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brenda-database

Programmatic access to the BRENDA enzyme database via the SOAP API; use when you need kinetic constants (Km, kcat, Vmax), reaction equations, enzyme properties (pH/temperature optima, stability), or enzyme discovery by EC/substrate/product.

61

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./scientific-skills/Evidence Insight/brenda-database/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

46%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 is well-structured with real bundle files and clear navigation, but the body is padded with generic template sections and the executable example is partly non-functional because the documented BrendaClient API does not match the actual script. Tightening the boilerplate and aligning the example with the script would materially improve it.

Suggestions

Remove or condense the generic boilerplate sections ('Required Inputs', 'Recommended Workflow', 'Output Contract', 'Validation and Safety Rules', 'Failure Handling') that restate general best practices rather than BRENDA-specific guidance.

Fix the Python example to match scripts/brenda_queries.py: the script exposes module-level functions like get_km_values(ec_number, organism) and a CLI taking <ec_number> <organism>, not a BrendaClient class with get_km_values/get_reactions methods — make the example directly copy-paste runnable.

Add a BRENDA-specific validate->fix->retry loop (e.g., handling SOAP auth errors and the '#'-delimited response parsing) instead of the generic 'Quick Validation' boilerplate.

DimensionReasoningScore

Conciseness

Noticeably verbose with several generic template sections ('Required Inputs', 'Recommended Workflow', 'Output Contract', 'Validation and Safety Rules', 'Failure Handling', 'Quick Validation') that restate generic best practices rather than BRENDA-specific knowledge Claude already assumes, adding padding.

2 / 5

Actionability

Provides concrete example code and shell commands, but the Python example itself notes functions 'adjust function names to match scripts/brenda_queries.py' and the actual script's CLI signature (ec_number organism) does not match the documented BrendaClient class, so the example is not directly executable as written.

3 / 5

Workflow Clarity

A 'Recommended Workflow' and 'Quick Validation' sequence are present with validation language, but they are generic boilerplate rather than BRENDA-specific checkpoints, and there is no real validate->fix->retry feedback loop tied to SOAP query failures.

3 / 5

Progressive Disclosure

Good structure with a clear reference to references/api_reference.md (which exists) and scripts/brenda_queries.py (which exists), keeping the body as an overview; only minor gaps in signaling the full method list inline.

4 / 5

Total

12

/

20

Passed

Description

100%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.

A strong, specific description that clearly answers both what the skill does and when to use it, with concrete technical terms and comprehensive trigger coverage. It is concise and avoids vague language.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — kinetic constants (Km, kcat, Vmax), reaction equations, enzyme properties (pH/temperature optima, stability), and enzyme discovery by EC/substrate/product — covering the skill comprehensively.

5 / 5

Completeness

Clearly states what it does ('Programmatic access to the BRENDA enzyme database via the SOAP API') and when to use it ('use when you need...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural user terms (kinetic constants, Km, kcat, Vmax, reaction equations, pH/temperature optima, EC number, substrate, product) with strong synonym coverage matching how researchers phrase these requests.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (BRENDA enzyme database via SOAP) with distinct triggers (kinetic constants, EC numbers, enzyme properties) and minimal overlap risk with other skills.

5 / 5

Total

20

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
aipoch/medical-research-skills
Reviewed

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