Versioned security assessment

Report ID: SA-23DEF2FF

6/30/2026, 10:51:33 AM

airflow-dag-patterns security assessment v2

Skill Security Certification Report

Audit History

Audit model: codex Historical report

Skill name: airflow-dag-patterns
Version: v2
Maintainer: sickn33
Source: github.com/sickn33/antigravity-awesome-skills/tree/main/skills/airflow-dag-patterns
Coverage: 2 Files scanned · 552 Lines analyzed
Policy version: Unavailable

Highest confirmed finding severity

Low

1 confirmed security finding requires attention.

Installation context

Historical evidence

This report may not describe the currently installable artifact. Open the current Skill page for install guidance.

Open current Skill page

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

Static analysis reported many high and medium patterns, but review found they are documentation examples, Markdown backticks, Airflow dependency operators, or ordinary resource links. No malicious intent, prompt injection, credential access, or hidden execution was found; the only retained concern is a placeholder HTTP polling example that users should adapt safely.

Report position

Historical report

Open audit history before using this report to install.

Audit attestation

Not attestable

The required immutable binding is incomplete.

Human verification

Not verified

No human verification is recorded for this report.

Coverage

2 Files scanned · 552 Lines analyzed

1 item 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.

Source

Binding unavailable
Artifact

Identity incomplete
Audit

Complete
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 1 evidence location

Filesystem access

May read or write local files.

Not recorded by this audit

Env variables

May read values from the process environment.

Not recorded by this audit

External commands

May invoke commands or programs outside the Skill.

Not recorded by this audit

Risk findings

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

Confirmed security concerns (1)

RISK-001 Low

resources/implementation-playbook.md:316-318

Placeholder HTTP Request in Airflow Sensor Example

The playbook shows an Airflow custom sensor calling https://api.example.com/health with requests.get. This is a normal DAG polling example and not executed by the skill, but copied code should add timeouts, authentication handling, and approved endpoints.

The network call is directly present in a documentation code block. Its endpoint is a placeholder example domain and there is no evidence of exfiltration or malicious collection.

Expert evidence

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

Artifact subject

Marketplace commit: Unavailable
Content hash: Unavailable
Tree hash: Unavailable
Skill path: Unavailable
Audit payload hash: Unavailable

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.

Static false positives ignored (4)

Low

resources/implementation-playbook.md:153-213

False Positive: Airflow DAG Registration Uses globals()

The globals() assignment registers dynamically generated Airflow DAG objects from a static PIPELINE_CONFIGS list. This is a common Airflow pattern and does not evaluate user-controlled code.

The surrounding code shows static pipeline configuration and direct create_dag calls. No user input, eval, import loading, or command execution path is present.

Low

False Positive: Markdown Backticks and Airflow Operators

Static analysis treated Markdown code fences, inline code formatting, and Airflow dependency operators as shell or Ruby backtick execution. These are documentation syntax and Python Airflow examples, not executable shell commands in the skill.

Manual review confirms these lines are Markdown fences, inline references, directory tree text, or Airflow task dependency syntax. There is no shell interpreter invocation.

Low

SKILL.md:3 SKILL.md:8 SKILL.md:13 SKILL.md:28 resources/implementation-playbook.md:7 resources/implementation-playbook.md:9 resources/implementation-playbook.md:56 resources/implementation-playbook.md:508

False Positive: Weak Cryptography Pattern Matches

The weak cryptography alerts align with ordinary Airflow DAG wording and documentation links, not MD5, SHA1, DES, or other weak cryptographic operations. No evidence found of cryptographic code.

The cited lines contain Airflow DAG descriptions, table text, or an Astronomer documentation URL. Targeted search found no weak cryptographic API usage.

Low

resources/implementation-playbook.md:163 resources/implementation-playbook.md:445-446 resources/implementation-playbook.md:501 resources/implementation-playbook.md:507-509 SKILL.md:36

False Positive: Reconnaissance Pattern Matches

The reconnaissance alerts reference DAG identifiers, task dependency assertions, a best-practice sentence, and documentation links. No evidence found of system inventory, network scanning, or host discovery behavior.

The cited context is Airflow example code and safety guidance. There are no commands or APIs that enumerate hosts, ports, filesystems, users, or environment details.

Verify and export

JSON report CITATION.cff SARIF 2.1.0 Signed installation manifest

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

Audit attestation: not_attestable