence.
The user must provide (or will be prompted for):
~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand positioning, channel mix, campaign history, and strategic objectives. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.intelligence-graph.py get-stats --brand {slug} to retrieve the intelligence base overview — total learnings captured, learnings by agent and channel, confidence score distribution (high, moderate, low), date range of intelligence, and most recent learning timestamp.intelligence-graph.py get-patterns --brand {slug} for key dimensions — channel performance patterns, audience response patterns, timing and seasonality patterns, creative and messaging patterns, and budget efficiency patterns. If a focus area was specified, weight pattern retrieval toward that dimension. Identify patterns that span multiple agents (e.g., a timing pattern confirmed by both the email specialist and social media manager).intelligence-graph.py export-playbook --brand {slug} --scenario {scenario} to synthesize relevant learnings into a step-by-step actionable playbook. Each playbook step references the specific learnings and confidence levels that support it. If no playbook was requested, generate a summary of the top three available playbooks based on the strongest pattern clusters.A structured intelligence briefing containing:
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.