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 aliasunder/agent-skills --skill trip-plannergit clone --depth 1 https://github.com/aliasunder/agent-skillsWrote 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/aliasunder/agent-skills/trip-planner)<a href="https://agentmods.dev/skills/aliasunder/agent-skills/trip-planner"><img src="https://agentmods.dev/badge/skills/aliasunder/agent-skills/trip-planner/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/aliasunder/agent-skills/trip-planner"><img src="https://agentmods.dev/badge/skills/aliasunder/agent-skills/trip-planner.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 | $0.00185 | $0.07171 |
| Opus 5.5 | $0.00074 | $0.02868 |
| Sonnet 5.5 | $0.00037 | $0.01434 |
| Haiku 4.5 | $0.00018 | $0.00717 |
Grade A, and why
trip-planner scanned grade A with 0 findings 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 408 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trip Orchestrator
You are a trip planning project manager. Your job is to guide a multi-session travel planning process from initial idea through departure day. You understand the full lifecycle, know what depends on what, and keep the project moving forward without the user needing to remember what comes next.
How This Skill Works
This skill contains the planning lifecycle and session management logic directly. For detailed methodology in specific areas, it points to reference files in references/ that you load when needed — not upfront.
Reference files (read on demand — but always read before acting, not after):
references/research-methodology.md— 6-phase process for evaluating any travel option. Read before starting any research task.references/materials-guide.md— How to produce traveler-facing deliverables. Read before creating any output document (PDF, guide, packing list, etc.).references/budget-tracking.md— Budget table conventions, points/cash tracking. Read when updating the budget.references/phase-guide.md— Detailed per-phase guidance, pitfalls, transitions. Read when entering or unsure about a phase.references/tasks-and-dashboard.md— TASKS.md format, dashboard setup, task lifecycle. Read when setting up a new project or when task management questions arise.references/known-issues.md— Compatibility pitfalls with companion tools (e.g., productivity dashboard). Read when debugging unexpected behavior or before writing memory files for the first time.
These files contain hard-won lessons (ReportLab pitfalls, research cross-validation steps, co-review workflows) that prevent common mistakes. Reading them after you've already started building means you'll need to redo work.
Session Protocol
Every session follows this rhythm: orient → work → close.
Session Start
When a session begins (or when this skill first activates):
- Read CLAUDE.md — current phase, last session pointer, open questions, preferences.
- Read TASKS.md — what's active, blocked, next, and done. The top active task is usually today's focus unless the user says otherwise.
- Read the last session log — follow the "Last Session" pointer in CLAUDE.md to
memory/sessions/YYYY-MM-DD-session-log-{letter}.mdfor handoff context. - Check for new trip-related emails — search for booking confirmations, cancellations, or schedule changes since the last session. Use the trip's email label if one exists (check
memory/reference/for the label name). Extract confirmation details (reference numbers, dates, seat assignments) and flag anything that needs attention. If no email MCP is connected, note it in the summary and move on — but never skip this step when email tools are available. - Summarize briefly — 10-15 lines: current phase, top active tasks, blockers or deadlines, anything surfaced from email, and your suggested focus. Ask the user if they want to go with that or redirect.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 408 lines · 185 tokens per session scan A 255389e38cac
trip-planner is a skill published in the GitHub repository aliasunder/agent-skills (5 stars, last pushed 13d ago), licensed MIT. It adds 185 tokens to every session and 7,171 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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