ai-automation-workflows
3 findings (1 high, 1 medium, 1 info), mainly command injection, policy violation. Most recent scan 2026-10-22.
This is a byte-identical copy of ai-automation-workflows from 101-skills, which is the primary page for this skill. Same SKILL.md, same files; each copy is scanned separately so divergence shows up here.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Build automated AI workflows combining multiple models and services. Patterns: batch processing, scheduled tasks, event-driven pipelines, agent loops. Tools: inference.sh CLI, bash scripting, Python SDK, webhook integration. Use for: content automation, data processing, monitoring, scheduled generation. Triggers: ai automation, workflow automation, batch processing, ai pipeline, automated content, scheduled ai, ai cron, ai batch job, automated generation, ai workflow, content at scale, automation script, ai orchestration
- Package
- 1 file, 10 KB
- SKILL.md
- 1149 words, 12+ sections
- Code
- None. Instructions only.
- Allowed tools
Bash(belt*)
SKILL.md covers: AI Automation Workflows · Quick Start · Simple automation: Generate daily image · Automation Patterns · Pattern 1: Batch Processing · batch_images.sh - Generate images for multiple prompts · Pattern 2: Sequential Pipeline · content_pipeline.sh - Full content creation pipeline · Step 1: Research · Step 2: Write article · Step 3: Generate image · Step 4: Generate social post
Findings
HIGH Active instruction invokes dynamic code or process execution Command Injectionstatic
SKILL.md contains a syntax-confirmed dynamic code or process execution call in active instructions.
SKILL.md:301
result = subprocess.run(MEDIUM Python code block executes shell commands Command Injectionbehavioral
Code block in SKILL.md at line 294 contains potentially dangerous Python code.
SKILL.md:294
result = subprocess.run(INFO Skill does not specify a license Policy Violationstatic
Skill manifest does not include a 'license' field. Specifying a license helps users understand usage terms.
SKILL.md
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 10 KB |
External hosts referenced
cloud.inference.sh inference.sh raw.githubusercontent.com your-webhook.com
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
OUTPUT_DIR INPUT_DIR
Package contents recorded 2026-10-22 at commit becc25649700. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/qu-skills/superpowers
- Raw scan result: qu-skills-superpowers-guides-content-ai-automation-workflows-scan.json
- Badge for your README:
- Request a re-scan