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/ocentra/ocentra-enforcer/pythongit clone --depth 1 https://github.com/ocentra/ocentra-enforcerWhat 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 | $0.00000 | $0.00335 |
| Opus 5 | $0.00000 | $0.00168 |
| Sonnet 5 | $0.00000 | $0.00067 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
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 today.
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.
What it actually says
Python Agent Persona
Agent Capsule Kind: T3 human-canonical prose (d09), advisory only. Read when: onboarding to Python/FastAPI-stack conventions in this workspace. Stop rule: every must/never bullet below is checked by
crates/enforcer-validator/src/doc_rule_parity.rs; do not add a bullet without a real[ruleId]citation.
Guidance for an AI agent (or human) writing Python/FastAPI code in this workspace. Advisory prose; the mechanized rule is the actual gate.
Layering
- A router must never reference a repository symbol directly [PYFA-1.1]
- A service must never take a
Session/AsyncSessionparameter [PYFA-2.1] - A service must never call
commit/begin/rollbackitself [PYFA-3.1] domain/**must always stay framework-pure — never import FastAPI/HTTP [PYFA-9.1]
Security
- Passwords must never be stored or compared in plaintext [PYFA-12.1]
- Token generation must never use insecure
random.*[PYFA-12.2] - CORS configuration must never use a wildcard origin [PYFA-12.3]
Free-text note: as with the other stack personas, "must"/"never" bullets here are what the doc-rule-parity gate checks; explanatory prose is unchecked.
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.
- today First seen · 36 lines · 0 tokens per session scan A 95f5613bf8f1
python is an agent published in the GitHub repository ocentra/ocentra-enforcer (0 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 335 tokens. 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.