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 ThomasMoreAI/legal-skills-open --skill aviation-law-summarygit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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/thomasmoreai/legal-skills-open/aviation-law-summary)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/aviation-law-summary"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/aviation-law-summary/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/thomasmoreai/legal-skills-open/aviation-law-summary"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/aviation-law-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00068 | $0.00718 |
| Opus 5.5 | $0.00027 | $0.00287 |
| Sonnet 5.5 | $0.00014 | $0.00144 |
| Haiku 4.5 | $0.00007 | $0.00072 |
Grade A, and why
aviation-law-summary 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aviation Law Summary
Structured, citation-ready summary of aviation law authorities and operational impacts for a specified topic.
Prerequisites
Gather before starting:
- Topic scope — precise issue (e.g., accident liability, slot allocation, UAS operations, air service agreements)
- Jurisdiction — U.S. federal, international, or mixed; list relevant countries
- Sources — uploaded materials, known cases, regulations, treaties, agency actions
- Time horizon — whether current updates or pending rules must be covered
- Citation standard — Bluebook required; mark uncertain citations
[VERIFY]
Quick Start
- Extract and summarize authorities from provided materials first.
- Supplement with external sources only for currentness or gap-filling.
- Verify each authority for jurisdiction, holding, and citation accuracy.
- Populate sections per the output structure below.
- Produce a complete Table of Authorities.
Output Structure
Deliver sections in this order:
| Section | Contents |
|---|---|
| Executive Overview | Core issue, governing regimes, 3–5 key takeaways |
| Regulatory Framework | Statutes/regulations, agency authority, jurisdictional reach, conflicts |
| Treaty & International Regime | Conventions, bilateral agreements, preemption/interaction with domestic law |
| Case Law Analysis | Landmark and recent cases, holdings, reasoning, circuit splits, open questions |
| Liability & Remedies | Caps, defenses, notice requirements, damages, preemption |
| Enforcement & Procedure | Agency tools, penalty ranges, certificate actions, appeals |
| Operational Implications | Compliance duties, documentation, reporting, risk controls |
| Emerging/Unsettled Issues | Novel tech, pending rules, legislative initiatives |
| Practical Recommendations | Action items, monitoring items, counsel-review flags |
| Table of Authorities | All citations in Bluebook format |
Checklists
Regulatory Analysis
- Identify governing agencies and delegated authority
- Distinguish domestic vs. international applicability
- Note preemption or conflict points
- Identify operational requirements (licensing, certification, maintenance, safety)
- Flag reporting or recordkeeping obligations
- Include recent amendments or proposed rules if in scope
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 · 79 lines · 68 tokens per session scan A 29bbe3bfe370
aviation-law-summary is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 68 tokens to every session and 718 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…