python-sdk
3 findings (2 high, 1 info), mainly command injection, policy violation. Most recent scan 2026-10-22.
Byte-identical copies of this skill are also published by magentosh, qu-skills. 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
Python SDK for inference.sh - run AI apps, build agents, and integrate with all models. Package: inferencesh (pip install inferencesh). Supports sync/async, streaming, file uploads. Build agents with template or ad-hoc patterns, tool builder API, skills, and human approval. Use for: Python integration, AI apps, agent development, RAG pipelines, automation. Triggers: python sdk, inferencesh, pip install, python api, python client, async inference, python agent, tool builder python, programmatic ai, python integration, sdk python
- Package
- 7 files, 54 KB
- SKILL.md
- 1099 words, 12+ sections
- Code
- None. Instructions only.
- Allowed tools
Bash(pipinstallinferencesh)Bash(python*)
SKILL.md covers: Python SDK · Quick Start · Run an AI app · Installation · Standard installation · With async support · Authentication · Direct API key · From environment variable (recommended) · Running Apps · Basic Execution · Fire and Forget
Findings
HIGH Python code block uses eval/exec Command Injectionbehavioral
Code block in references/tool-builder.md at line 254 contains potentially dangerous Python code.
references/tool-builder.md:254
result = eval(call.args['expression'])HIGH Python code block uses eval/exec Command Injectionbehavioral
Code block in references/tool-builder.md at line 364 contains potentially dangerous Python code.
references/tool-builder.md:364
result = eval(call.args["expression"])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 | 11 KB |
references/agent-patterns.md | doc | 6.9 KB |
references/async-patterns.md | doc | 8.5 KB |
references/files.md | doc | 6.1 KB |
references/sessions.md | doc | 6.9 KB |
references/streaming.md | doc | 5.8 KB |
references/tool-builder.md | doc | 8.6 KB |
External hosts referenced
inference.sh hooks.slack.com api.github.com cloud.inference.sh
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.
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/101-skills/superpowers
- Raw scan result: 101-skills-superpowers-sdk-python-sdk-scan.json
- Badge for your README:
- Request a re-scan