unifi-mcp-server: Skill for Claude Code

.agents/skills/source-command-format/SKILL.md

source-command-format is a skill for Claude Code, Codex from enuno/unifi-mcp-server. It costs 9 tokens per session (133 once invoked), scanned A, original, Apache-2.0.

A procedure for automatically formatting Python code and fixing issues that supported tools can correct.

In plain words
What is it for?
Use it to run Black, isort, and Ruff on the project’s source and test files, then review any remaining manual issues.
Why use it?
It keeps code style and imports consistent across the project and reduces routine cleanup before review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is enuno/unifi-mcp-server's own configuration. It tells Claude Code and Codex how to work on unifi-mcp-server itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything unifi-mcp-server configures →

Reuse

Borrowing it

Nothing to install: this file belongs to enuno/unifi-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/enuno/unifi-mcp-server/main/.agents/skills/source-command-format/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/enuno/unifi-mcp-server

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for source-command-format

README.md
[![agentmods](https://agentmods.dev/badge/skills/enuno/unifi-mcp-server/source-command-format/github.svg)](https://agentmods.dev/skills/enuno/unifi-mcp-server/source-command-format)
Your own site
<a href="https://agentmods.dev/skills/enuno/unifi-mcp-server/source-command-format"><img src="https://agentmods.dev/badge/skills/enuno/unifi-mcp-server/source-command-format/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.

agentmods 80×15 button for source-command-format

Your own site · 80×15
<a href="https://agentmods.dev/skills/enuno/unifi-mcp-server/source-command-format"><img src="https://agentmods.dev/badge/skills/enuno/unifi-mcp-server/source-command-format.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 133 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00009 $0.00133
Opus 5.5 $0.00004 $0.00053
Sonnet 5.5 $0.00002 $0.00027
Haiku 4.5 $0.00001 $0.00013

Measured 1mo ago against content hash e17e437e5cc5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

source-command-format scanned grade A with 0 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/source-command-format/SKILL.md · 25 lines

What it actually says

source-command-format

Use this skill when the user asks to run the migrated source command format.

Command Template

Automatically format all Python code in the project.

Execute the following commands:

  1. Format code with Black: black src/ tests/
  2. Sort imports with isort: isort src/ tests/
  3. Fix auto-fixable linting issues: ruff check src/ tests/ --fix

Report back with:

  • Files that were modified
  • Summary of changes made
  • Any remaining issues that require manual intervention
Changes

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.

  1. 1mo ago First seen · 25 lines · 9 tokens per session scan A e17e437e5cc5

Subscribe to this mod's changes

source-command-format is a skill published in the GitHub repository enuno/unifi-mcp-server (308 stars, last pushed 4d ago), licensed Apache-2.0. It adds 9 tokens to every session and 133 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 44 tokens

pennylane

Builds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational quantum algorithms, quantum machine learning, simulator validation, and moving validated circuits to provider plugins. For hardware-specific compilation use qiskit or cirq; for…

K-Dense-AI/scientific-agent-skills · 74 tokens

holoscan-install-wheel

Install Holoscan SDK 5.x CUDA 13 Python wheels in an isolated environment, choosing the full stack or version-matched components.

NVIDIA/skills · 34 tokens

rocm-kernels

Provides guidance for writing and benchmarking optimized Triton kernels for AMD GPUs (MI355X, R9700) on ROCm, targeting HuggingFace diffusers (LTX-Video, SD3, FLUX) and transformers. Core kernels: RMSNorm, RoPE 3D, GEGLU, AdaLN. Includes XCD swizzle, autotune, diffusers integration patterns, and LTX-Video pipeline…

huggingface/kernels · 93 tokens

typing-exclusion-worker

Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.

getsentry/skills · 57 tokens

python

Python development with ruff, mypy, pytest - TDD and type safety.

alinaqi/maggy · 18 tokens