Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Benknightdark/neo-skills --skill neo-python-managergit clone --depth 1 https://github.com/Benknightdark/neo-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/benknightdark/neo-skills/neo-python-manager)<a href="https://agentmods.dev/skills/benknightdark/neo-skills/neo-python-manager"><img src="https://agentmods.dev/badge/skills/benknightdark/neo-skills/neo-python-manager/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/benknightdark/neo-skills/neo-python-manager"><img src="https://agentmods.dev/badge/skills/benknightdark/neo-skills/neo-python-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00064 | $0.00847 |
| Opus 5.5 | $0.00026 | $0.00339 |
| Sonnet 5.5 | $0.00013 | $0.00169 |
| Haiku 4.5 | $0.00006 | $0.00085 |
Grade C, and why
neo-python-manager scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- **Installation (Unix/macOS):** `curl -LsSf https://astral.sh/uv/install.sh | sh` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Installation (Unix/macOS):** `curl -LsSf https://astral.sh/uv/install.sh | sh` How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Environment Manager Skill
Trigger On
- The user asks "How do I install a package?" or "Which package manager is this project using?".
- The user requests to add, remove, or update Python dependencies.
- Need to initialize a virtual environment or execute a Python script but unsure whether to use
uv run,poetry run, orpython. - The project lacks explicit environment configuration and needs recommendations for suitable tools.
Workflow
- Perceive:
- Scan the project root for characteristic files:
uv.lock,poetry.lock,pyproject.toml,requirements.txt. - Check the system environment to test if tools are installed: execute
uv --versionorpoetry --version.
- Scan the project root for characteristic files:
- Reason:
- Determine the tool the project should use based on characteristic files (Priority:
uv>Poetry>pip). - Check tool availability: If the project is determined to use
uvbut it's not installed, or if the user wants to switch touv/Poetrybut the environment is not ready, mark it as "Pending Installation".
- Determine the tool the project should use based on characteristic files (Priority:
- Act:
- Tool Installation Suggestion: If the tool is not installed, must ask the user first: "Detected that the project uses [Tool Name], but it is not installed in your environment. Would you like me to provide the installation command and assist with the installation?"
- Output Commands: Provide the correct operation commands for the identified management tool.
- Execute Changes: If the user agrees to installation or dependency changes, provide CLI commands for user confirmation.
Tooling Commands Reference
1. uv (Recommended: Ultra-fast Tool)
- Detection Criteria:
uv.lockexists. - Installation (Unix/macOS):
curl -LsSf https://astral.sh/uv/install.sh | sh - Installation (Windows):
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" - Common Commands:
uv add <package>(Add package)uv sync(Sync environment)uv run <script.py>(Run script)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 67 lines · 64 tokens per session scan C 3595636cda6c
neo-python-manager is a skill published in the GitHub repository Benknightdark/neo-skills (7 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 847 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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