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uspto-database

Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.

60

Quality

71%

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SecuritybySnyk

Passed

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tessl review fix ./bundled/skills/uspto-database/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The skill body is highly actionable with executable code and well-organized references to bundle files, but it is verbose from redundant capability listings and lacks explicit validation checkpoints in its batch/retrieval workflows. Tightening the duplication and adding error-handling guidance would lift the weaker dimensions.

Suggestions

Collapse the triple listing of API capabilities (Overview, 'When to Use', 'API Ecosystem') into a single concise section to reduce padding.

Move the inline query-operator, endpoint, transaction-code, and status-code tables into the corresponding reference files, keeping only a minimal example in SKILL.md.

Add explicit validation/error-handling checkpoints to the portfolio and comprehensive-analysis examples (check response status, handle rate-limit/empty results, retry on failure).

DimensionReasoningScore

Conciseness

The body is mostly actionable but noticeably padded — capabilities are listed three times (Overview, 'When to Use', 'API Ecosystem') and inline query operators, endpoint lists, and transaction/status code tables duplicate content already in the reference files.

3 / 5

Actionability

Provides fully executable, copy-paste-ready Python examples using the bundled helper scripts plus direct requests-based API calls, covering the common search, retrieval, and analysis cases.

5 / 5

Workflow Clarity

Tasks are sequenced (Task 1–5) and a combined analysis example exists, but validation checkpoints are absent or implicit; the portfolio/comprehensive examples perform batch retrievals without systematic error checking or retry feedback loops.

3 / 5

Progressive Disclosure

Structure is good with clearly signaled, one-level-deep references ('See references/patentsearch_api.md for...') and listed helper scripts, though a fair amount of API detail that could live in the reference files is inlined in SKILL.md.

4 / 5

Total

15

/

20

Passed

Description

75%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and distinctive, clearly carving out a USPTO IP-data niche with concrete capabilities. Its main weakness is the absence of an explicit 'Use when...' trigger clause, leaving the invocation context only weakly implied.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user needs patent or trademark data, prior art searches, or USPTO prosecution history.'

Include common synonyms users say, such as 'prosecution history', 'trademark status', and 'IP portfolio analysis'.

Tighten 'IP analysis' to a more concrete action phrase like 'analyzing patent portfolios' to strengthen the 'when' guidance.

DimensionReasoningScore

Specificity

Enumerates multiple concrete actions across the domain — 'patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR' — giving comprehensive coverage rather than just naming the domain.

5 / 5

Completeness

The 'what' is explicit, but the 'when' is only weakly implied by the purpose clause 'for IP analysis and prior art searches' with no 'Use when...' trigger guidance, which caps completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Includes natural terms users would say ('patent/trademark searches', 'prior art searches', 'office actions'), but misses common synonyms such as 'prosecution history', 'IP portfolio', or 'trademark status'.

4 / 5

Distinctiveness Conflict Risk

The USPTO/patent/trademark/PEDS/TSDR niche is highly specific with distinct triggers and minimal overlap risk with other skills.

5 / 5

Total

17

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (605 lines); consider splitting into references/ and linking

Warning

metadata_version

'metadata.version' is missing

Warning

Total

14

/

16

Passed

Repository
foryourhealth111-pixel/Vibe-Skills
Reviewed

Table of Contents

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