Query and Analyze BRENDA Enzyme Data
Comparing enzyme evidence across organisms and substrates requires repetitive BRENDA searches and manual parsing. This skill organizes authenticated queries, comparisons, visualizations, exports, and pathway analysis.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "brenda-database" from https://skillstore.io/skills/davila7-brenda-database.md and its manifest at https://skillstore.io/api/skills/davila7-brenda-database/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "brenda-database". Compare alcohol dehydrogenase evidence across yeast, E. coli, and humans.
Expected outcome:
A comparison table lists each organism, substrate, Km range, conditions, and record count. Missing units and sparse records are clearly marked.
Using "brenda-database". Visualize the available kinetic evidence for one EC number.
Expected outcome:
Using "brenda-database". Assess a three-step pathway to lactate.
Expected outcome:
A pathway summary identifies candidate enzymes, organisms, cofactors, operating conditions, feasibility factors, and experimental validation needs.
Review confirmed three medium-severity arbitrary file overwrite paths and one medium-severity import-hijacking risk. The other 182 static findings are false positives from EC numbers, Markdown formatting, ordinary imports, credential setup documentation, and official URLs. No prompt injection, credential exfiltration, obfuscated execution, or malicious intent was found.
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
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https://skillstore.io/skills/davila7-brenda-database/audits/10?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/davila7-brenda-database?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/davila7-brenda-database?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/davila7-brenda-database/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/davila7-brenda-database.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>davila7. (2026). brenda-database security audit report (audit version 10) [Author version unspecified]. Skillstore. https://skillstore.io/skills/davila7-brenda-database/audits/10@techreport{davila7-davila7-brenda-database-2026,
author = {davila7},
title = {brenda-database security audit report (audit version 10)},
institution = {Skillstore},
year = {2026},
number = {10},
url = {https://skillstore.io/skills/davila7-brenda-database/audits/10},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "brenda-database security audit report (audit version 10)"
version: "unspecified"
type: report
authors:
- name: "davila7"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/davila7-brenda-database/audits/10"
identifiers:
- type: other
value: "skillstore:davila7-brenda-database:audit:10"
description: "Skillstore immutable audit report identifier"
Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
k-dense-ai-brenda-database
2026-09-09
davila7-brenda-database
2026-09-09
Compare Km evidence for one EC number across organisms, substrates, temperatures, and pH conditions.
Identify thermostable, pH-stable, cofactor-compatible, or inhibitor-tolerant enzyme candidates for experimental review.
Transform BRENDA records into comparison tables, plots, and cited summaries for downstream analysis.
Find Km values for EC {{ec_number}} and substrate {{substrate}}. Summarize organisms, units, conditions, and literature notes.Compare EC {{ec_number}} across {{organisms}}. Rank evidence by Km, temperature, pH, substrate, and number of available records.Screen EC {{ec_number}} for {{target_condition}}. Compare stability, cofactors, inhibitors, activators, kinetic evidence, and data gaps.Build a candidate enzymatic pathway from {{starting_materials}} to {{target_product}} within {{max_steps}} steps. Report enzymes, organisms, conditions, cofactors, feasibility, and uncertainties.Author
davila7License
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Ref
c43861a65bb95efcae259cd161c9d6f4dc7eec6f
Maintenance freshness
7/24/2026
Usage
4 downloads · 198 views
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