livepilot-wonder — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited livepilot-wonder (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.
Wonder Mode is a preview-first stuck-rescue workflow. It diagnoses why a session is stuck, generates genuinely distinct executable options, and lets the user preview, compare, and commit.
Before producing ANY creative response, query the user's atlas overlays. The corpus contains 337 entries across 3 namespaces, plus 3,917 parameter-level JSON sidecars — far richer than anything inferable from training data alone.
Query order:
Multi-grain traversal:
When an aesthetic-level query lands a pack-level result, AUTO-DRILL: pack → its notable_presets → those preset macro states → load via load_browser_item. Don't stop at "I found a relevant pack" — drill to the actual preset/parameter level the user can immediately use.
# Example — agent received "take it somewhere unexpected, surprise me"
hit = extension_atlas_search(namespace="packs", query="take it somewhere unexpected hidden gem")
# → cross-pack workflows + packs with hidden_gems body fields surface
workflow = extension_atlas_get("packs", "dub_techno_spectral_drone_bed")
# → reveals signal_flow: HDG → PitchLoop89 cross-feedback → Convolution Reverb
drone_lab = extension_atlas_get("packs", "drone_lab")
# → notable_presets reveals Razor Wire Drone with macros Filter Control=108, Movement=53...
# Now propose variants with concrete preset names + macro values, not vague descriptionsWhen the user mentions a producer or pack by name:
boc_decayed_pad cross-pack-workflow + inspired_by_nature packpitchloop89 + granulator_iii + 2 Henke cross-pack workflowsmica_levi_orchestral_dread workflow + the orchestral suite packsdrone_lab pack + 4 Drone Lab demo_project entriesThe atlas knows the user's installed library at parameter depth. Producer-anchor queries land specific moves, not vague descriptions.
Anti-pattern surfacing:
Every pack entry has an anti_patterns body field listing "don't reach for this when X." Surface the relevant anti-pattern when proposing a move so the user knows the move's domain. (E.g. "Drone Lab is sustain-only — don't use for percussive content.")
For deliberately rule-breaking creative requests ("eclectic", "ignore the limits", "weird combo", "mix incompatible aesthetics"): enter Eclectic Mode inside Wonder. Anti-patterns become prompt tension rather than guardrails: keep hard safety and protected-user constraints, then generate variants that intentionally combine one normally-avoided source with one identity-preserving source. Do not route to a private or missing skill.
detect_stuckness confidence > 0.5Wonder Mode now serves two callers:
rescue. The "fewer than 3 variants is correct" honesty rule applies — you are not obligated to fabricate options that don't exist.
divergence before any commit. Here, actively WIDEN across move.family before accepting fewer than 3 variants. Only fall back after honestly re-reading concept packets, anti-preferences, and recent memory. The context comes in via the wonder_session_id metadata or the caller's explicit framing.
enter_wonder_mode — get diagnosis + 1-3 variantsanalytical_only: true): directional ideas onlycreate_preview_set with wonder_session_id for executable variantsrender_preview_variant for each executable variantcompare_preview_variants — present recommendation with reasonscommit_preview_variant — applies the variant, records outcomediscard_wonder_session — rejects all, keeps creative thread openspecifically, two variants with the same move.family are not distinct
but on creative-director first-pass, widen across move.family values FIRST before accepting that conclusion (see livepilot-creative-director references/move-family-diversity-rule.md)
variant_count_actual field tells you how many are realFor each variant, explain:
For the recommendation, explain:
Wonder Mode should produce musically interesting results, not just technically correct ones. Before generating or applying any variant, read the shared device-knowledge references (they live in the livepilot-core skill, not in this one):
livepilot-core/references/device-knowledge/automation-as-music.md — automation shapes and macro gestureslivepilot-core/references/device-knowledge/creative-thinking.md — emotional-to-technical mappinglivepilot-core/references/device-knowledge/chains-genre.md — if the session has a genre identityWhen reviewing Wonder variants, aim for musical depth:
Note: these are agent-level guidelines, not enforced by the Wonder engine. The engine generates variants from semantic moves; the agent adds musical polish.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.