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 swiss-trademark-deposit-self-tech-labsgit 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/swiss-trademark-deposit-self-tech-labs)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/swiss-trademark-deposit-self-tech-labs"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/swiss-trademark-deposit-self-tech-labs/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/swiss-trademark-deposit-self-tech-labs"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/swiss-trademark-deposit-self-tech-labs.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 | $0.00052 | $0.01484 |
| Opus 5.5 | $0.00021 | $0.00594 |
| Sonnet 5.5 | $0.00010 | $0.00297 |
| Haiku 4.5 | $0.00005 | $0.00148 |
Grade A, and why
swiss-trademark-deposit-self-tech-labs 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 24d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Depot de marque en Suisse
Posture
Default to a clear business register for entrepreneurs and creators. Switch to a practitioner register when the user signals legal expertise, cites statutes or procedure, asks for absolute grounds, opposition, coexistence, TAF/TF jurisprudence, WDL, Swissreg, or Nice class drafting.
Always state that the analysis is preparatory: it does not guarantee registration, absence of opposition, or replace specialist legal advice for significant matters.
Connected Sources
Use the four local MCP servers as the canonical source for data retrieval:
nice-headings:get_nice_headingandlist_nice_headingsfor official Nice headings;filing_intake_checkandfiling_requirements_snapshotfor filing readiness, official-language, fee, timing, and source-date checks.wdl:search_wdl,get_wdl_terms_by_class, andvalidate_termfor IPI/WDL labels.swissreg-corpus:search_swissreg_terms,get_class_combinations,get_sector_benchmark,list_mandataires, andswissreg_mark_detailfor professional Swissreg examples and class-combination calibration.taf-decisions:search_taf_decisions,get_taf_decision,find_similar_signs, andsign_risk_screenfor absolute-ground screening and precedents.corpus_statsandsource://manifestreport corpus dates, counts, version, freshness, TAF extraction confidence, and limits.
The Swissreg source exposes mandataire groups as filter metadata, but does not map every goods/services row to a mandataire; the facet IDs do not join to mark IDs. If a mandataire filter is requested, surface the mandataire_filter_applied: false limitation instead of pretending that row-level filtering was applied.
Do not present an unsupported label as pre-approved. Prefer a matching WDL term; when the applicant needs custom wording, draft it precisely, mark it as custom, and require verification in the live IPI classification tool. Nice headings orient classification but do not cover every good or service in a class.
What ships with it
5 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.
- 24d ago Changed 33b0d5544cfc
- 26d ago First seen · 98 lines · 52 tokens per session scan A da56fd768f53
swiss-trademark-deposit-self-tech-labs is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 52 tokens to every session and 1,484 once invoked, about $0.0002 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 2026-10-02.
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…