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 pjt222/agent-almanac --skill assess-ip-landscapegit clone --depth 1 https://github.com/pjt222/agent-almanacWrote 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/pjt222/agent-almanac/assess-ip-landscape)<a href="https://agentmods.dev/skills/pjt222/agent-almanac/assess-ip-landscape"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/assess-ip-landscape/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/pjt222/agent-almanac/assess-ip-landscape"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/assess-ip-landscape.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 | $0.00093 | $0.02526 |
| Opus 5 | $0.00046 | $0.01263 |
| Sonnet 5 | $0.00019 | $0.00505 |
| Haiku 4.5 | $0.00009 | $0.00253 |
Grade A, and why
assess-ip-landscape 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 8d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assess IP Landscape
Map the intellectual property landscape for a technology area — identify patent clusters, white spaces, key players, and freedom-to-operate risks. Produces a strategic assessment that informs R&D direction, licensing decisions, and IP filing strategy.
When to Use
- Before starting R&D in a new technology area (what's already claimed?)
- Evaluating a market entry where incumbents have strong patent portfolios
- Preparing for investment due diligence (IP asset assessment)
- Informing a patent filing strategy (where to file, what to claim)
- Assessing freedom-to-operate risk for a new product or feature
- Monitoring competitor IP activity for strategic positioning
Inputs
- Required: Technology domain or product area to assess
- Required: Geographic scope (US, EU, global)
- Optional: Specific competitors to focus on
- Optional: Own patent portfolio (for gap analysis and FTO)
- Optional: Time horizon (last 5 years, last 10 years, all time)
- Optional: Classification codes (IPC, CPC) if known
Procedure
Step 1: Define the Search Scope
Establish the boundaries of the landscape analysis.
- Define the technology domain precisely:
- Core technology area (e.g., "transformer-based language models" not "AI")
- Adjacent areas to include (e.g., "attention mechanisms, tokenization, inference optimization")
- Areas to explicitly exclude (e.g., "computer vision transformers" if focusing on NLP)
- Identify relevant classification codes:
- IPC (International Patent Classification) — broad, used worldwide
- CPC (Cooperative Patent Classification) — more specific, US/EU standard
- Search WIPO's IPC publication or USPTO's CPC browser
- Define the geographic scope:
- US (USPTO), EU (EPO), WIPO (PCT), specific national offices
- Most analyses start with US + EU + PCT for broad coverage
- Set the time window:
- Recent activity: last 3-5 years (current competitive landscape)
- Full history: 10-20 years (mature technology areas)
- Watch for expired patents that open up design space
- Document the scope as the Landscape Charter
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.
- 8d ago First seen · 215 lines · 93 tokens per session scan A 784bd18a2f69
assess-ip-landscape is a skill published in the GitHub repository pjt222/agent-almanac (32 stars, last pushed today), licensed MIT. It adds 93 tokens to every session and 2,526 once invoked, about $0.0005 per session on Opus 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.
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