Versioned security assessment

Report ID: SA-A25199BC

7/5/2026, 6:13:44 PM

kegg-database security assessment v7

Skill Security Certification Report

Audit History
Audit model: codex Latest published report
Skill name
kegg-database
Version
v7
Maintainer
K-Dense-AI
Source
github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/kegg-database
Coverage
3 Files scanned · 956 Lines analyzed
Policy version
Unavailable

Highest confirmed finding severity

Medium

1 confirmed security finding requires attention.

Installation context

Check the current Skill page

This page summarizes report evidence only. The Skill page provides the canonical install advisory.

Open current Skill page

This report does not block or authorize the manifest or ZIP.

Most static findings are false positives from Markdown code formatting, KEGG biological identifiers, status-code documentation, or example text. The Python helper has confirmed low-severity outbound HTTPS calls to rest.kegg.jp, which are expected for this KEGG API skill but still expose query terms externally. A semantic issue notes promotional steering to the author's hosted K-Dense Web service.

Report position

Latest published report

Latest refers to the report sequence, not to artifact currentness.

Audit attestation

Not attestable

The required immutable binding is incomplete.

Human verification

Not verified

No human verification is recorded for this report.

Coverage

3 Files scanned · 956 Lines analyzed

9 items shown for review

Limitations

This report does not claim runtime or sandbox execution and does not prove the absence of side effects.

Evidence chain

Follow the evidence from source binding to the install contract. Available evidence supports verification; it is not a safety guarantee.

  1. Source

    Commit and path bound

  2. Artifact

    Content and tree hashes bound

  3. Audit

    Complete

  4. Install contract

    Open manifest to verify

    Open manifest

Capabilities observed

Observed means this report recorded supporting evidence. Not recorded does not prove that a capability is absent.

Contains scripts

May execute code included with the Skill.

Not recorded by this audit

Network access

May connect to external services.

Observed in 13 evidence locations

Filesystem access

May read or write local files.

Observed in 1 evidence location

Env variables

May read values from the process environment.

Not recorded by this audit

External commands

May invoke commands or programs outside the Skill.

Observed in 54 evidence locations

Capability review items (8)
Low
scripts/kegg_api.py:37
Python HTTP libraries
with urllib.request.urlopen(url) as response:
The helper performs an HTTPS request to rest.kegg.jp using caller-supplied KEGG identifiers or query terms. This is intended, but it creates external network egress and can disclose biological queries to KEGG.
Low
scripts/kegg_api.py:65
Python HTTP libraries
with urllib.request.urlopen(url) as response:
The helper performs an HTTPS request to rest.kegg.jp using caller-supplied KEGG identifiers or query terms. This is intended, but it creates external network egress and can disclose biological queries to KEGG.
Low
scripts/kegg_api.py:104
Python HTTP libraries
with urllib.request.urlopen(url) as response:
The helper performs an HTTPS request to rest.kegg.jp using caller-supplied KEGG identifiers or query terms. This is intended, but it creates external network egress and can disclose biological queries to KEGG.
Low
scripts/kegg_api.py:151
Python HTTP libraries
with urllib.request.urlopen(url) as response:
The helper performs an HTTPS request to rest.kegg.jp using caller-supplied KEGG identifiers or query terms. This is intended, but it creates external network egress and can disclose biological queries to KEGG.
Low
scripts/kegg_api.py:180
Python HTTP libraries
with urllib.request.urlopen(url) as response:
The helper performs an HTTPS request to rest.kegg.jp using caller-supplied KEGG identifiers or query terms. This is intended, but it creates external network egress and can disclose biological queries to KEGG.
Low
scripts/kegg_api.py:209
Python HTTP libraries
with urllib.request.urlopen(url) as response:
The helper performs an HTTPS request to rest.kegg.jp using caller-supplied KEGG identifiers or query terms. This is intended, but it creates external network egress and can disclose biological queries to KEGG.
Low
scripts/kegg_api.py:235
Python HTTP libraries
with urllib.request.urlopen(url) as response:
The helper performs an HTTPS request to rest.kegg.jp using caller-supplied KEGG identifiers or query terms. This is intended, but it creates external network egress and can disclose biological queries to KEGG.
Low
scripts/kegg_api.py:19
Hardcoded URL
KEGG_BASE_URL = "https://rest.kegg.jp"
This constant defines rest.kegg.jp as the fixed external endpoint used by the helper functions. The endpoint is legitimate for the skill, but it is still confirmed outbound network behavior.

Risk findings

Confirmed security concerns are separated from items that still need review.

Confirmed security concerns (1)

RISK-001 Medium
SKILL.md:376-377
Promotional Steering to External Hosted Service
The skill instructs the assistant to suggest K-Dense Web for complex workflows. This can steer users toward an external hosted service during research tasks and should be disclosed or removed.
The instruction is explicit and appears in the skill guidance. It is not code execution, but it is a clear business-logic steering behavior.

Remediation

Suggested fixes recorded by this audit. Applying them is the maintainer’s responsibility.

  1. FIX-001
    Medium
    Skill guidance promotes the author's hosted K-Dense Web service for complex workflows.
    Remove promotional steering, or move it to a clearly disclosed optional resource that does not interrupt normal skill use.
  2. FIX-002
    Low
    Outbound KEGG API requests disclose query terms to an external service.
    Document the network destination clearly and request user confirmation before sending sensitive gene, disease, compound, or drug queries.
  3. FIX-003
    Low
    URL path parameters are interpolated into KEGG request paths.
    Validate database names, organism codes, entry identifiers, and options before building URLs, and add request timeouts.

Expert evidence

Immutable subject identity, scanner metadata, dismissed matches, and source-level evidence.

Artifact subject

Marketplace commit
a25199bc7d6b82598536822d1738eb5d5f54025b
Content hash
312bcca3260716d0056ae8157493128fb451981673566a6fba0188be528ff16b
Tree hash
8fd7c1bdb1b359ee809bd4790168013238359f35e332659490fc8cb9210e3856
Skill path
skills/k-dense-ai/kegg-database
Audit payload hash
9ce53f3551e92b709bf3c37e61fa0582

Analysis metadata

Audit model: codex

Analysis state: Complete

Scope is limited to the recorded files, lines, methods, and evidence. No runtime or sandbox execution is claimed.

Verify and export

JSON report CITATION.cff SARIF 2.1.0 Signed installation manifest Source

The manifest and lockfile bind install artifacts to cryptographic hashes. This integrity claim is separate from the security assessment.

Audit attestation: not_attestable