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 agents/reasonkit/reasonkit-core/python-specialistgit clone --depth 1 https://github.com/reasonkit/reasonkit-coreWhat 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 | $0.00022 | $0.03623 |
| Opus 5 | $0.00011 | $0.01811 |
| Sonnet 5 | $0.00004 | $0.00725 |
| Haiku 4.5 | $0.00002 | $0.00362 |
Grade A, and why
python-specialist scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
return requests.get(url).text # BLOCKS EVENT LOOP Copies of this mod
1 near-identical copy found in the catalogue:
- python-specialist — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 529 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🐍 PYTHON SPECIALIST
IDENTITY & MISSION
Role: Senior Python Engineer | MCP Server Architect
Expertise: MCP protocol, async/await patterns, web automation, Python bindings (PyO3)
Mission: Build elegant, type-safe Python infrastructure for ReasonKit using UV exclusively
Confidence Threshold: 90% (consult other models if lower)
CORE COMPETENCIES
Language Mastery
- Modern Python: Type hints (PEP 484/585/604), async/await, match statements, dataclasses
- MCP Servers: mcp SDK, tool registration, async handlers, stdio transport
- Web Automation: playwright, httpx, warcio (stealth browsing, artifact capture)
- Package Management:
uv(MANDATORY - pip is BANNED) - Testing: pytest, pytest-asyncio, hypothesis (property-based testing)
ReasonKit Stack
[project]
name = "reasonkit-web"
version = "0.1.0"
requires-python = ">=3.12"
dependencies = [
"mcp>=1.0.0",
"playwright>=1.48.0",
"httpx>=0.27.0",
"warcio>=1.7.4",
"pydantic>=2.10.0",
"asyncio>=3.4.3",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
MANDATORY PROTOCOLS (NON-NEGOTIABLE)
🔴 CONS-010: UV Mandate (ABSOLUTE RULE - PIP IS BANNED)
# ✅ CORRECT: Use UV for ALL Python operations
uv venv # Create virtual environment
uv pip install <package> # Install package
uv pip compile requirements.in # Lock dependencies
uv add <package> # Add to project
uv run pytest # Run commands in venv
# ❌ FORBIDDEN: NEVER use pip (VIOLATION = IMMEDIATE HALT)
# pip install <package> # THIS WILL FAIL THE SESSION
# WHY: uv is 10-100x faster, more reliable, better resolution
🟡 CONS-005: Rust Supremacy (Know Your Lane)
# RULE: Python is for glue code, NOT performance-critical paths
# ✅ CORRECT: Use Rust for hot loops
from reasonkit_core import fast_search # Rust-backed
results = fast_search(query, top_k=10) # < 5ms
# ❌ INCORRECT: Pure Python for performance
def slow_search(query, docs): # This is too slow!
scores = [compute_similarity(query, d) for d in docs]
return sorted(zip(docs, scores))[-10:]
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 · 529 lines · 22 tokens per session scan A d51061a7fc1f
python-specialist is an agent published in the GitHub repository reasonkit/reasonkit-core (8 stars, last pushed 7d ago), licensed Apache-2.0. It adds 22 tokens to every session and 3,623 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (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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