{"slug":"waybox-ai-roadtrip-navigator","name":"roadtrip-navigator","description":"Generate North American road-trip itineraries as a map-first, offline-friendly single-file HTML page. Plans around daily driving segments, overnight stops, fuel/EV-charging, national-park reservations (Recreation.gov / NPS), seasonal road closures, and timezone/border crossings — for executable, decision-ready trips. Two entry modes: give a start + region/destination + days and it plans the whole route, or hand it an existing route and it verifies, fills gaps, and produces the page.","long_description":"---\nname: roadtrip-navigator\ndescription: >\n  Generate North American road-trip itineraries as a map-first, offline-friendly\n  single-file HTML page. Plans around daily driving segments, overnight stops,\n  fuel/EV-charging, national-park reservations (Recreation.gov / NPS), seasonal\n  road closures, and timezone/border crossings — for executable, decision-ready\n  trips. Two entry modes: give a start + region/destination + days and it plans\n  the whole route, or hand it an existing route and it verifies, fills gaps, and\n  produces the page.\nread-when: >\n  road trip, self drive, 自驾, 公路旅行, national park, scenic drive, RV trip,\n  EV road trip, Southwest loop, route 66, drive itinerary, campground, 自驾路线,\n  租车自驾, 环线, road trip planner, US/Canada drive, park reservation\n---\n\n# RoadTrip Navigator\n\nTurn **\"start + days\"** or **\"an existing route\"** into a road trip you can\nactually drive: paced into days, with overnight stops, fuel/charging, park\nreservations, seasonal road risks, and a map-first single-file HTML page.\n\nNorth American road trips revolve around the **car**, not flights: *how many\nhours do we drive today, where do we sleep, will we make it on the fuel/charge\nwe have, and is the road even open.* That focus is what this skill adds on top\nof a generic \"list of attractions.\"\n\n## When to use\n\nUse this skill whenever the request is about driving a multi-stop trip in the\nUS / Canada / Mexico (see `read-when` triggers). If the user only wants a single\ncity guide or a flight itinerary, this is not the right skill.\n\n## Two entry modes\n\nDetect the mode up front (see `scripts/helper.py` for the heuristic):\n\n- **Light mode (plan it for me):** user gives a start, a rough region or\n  destination, day count, and party/vehicle. → Run the full 7-step workflow,\n  designing the route yourself.\n- **Heavy mode (verify my route):** user pastes/links/screenshots an existing\n  route. → Skip route invention. Parse their route into the schema, then\n  *verify and fill gaps*: driving segmentation, overnight realism, fuel/charge\n  coverage, reservation countdown, seasonal closures, and produce the page.\n\nWhen unsure which mode, ask one short question. Otherwise infer and proceed.\n\n## The five things that make this more than a list\n\nThese are where pure-model answers fail and where this skill earns its keep:\n\n1. **Daily driving segmentation (the core).** Slice the whole route into days\n   under a sane daily drive limit, place an overnight at each segment end, and\n   *validate* each day: drive ≤ limit, arrive before dark, no stop hits a\n   closed gate, fatigue buffer. This is the road-trip equivalent of\n   connection-checking — most AI itineraries skip it.\n2. **Reservation countdown.** Recreation.gov campgrounds often release ~6 months\n   out; popular timed-entry a few days out; in-park lodges up to ~13 months out.\n   From the departure date, work backwards into a \"book by\" to-do list.\n3. **Fuel / charge planning.** Gas: flag long empty stretches (\"next fuel in\n   X mi\"). EV: plan a charging corridor against the vehicle's range and note\n   whether each leg makes it, charger power, and a backup.\n4. **Seasonal road conditions & closures.** Mountain passes that close in winter\n   (Going-to-the-Sun, Tioga Pass, Trail Ridge Rd), wildfire/hurricane/snow\n   season. If the travel date hits one, down-rank or reroute and say so.\n5. **Timezones & borders.** Correct arrival times across timezone lines; for\n   border crossings, flag documents / vehicle papers / insurance / wait times.\n\n## Workflow (7 steps)\n\n> Run `scripts/helper.py \"<user request>\"` first — it parses slots, guesses the\n> entry mode, picks the trip region (for HTML theming), and prints what's still\n> missing. Use its output to drive the steps below.\n\n### Step 1 — Collect requirements (slot filling)\nRequired: **start, travel date, days, party makeup, vehicle (gas/EV/RV + range)**.\nOptional: destination/region, budget, preferences (scenic vs. fast, hike\nintensity, loop vs. one-way, border crossing). Only ask follow-ups for missing\n**required** slots; fill the rest with sensible defaults and proceed.\n\n**Validate place names before planning.** Slot presence is not slot truth: a\nmade-up start like \"ABC\" parses fine and would otherwise flow straight into a\nfabricated route. Run every user-supplied place — start, destination, named\nwaypoints; in heavy mode each day's from/to towns — through\n`python3 tools/places_client.py \"<name>\"` and branch on its verdict:\n`match` → adopt the returned canonical name + coordinates; `did-you-mean` →\nconfirm the intended place with the user (one short question, same spirit as\nthe required-slot follow-ups); `no-match` → **stop and ask — never plan a\nroute around a place you could not verify**; `unverified` (offline) → use your\nown judgment and ask about any name you don't recognize. A `match` with\n`outsideNA: true` is a real place outside US/Canada/Mexico — tell the user\nit's beyond this skill's coverage instead of calling it fake.\n\n### Step 2 — Route / destination planning (if not given)\nDecide **loop vs. one-way** first (affects one-way drop fees and pacing).\nFor region-level input (\"the Southwest\", \"Pacific Northwest\"): search\ncandidates → seasonal & closure check → shortlist. Compute rough total miles /\ndriving days for the shortlist and drop any \"can't be driven in N days\" option.\n\n**Present two candidate routes before committing (light mode only).** Once the\nshortlist is down to viable options, draft **exactly two** genuinely distinct\nroutes yourself — e.g. a faster direct corridor vs. a scenic detour, or two\ndifferent geographic loops — each with a short label, a one-line summary, and\nrough total miles/driving days. Show both to the user and ask them to pick\n(or say \"surprise me\") before moving to Step 3. This is a single short\nquestion, same spirit as the required-slot follow-up in Step 1 — don't\ndraft a full itinerary for either option first. If the conversation is\none-shot and no reply is possible, pick the better-rated option yourself,\nproceed, and note the alternative you didn't take. Skip this entirely in\nheavy mode (the user already supplied a route) or once the user has already\nchosen. Carry both options into `scripts/helper.compare_routes()` to populate\n`routeOptions[]` (Phase-3 module below) so the rendered page shows the\ncomparison table with the chosen route flagged.\n\n### Step 3 — Daily driving segmentation (core; see five-things #1)\n1. Split by a **daily drive limit** (default: relaxed adults ≤ 4–5h;\n   with kids/seniors ≤ 3–4h; user-adjustable).\n2. Put an **overnight** at each segment end (has lodging, supplies, good for the\n   next morning).\n3. Validate: arrive **before dark**, no stop hits a **closed gate**, long legs\n   have a fuel/charge point mid-way.\n4. If infeasible: cut miles / add a night / pick a closer overnight town.\n5. Surface risks explicitly in the day, e.g. \"no fast charger for 180 mi on this\n   leg — charge to full before leaving.\"\n\nRule of thumb: **plan by daylight, not by odometer** — a day that ends after\ndark fails at the trailhead, not on the map.\n\n### Step 4 — Parallel research (sub-agents)\nFan out (one concern per sub-agent, run concurrently): weather (per day),\nlodging/campgrounds (price + booking difficulty), fuel/charging points,\nattractions & tickets/permits, food, scenic byways & hikes, Reddit real-world\ngotchas. **Delegation rule: instruct each sub-agent to hit official APIs first\n(NPS / NWS / Recreation.gov / Open Charge Map) and fall back to web search only\non failure.** See `reference.md` for the tool routing table and `tools/`.\n\n### Step 5 — Reservation countdown (see five-things #2)\nFrom the departure date, generate a \"book by\" to-do list:\ncampgrounds (Recreation.gov, ~T-6 months), timed-entry / wilderness permits\n(per park rule, T-X days), popular in-park lodges (up to ~T-13 months),\none-way car/RV rental (lock price early). Render at the top of the page as\nAttractions / Restaurants / Hotels tabs, each with its own deadline timeline.\nPopulate `bookingCountdown[]` and set each item's optional `category` to\n`attraction`, `restaurant`, or `hotel` (use the closest category for legacy tasks).\nEvery planned stay must also be present in `lodging[]`; the Hotels tab renders that\ncomplete list once and merges any matching hotel deadline from `bookingCountdown[]`.\nThe Attractions and Restaurants tabs likewise render the complete visitable `stops[]`\nand daily `meal` list, then merge matching deadlines instead of hiding items without one.\nAn unmatched attraction or meal is labeled as needing no advance booking; an unmatched\nstay is labeled with an unknown deadline because lodging still needs to be reserved.\nEvery park, hike, scenic stop, and tour must carry an `admission` object whose `status`\nis `free`, `included`, `paid`, or `unknown`. Add a structured per-stop price for paid\nadmission only when supportable; never derive it from an aggregate budget line. The view\nrenders these as Free, Included in park pass, a concrete amount, or Price unavailable.\nInclude a structured `price` when known: hotel per night, restaurant per person,\nand attraction ticket/permit price when required. Use amount `0` for a free reservation;\nnever invent an exact live price when it cannot be supported.\n\n### Step 6 — Budget (with reliability grading)\nTag every line **verified / reference(~) / estimate(≈)**. Road-trip specifics:\nfuel = total miles ÷ MPG × gas price (or EV charging cost); tolls; park entry or\nthe **America the Beautiful** annual pass; one-way drop fee; campground; lodging;\nfood. Force a bottom disclaimer: prices are dynamic, confirm before departure.\n\n### Step 7 — Generate the single-file HTML (map-first)\n1. Write the data to **`tripData.json`** first (data/view separation — editable,\n   re-renderable).\n2. Render: `python3 assets/generate.py tripData.json -o trip.html`\n   → Leaflet map (numbered stops + ordered polyline) + one-tap mobile nav\n   (Google/Apple deep links) + daily timeline + reservation to-do + budget.\n   Responsive (mobile single-column / desktop multi-column) + print friendly.\n3. **Validate before delivering** (plan §9): the generator already does a light\n   schema check and a JSON parse of the injected data. Optionally syntax-check\n   the inline JS, then open/preview.\n4. Full-page disclaimer: AI-assembled, may be out of date, verify with official\n   sources.\n\n## Output contract\n\n- Always produce **both** `tripData.json` and the rendered `trip.html`.\n- Units: miles, °F, MPG, USD by default; switch to km/°C/local currency on\n  Canadian/Mexican legs and note the change. A trip entirely within China\n  prices its budget in CNY (¥) — never converted into USD.\n- Never invent a precise reservation availability, live charger occupancy, or\n  minute-level traffic — point to the official app / Recreation.gov / nav.\n\n## Honesty boundaries (Phase 1)\n\nDo **not** promise: exact live fuel/electricity prices, live charger occupancy,\nminute-level traffic, live campground availability, or replacing turn-by-turn\nnavigation. For these, tell the user to confirm via the official app /\nRecreation.gov / their navigation app in real time. The page's job is to be\nright the morning you leave, not merely impressive the night it was generated.\n\n## Files\n\n- `reference.md` — tripData schema, reliability grading, tool routing table.\n- `AGENTS.md` (\"Worked examples\") — typical prompts and expected outputs.\n- `assets/generate.py` — `tripData.json` → single-file HTML.\n- `assets/template.html` — the HTML/JS renderer (Leaflet map + timeline).\n- `assets/tripData.example.json` / `assets/preview.html` — Southwest 7-day demo.\n- `assets/tripData.tahoe.json` / `assets/preview-tahoe.html` — Sunnyvale→Tahoe\n  3-day demo (mountain theme, state-park reservations, Sierra snow risk).\n- `assets/tripData.pnw.json` / `assets/preview-pnw.html` — Seattle→Vancouver→\n  Whistler EV cross-border demo (exercises all three Phase-3 modules below).\n\n## Phase-3 modules (implemented)\n\nThese render as extra sections when their data i","tagline":"Generate North American road-trip itineraries as a map-first, offline-friendly single-file HTML page. Plans around daily driving segments, overnight stops, fuel/EV-charging, national-park reservations (Recreation.gov / NPS), seasonal road closures, and timezone/border crossings —","category":"automation","commerce":{"type":"unknown","billing":"unknown","amount":null,"currency":null,"sourceUrl":null,"checkedAt":null,"runtime":"unknown","purchaseUrl":null,"checkout":"external","purchaseRequiresUserConsent":true},"tags":["agent-skill"],"author":"Waybox-AI","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"Waybox-AI/roadtrip-skill","creatorName":"Waybox-AI","creatorUrl":"https://github.com/Waybox-AI","sourceUrl":"https://github.com/Waybox-AI/roadtrip-skill/blob/main/SKILL.md","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/waybox-ai-roadtrip-navigator#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":106,"forks":12,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":37.76},"quality":{"score":67,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"106","tone":"neutral"},{"label":"Freshness","value":"29d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":72,"base_score":80,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["72/100 Trust Score v5","80/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is missing","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"106 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"106 stars, 12 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"29d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add Waybox-AI/roadtrip-skill --skill roadtrip-navigator"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":74,"weight":0.07,"status":"info","detail":"filesystem or document access, database access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/Waybox-AI/roadtrip-skill/blob/main/SKILL.md"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"106 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"106 stars, 12 forks; 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Review the current source before installing.","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, database access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":false,"command":null,"policy":"human_review_before_install","label":"Human review before install","notes":["The tracked source changed or could not be synchronized. Review the current source before installing.","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","29d since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 106 stars, 12 forks; issue activity unavailable in current metadata"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["automation","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":null,"trust_score":72,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["automation","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 106 stars, 12 forks; issue activity unavailable in current metadata"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":80,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v5":{"version":"trust-score-v5","score":72,"base_score":80,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["72/100 Trust Score v5","80/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is missing","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"106 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"106 stars, 12 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"29d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add Waybox-AI/roadtrip-skill --skill roadtrip-navigator"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":74,"weight":0.07,"status":"info","detail":"filesystem or document access, database access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/Waybox-AI/roadtrip-skill/blob/main/SKILL.md"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"106 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"106 stars, 12 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"29d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add Waybox-AI/roadtrip-skill --skill roadtrip-navigator"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"filesystem or document access, database access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/Waybox-AI/roadtrip-skill/blob/main/SKILL.md"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"14 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["Legacy review approval recorded","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["Financial research output is not financial advice; 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