Patent Landscape
v1.0.0Use when analyzing biotech patent landscapes, identifying white spaces in pharmaceutical IP, tracking competitor patents, or assessing freedom to operate for...
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byAIpoch@aipoch-ai
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The declared purpose (biotech patent landscape analysis) matches the package contents: a small Python analyzer (scripts/main.py) and reference material. The script implements a mock PatentLandscape class and prints results consistent with the described capabilities (search/white-space/FTO are documented as features).
Instruction Scope
SKILL.md gives clear, bounded runtime instructions and audit commands (py_compile, --help). Minor inconsistencies exist in examples: SKILL.md's Quick Start imports from scripts.patent_landscape (module name not present) and mentions editing an in-file CONFIG block — the shipped scripts/main.py has no CONFIG or scripts/patent_landscape module. These are functional/documentation errors, not evidence of secret access or network activity.
Install Mechanism
No install spec is provided (instruction-only packaging). The only code is a small pure-Python script with no external dependencies in use. SKILL.md notes 'third-party packages: not explicitly version-pinned', but the included code does not import third-party modules, so there is no install-time network fetch or archive extraction to be concerned about.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The code does not read environment variables, files, or network endpoints — it only prints a mock analysis. Requested privileges are minimal and proportionate to the stated purpose.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modify other skill/system settings. Autonomous invocation is allowed by default, which is normal for skills; combined with the minimal footprint, this poses no special risk.
Assessment
This skill appears to be a small, local mock analyzer (no network, no credentials). It's coherent and low-risk, but note the documentation errors: example import path (scripts.patent_landscape) and mention of a CONFIG block don't match the included scripts/main.py. Before using in production, (1) run python -m py_compile scripts/main.py and python scripts/main.py --help as suggested, (2) inspect/verify the code yourself (it is short and readable), (3) correct the SKILL.md examples or adapt your invocation to scripts/main.py, and (4) if you extend the skill to call external patent APIs, ensure you add and review explicit dependency and credential requirements and pin third-party packages.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.