Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AtlasOmnia/donna-starter --skill destination-trip-planninggit clone --depth 1 https://github.com/AtlasOmnia/donna-starterWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/atlasomnia/donna-starter/destination-trip-planning)<a href="https://agentmods.dev/skills/atlasomnia/donna-starter/destination-trip-planning"><img src="https://agentmods.dev/badge/skills/atlasomnia/donna-starter/destination-trip-planning/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/atlasomnia/donna-starter/destination-trip-planning"><img src="https://agentmods.dev/badge/skills/atlasomnia/donna-starter/destination-trip-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.02089 |
| Opus 5 | $0.00018 | $0.01045 |
| Sonnet 5 | $0.00007 | $0.00418 |
| Haiku 4.5 | $0.00004 | $0.00209 |
Grade A, and why
destination-trip-planning scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Travel/attraction websites frequently block web_extract and even browser_navigate.** They use Cloudflare or JS-heavy rendering. Fallback chain: search-result snippets → press releases on the official site → third-par Copies of this mod
1 near-identical copy found in the catalogue:
- destination-trip-planning — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Destination Trip Planning
Plan themed trips to specific attractions or destinations with real pricing, logistics, and a tight itinerary focused on the theme — not a generic city guide.
When to Use
- User wants to plan a trip to a specific attraction, event, or themed destination (e.g., Graceland, a national park, a festival, a resort)
- User asks for "what to do there" at a given destination
- User needs a go/no-go recommendation on trip length and budget
- User wants to know what's nearby that fits the same theme
Core Workflow
Phase 1: Lock the Destination and Constraints
Clarify up front:
- Exact destination — confirm the city/location (Graceland = Memphis, not Nashville)
- Traveler profile — age, mobility, energy level, interests
- Time window — exact check-in and checkout dates, calendar days, and number of nights; if the user corrects the duration, recompute the entire budget
- Traveler and payment structure — total headcount, ages, likely activity participants, and which person/team pays which share
- Budget sense — looking for deals vs. full-service package
- 2–3 day trip vs longer
Phase 1.5: Clarify What "The Attraction" Actually Is
First-time visitors often don't know the attraction's layout. Preempt "is it just a house?" or "the house is the museum, right?" moments by describing the physical campus up front:
- Is the attraction one building or a campus spread across multiple sites?
- What's the ticket actually cover? (e.g., Graceland's $85 Elvis Experience = mansion across the street + 200K sq ft exhibit complex + two airplanes + on-site dining/shopping)
- Are there free areas (gravesite, gates, grounds)?
- Can the traveler see everything without re-entering or is it split across days?
This matters more for older travelers — they need to know if there's significant walking, shuttles, or stairs between components.
Phase 2: Gather Destination Research
For the primary attraction:
- Ticket pricing tiers (standard vs VIP vs all-access)
- How long the full experience takes
- Peak vs off-peak times
- Available discounts (senior, AAA, military, promo codes)
- Parking / shuttle / accessibility info
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 162 lines · 36 tokens per session scan A af77b9563441
destination-trip-planning is a skill published in the GitHub repository AtlasOmnia/donna-starter (111 stars, last pushed 13d ago), licensed MIT. It adds 36 tokens to every session and 2,089 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
npm-downloads-to-leads
Takes a list of npm package names (yours or competitors'), fetches 12 weeks of daily download data from the npm API, computes a breakout velocity score per package to identify hockey-stick growth, fetches maintainer profiles from the npm registry and GitHub API, and outputs a ranked lead brief for each breakout…
gh-issue-to-demand-signal
Takes a competitor's public GitHub repo URL, fetches their open issues via the GitHub REST API, filters noise locally, clusters issues into 6 demand categories, computes a demand score per issue and per cluster, and outputs a ranked demand gap report with a GTM messaging brief. Use when asked to scan a competitor's…
domain-expired-opportunity-finder
Evaluates expired domain candidates against a target niche, scores them by topical relevance, historical activity level, and history cleanliness, then outputs a ranked shortlist with explainable reasoning and risk flags.
company-radar
Competitive intelligence orchestrator tracking companies across 8+ platforms (GitHub, Twitter, Reddit, HN, PH, YC Jobs) with heat scores and AI briefings.
linkedin-job-post-to-buyer-pain-map
Takes pasted LinkedIn job posts or hiring descriptions and converts them into a structured buyer pain map with inferred pains, capability gaps, buy-vs-build signal, account priority scores, and suggested outreach angles. Use when asked to analyze hiring posts, decode job descriptions for buyer intent, build a pain map…
producthunt-launch-kit
Use when the user asks to prepare a Product Hunt launch or generate Product Hunt listing assets. Generates tagline variants under 60 chars, a 500-char description, a maker comment, launch-day tweet thread, LinkedIn post, and a 4-email launch sequence.