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 paruff/uFawkesAI --skill langgit clone --depth 1 https://github.com/paruff/uFawkesAIWrote 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/paruff/ufawkesai/lang)<a href="https://agentmods.dev/skills/paruff/ufawkesai/lang"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/lang/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/paruff/ufawkesai/lang"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/lang.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 | $0.00025 | $0.01668 |
| Opus 5.5 | $0.00010 | $0.00667 |
| Sonnet 5.5 | $0.00005 | $0.00334 |
| Haiku 4.5 | $0.00003 | $0.00167 |
Grade A, and why
lang 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 20d 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.
How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: lang
Load trigger: "load lang skill" > DORA: AI Capabilities 3, 4 Token cost: Low
Purpose
Language-specific toolchain conventions for Python and TypeScript. CI gate commands, file layout, interface patterns, and configuration standards. Implements DORA AI Capabilities 3, 4.
When to Use
- Working on a Python or TypeScript/JavaScript project
- Setting up CI gates for language-specific tooling
Sub-skills (now integrated)
PYTHON
Skill: Language — Python
Load trigger:
"load lang-python skill"> Stack: Python 3.11+, ruff, mypy, pytest, pytest-cov, uv or pip Token cost: Low
Toolchain Reference
| Gate | Tool | Command | Config file |
|---|---|---|---|
| Lint | ruff | ruff check . |
pyproject.toml [tool.ruff] |
| Format | ruff | ruff format . |
pyproject.toml [tool.ruff.format] |
| Typecheck | mypy | mypy src/ |
pyproject.toml [tool.mypy] |
| Test | pytest | pytest |
pyproject.toml [tool.pytest.ini_options] |
| Coverage | pytest-cov | pytest --cov=src --cov-report=term-missing |
.coveragerc |
| Preflight | shell | ./scripts/preflight.sh |
scripts/preflight.sh |
File Layout Convention
src/
[package_name]/
__init__.py
services/ ← business logic
utils/ ← pure functions
models/ ← data models (Pydantic or dataclasses)
api/ ← HTTP handlers / FastAPI routers
tests/
test_services/ ← mirrors src/services/
test_utils/ ← mirrors src/utils/
conftest.py ← shared fixtures
pyproject.toml ← all tool config here (not setup.py)
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.
- 20d ago Changed · -114 lines · -3 tokens per session 8df9cea3dc4f
- 23d ago First seen · 334 lines · 28 tokens per session scan A 544d3480ed58
lang is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 1,668 once invoked, about $0.0001 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 2026-09-29.
Other skills, from other repositories
android-kotlin-testing
Android testing patterns — ViewModel unit tests with Turbine, Compose UI semantics, Hilt TestInstallIn fakes, coroutine test dispatchers, and release quality gates. Use when writing tests, setting up CI, mocking repositories, or asking "how to test ViewModel", "Compose UI test", "Turbine StateFlow".
migrate-to-shoehorn
Migrate test files from as type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace as in tests, or needs partial test data.
php-testing
Use when writing/configuring tests on a non-Laravel PHP project — PHPUnit vs Pest. Do NOT use for Laravel test helpers or quality tooling (php-quality-tooling).
rust-testing-quality
Use when writing, organizing, or running Rust tests — unit, integration, doc-tests, proptest, criterion benchmarks, or cargo-mutants. Not for CI pipeline wiring (rust-tooling-cicd).
go-testing-quality
Use when writing or reviewing Go tests, adding coverage, benchmarking, or profiling a Go program. Not for CI/lint wiring (go-tooling-security) or non-Go tests.
python-testing
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.