Borrowing it
Nothing to install: this file belongs to jnPiyush/AgentX. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jnPiyush/AgentX/master/.github/instructions/python.instructions.mdgit clone --depth 1 https://github.com/jnPiyush/AgentXWrote 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/instructions/jnpiyush/agentx/python)<a href="https://agentmods.dev/instructions/jnpiyush/agentx/python"><img src="https://agentmods.dev/badge/instructions/jnpiyush/agentx/python/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/instructions/jnpiyush/agentx/python"><img src="https://agentmods.dev/badge/instructions/jnpiyush/agentx/python.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 | $0.00363 | $0.00363 |
| Opus 5.5 | $0.00145 | $0.00145 |
| Sonnet 5.5 | $0.00073 | $0.00073 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
AgentX python.instructions.md 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.
What it actually says
Python Instructions
Auto-loads when editing Python files. For comprehensive standards, load the skill.
Skill: .github/skills/languages/python/SKILL.md
Key Rules
- Follow PEP 8 style guide
- Use type hints for all function signatures (PEP 484)
- Maximum line length: 88 characters (Black formatter)
- Use
rufffor linting and formatting - Google style docstrings
- Catch specific exceptions, never bare
except: - pytest for testing, pytest-asyncio for async
- Name tests:
test_function_name_scenario_expected
Critical Rules (Embedded -- Always Active)
Security
- Validate/sanitize ALL inputs at API boundaries
- Parameterize SQL via ORM or
cursor.execute(sql, params)-- NEVER f-strings or.format() - Secrets in env vars (
os.environ) or Key Vault -- NEVER hardcode - Use
secrets.compare_digest()for constant-time comparisons
Testing
- 80%+ code coverage required (
pytest --cov) - Pyramid: 70% unit, 20% integration, 10% e2e
- AAA pattern (Arrange-Act-Assert) in every test
- No bare
assert True-- assert specific values
Error Handling
- Catch specific exceptions (
ValueError,KeyError, etc.) - Log with context:
logger.error("msg", extra={"agent": ..., "issue": ...}) - Retry transient failures with exponential backoff (
tenacity) - Fail fast on invalid input at module boundaries
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.
- 1mo ago Changed 0c26c99ccf76
- 1mo ago First seen · 43 lines · 363 tokens per session scan A 5af236a0a001
AgentX python.instructions.md is an instructions file published in the GitHub repository jnPiyush/AgentX (17 stars, last pushed 2d ago), licensed Apache-2.0. It adds 363 tokens to every session, about $0.0015 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.
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