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 ZekaiSuni/claude-for-legal-turkish --skill invention-intakegit clone --depth 1 https://github.com/ZekaiSuni/claude-for-legal-turkishWrote 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/zekaisuni/claude-for-legal-turkish/invention-intake)<a href="https://agentmods.dev/skills/zekaisuni/claude-for-legal-turkish/invention-intake"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/invention-intake/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/zekaisuni/claude-for-legal-turkish/invention-intake"><img src="https://agentmods.dev/badge/skills/zekaisuni/claude-for-legal-turkish/invention-intake.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 | $0.00064 | $0.05476 |
| Opus 5.5 | $0.00026 | $0.02190 |
| Sonnet 5.5 | $0.00013 | $0.01095 |
| Haiku 4.5 | $0.00006 | $0.00548 |
Grade A, and why
invention-intake 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 — 468 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/invention-intake
This is a first-pass screen by a non-specialist, not a patentability opinion. The screen never concludes that an invention is patentable — it concludes that it passes the initial screen and warrants a prior-art search and registered-practitioner review, that it needs more information, or that it hits a disqualifier. A prior-art search is a separate step; this skill does not do one.
Instructions
- Read
~/.claude/plugins/config/claude-for-legal/ip-legal/CLAUDE.md. If it contains[PLACEHOLDER], stop and direct to/ip-legal:cold-start-interview. If the practice profile shows trademark- or copyright-only (no patent practice), say so and route the user elsewhere — this is the wrong tool. - Follow the workflow below.
- Run intake. If the user pasted or uploaded a disclosure, read it. If not, ask the seven intake questions (what / problem / differences / inventors / public disclosure / status / technology area) in one batch and wait.
- Run the six screens: novelty signals, obviousness flags, SMK m.82 Patentlenebilirlik, public disclosure / bar dates, detectability, strategic value. Each screen gets a ✓ / 🟡 / 🔴 verdict with one-line reasoning.
- Write the invention screen memo to the matter folder (if a matter is active) or the practice outputs folder. Apply the work-product header per role.
- Bottom-line verdict: PURSUE (schedule prior-art search and attorney review) / INVESTIGATE (needs more info on a specific open item) / DECLINE (state the concrete reason). Never say "patentable."
- Close with the decision tree (prior-art search / inventor follow-up / specialist review / decline + thank-you / trade-secret route) and the non-lawyer gate if the role is non-lawyer.
- If the screen hit a within-one-year US disclosure or any public disclosure with foreign rights in scope, flag at the top: time-sensitive.
This skill never concludes that an invention is patentable. If uncertain, flag — a registered patent attorney or agent decides.
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 · 468 lines · 64 tokens per session scan A c8114176446a
invention-intake is a skill published in the GitHub repository ZekaiSuni/claude-for-legal-turkish (108 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 64 tokens to every session and 5,476 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
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legal-hold
Issue, refresh, release, or report on legal holds — drafts the hold notice as .docx, updates legalhold fields in log.yaml, and calendars the next refresh. Use when the user says "issue a hold", "refresh hold", "release hold", or asks for a portfolio-wide hold status report.
specification-writing
A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.
terms-of-service
Draft terms of service and a companion privacy notice matched to the product's form and feature modules, not legal advice, delivered as a Word document.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
ai-risk-management
Apply the NIST AI Risk Management Framework (AI RMF 1.0) and adjacent guidance to AI / ML systems — model lifecycle governance, fairness and bias evaluation, robustness, transparency, accountability, third-party model risk, monitoring for drift, and AI incident response. Broader than prompt-injection (which is the…