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.
git clone --depth 1 https://github.com/openjkai/secscan_mcpWrote 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/rules/openjkai/secscan_mcp/python-standards)<a href="https://agentmods.dev/rules/openjkai/secscan_mcp/python-standards"><img src="https://agentmods.dev/badge/rules/openjkai/secscan_mcp/python-standards/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/rules/openjkai/secscan_mcp/python-standards"><img src="https://agentmods.dev/badge/rules/openjkai/secscan_mcp/python-standards.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 | $0.00000 | $0.00232 |
| Opus 5.5 | $0.00000 | $0.00093 |
| Sonnet 5.5 | $0.00000 | $0.00046 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
python-standards 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 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
proc = subprocess.run( What it actually says
Python standards
- Python 3.11+; type-annotate all public APIs; mypy strict passes on
src/ - Line length 100; Ruff format + lint (
make format,make lint) - Use
pathlib.Pathfor filesystem paths; validate and resolve scan targets - Never log or return full secret values — redact in normalized findings
- Engine adapters:
is_installed() -> bool,run(path) -> list[Finding], parse JSON/stdout defensively - Subprocess: timeouts, capture stderr on failure, no shell=True
- Prefer stdlib + existing deps (
mcp,pyyaml); avoid new deps without reason
# ✅ subprocess with timeout
proc = subprocess.run(
cmd,
cwd=root,
capture_output=True,
text=True,
timeout=timeout_s,
check=False,
)
# ❌ never echo raw secrets
finding.code_snippet = redact_secret(raw_line)
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 First seen · 31 lines · 0 tokens per session scan A d8d5140c3bb1
python-standards is a cursor rule published in the GitHub repository openjkai/secscan_mcp (0 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 232 tokens. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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