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 agentmods add skills/clivechung/skillmcp/trem-pythonnpx skills add clivechung/skillmcp --skill trem-pythongit clone --depth 1 https://github.com/clivechung/skillmcpWhat 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 | $0.00088 | $0.02362 |
| Opus 5 | $0.00044 | $0.01181 |
| Sonnet 5 | $0.00018 | $0.00472 |
| Haiku 4.5 | $0.00009 | $0.00236 |
Grade A, and why
trem-python 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 yesterday.
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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TREM Python Engineering Framework
A tailored Python implementation of the TREM engineering framework (Testable, Readable, Extensible, Maintainable) optimized for the modern Python ecosystem.
🏗️ Standard Python Technology Stack
| Capability | Standard Tool / Library | Key TREM Best Practice |
|---|---|---|
| Package Manager | uv |
Declarative pyproject.toml, reproducible uv.lock, fast virtual environments with uv run and uv add. |
| Configuration | pydantic / pydantic-settings |
Strongly-typed BaseSettings, environment variable loading, immutable configurations, validated input boundaries. |
| Logging | Standard library logging |
Module-level logger = logging.getLogger(__name__), structured log formatters, lazy formatting (%s), never print(). |
| CLI Applications | typer |
Type-annotated CLI interfaces, dependency-injected helpers, tested with typer.testing.CliRunner. |
| REST APIs | fastapi |
Dependency Injection via Depends(), Pydantic request/response models, isolated APIRouter modules, async I/O. |
| Database & Migrations | alembic + sqlalchemy (Async) |
Declarative models, repository/unit-of-work patterns, automated schema migrations with Alembic, injected async sessions. |
| MCP Servers | fastmcp (or official MCP SDK) |
Modular tool/resource definitions, decoupled business logic, strict type annotations, structured error returns. |
| Testing | pytest + pytest-asyncio |
Fixtures with explicit scope, unittest.mock / AsyncMock, httpx.AsyncClient(transport=httpx.ASGITransport(app=app)) for warning-free ASGI testing. |
⚡ Python TREM Assessment Checklist
| Pillar | Python-Specific Focus | Verification Question |
|---|---|---|
| T (Testable) | FastAPI Depends, Constructor Injection, Pytest Fixtures |
Are database sessions, HTTP clients, and clocks injected via arguments/Depends rather than instantiated globally or in function bodies? |
| R (Readable) | Type Hints (PEP 484/585), Guard Clauses, Docstrings | Are all function signatures strictly type-hinted? Is cyclomatic complexity minimized with early returns and descriptive variable names? |
| E (Extensible) | Protocols (typing.Protocol), Pydantic Models, Strategies |
Are service interfaces defined with Protocol or ABCs allowing pluggable implementations (e.g. storage providers, notification backends)? |
| M (Maintainable) | Layer Separation, Domain Exceptions, Alembic Migrations | Are routers/CLIs separated from business logic and database access? Are custom exceptions handled uniformly without bare except:? |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 163 lines · 88 tokens per session scan A 3c5c054bfb4e
trem-python is a skill published in the GitHub repository clivechung/skillmcp (0 stars, last pushed yesterday), licensed MIT. It adds 88 tokens to every session and 2,362 once invoked, about $0.0004 per session on Opus 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 2026-08-31.
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