skill-jskherman-engg-skills-uv · by Install
$ agentstack add skill-jskherman-engg-skills-uv Open-source listing, not yet scanned by AgentStack. Follow the source repository for install instructions.
Security review
⚠ Flagged1 finding(s); flagged for manual review. · v0.1.0 How review works →
- • Prompt-injection patterns
- • Secret / credential exfiltration
- • Dangerous shell & filesystem operations
- • Untrusted network calls
- • Known-malicious package signatures
- high Pipes remote content directly into a shell (remote code execution).
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
uv (Python runner)
Overview
Every other skill in this repository runs its scripts via uv run (PEP-723 inline dependency declaration). This skill is a one-page check: "is uv on PATH, and if not, how do you install it?"
When to Use
- Setting up the environment for the first time.
- A skill invocation has failed with
uv: command not found.
Don't use for
- Any engineering calculation.
- Authoring a new skill (use
engineering-skill-creatorinstead).
Setup
If uv is missing, install it from https://docs.astral.sh/uv/ . The common path on Linux/macOS:
curl -LsSf https://astral.sh/uv/install.sh | shOn Windows (PowerShell):
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"Then verify:
uv --versionConventions
- Every script in this repository is invoked as
uv run /scripts/.py -- --output /tmp/.json.
- The script header declares dependencies inline (PEP-723);
uv runwill
install them the first time and cache for subsequent runs.
- Stdout is reserved for a single success message; results live in the
JSON file at --output.
Procedure
- Read this SKILL.md and any referenced files needed for the task.
- Use scripts from
scripts/when a deterministic calculation or check is available. - Preserve stated assumptions, warnings, and scope limits in the final answer.
Pitfalls
- Trying to
pythona script directly rather thanuv run; the script
header won't be respected.
- Running scripts from a different working directory than the skill folder
— works, but path-based imports resolve engg_skills_common from the sibling skills/engg-skills-common folder, which is robust.
Verification
- Run
uv --versionand confirm it prints a version. - Run a representative skill script with
uv run ... --outputand confirm the JSON output file is created.
References
- https://docs.astral.sh/uv/
- https://github.com/astral-sh/uv
Anti-Patterns
- Installing
uvglobally withsudo; let the install script handle it. - Pinning
uvversions in skill scripts; the PEP-723 dependencies pin the
Python deps, and uv itself should be free to update.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jskherman
- Source: jskherman/engg-skills
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.