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/ragnarok22/agent-skills/python-doctornpx skills add ragnarok22/agent-skills --skill python-doctorgit clone --depth 1 https://github.com/ragnarok22/agent-skillsWhat 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 | $0.00081 | $0.02265 |
| Opus 5 | $0.00041 | $0.01132 |
| Sonnet 5 | $0.00016 | $0.00453 |
| Haiku 4.5 | $0.00008 | $0.00227 |
Grade A, and why
python-doctor 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Doctor
Run a deterministic Python audit across four categories: Security, Performance, Correctness, and Architecture.
Primary output is a scored report with sanitized evidence summaries and prioritized remediation actions.
How to use
Read individual rule files for detailed explanations and search patterns.
Conventions
- rules/audit-conventions.md - Audit conventions and shared defaults
Security (13 rules)
- rules/security.md - SEC-01 through SEC-13
- SEC-01: Hardcoded credentials in source
- SEC-02: Shell execution with injection risk
- SEC-03: Unsafe deserialization
- SEC-04: Dynamic code execution
- SEC-05: TLS verification disabled
- SEC-06: Insecure temporary file creation
- SEC-07: Weak randomness in security context
- SEC-08: SQL injection via string formatting
- SEC-09: Binding to all interfaces in production
- SEC-10: Path traversal via unsanitized file paths
- SEC-11: Weak or deprecated hash algorithms for security
- SEC-12: Logging sensitive data
- SEC-13: XML External Entity (XXE) processing
Performance (10 rules)
- rules/performance.md - PERF-01 through PERF-10
- PERF-01: Blocking work inside async functions
- PERF-02: Missing timeout on HTTP requests
- PERF-03: Repeated expensive calls inside loops
- PERF-04: Full-file reads where streaming is safer
- PERF-05: Eager list creation in aggregations
- PERF-06: Regex compilation in hot loops
- PERF-07: String concatenation in loops
- PERF-08: Missing HTTP session reuse
- PERF-09: Quadratic list membership checks
- PERF-10: Unnecessary data copying
Correctness (14 rules)
- rules/correctness.md - COR-01 through COR-14
- COR-01: Mutable default arguments
- COR-02: Bare
except - COR-03: Overly broad
except Exceptionwith weak handling - COR-04: Naive datetime usage
- COR-05:
assertused for runtime validation - COR-06: Comparing to
Nonewith equality operators - COR-07: Mutable class attributes as shared state
- COR-08: Python syntax check failures
- COR-09: Test suite failures
- COR-10: Missing
super().__init__()calls - COR-11:
isused for value comparison - COR-12: Unreachable code after return/raise/break
- COR-13: f-string without interpolation
- COR-14: Shadowing built-in names
What ships with it
8 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.
- 2d ago First seen · 244 lines · 81 tokens per session scan A 572723e911f9
python-doctor is a skill published in the GitHub repository ragnarok22/agent-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 81 tokens to every session and 2,265 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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