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 commands/mathisk2095/jko-claude-plugins/py-structuregit clone --depth 1 https://github.com/mathisk2095/jko-claude-pluginsWhat 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 | $0.00023 | $0.00416 |
| Opus 5 | $0.00012 | $0.00208 |
| Sonnet 5 | $0.00005 | $0.00083 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
py-structure 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.
What it actually says
Analyze the Python backend project structure and recommend improvements. If $ARGUMENTS is provided, analyze that directory. Otherwise auto-detect src/ or backend/.
First: Use the python-backend-expert skill. Read references/project-structure.md and references/architecture.md.
Analysis Steps
-
Map the project:
- List all Python files with line counts
- Identify the architectural pattern (hexagonal, layered, flat, feature-based)
- Detect framework (Litestar/FastAPI)
-
File size audit:
- Flag files >300 lines (candidate for split)
- Flag files >500 lines (must split)
- For each oversized file, suggest specific split strategy
-
Layer boundary check:
- Verify domain has no infrastructure imports
- Verify entrypoints don't import from infrastructure directly (except through DI)
- Check for circular import risks
-
Module organization check:
- One major class per file?
- Logical grouping by domain?
- Proper
__init__.pyre-exports? - Import order following convention?
-
Missing components:
- Missing domain entities (using ORM models directly)?
- Missing ports/protocols?
- Missing service layer?
- Missing exception hierarchy?
Output
Current Structure
Tree view with line counts and layer annotations.
Structure Score: X/10
Issues Found
Ordered by impact, with specific file moves/splits/creates recommended.
Recommended Structure
If the current structure needs major changes, show the ideal target layout.
Migration Steps
If restructuring is needed, provide step-by-step plan that keeps the app working at each step.
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 · 56 lines · 23 tokens per session scan A d549af36790a
py-structure is a command published in the GitHub repository mathisk2095/jko-claude-plugins (3 stars, last pushed 4d ago), licensed MIT. It adds 23 tokens to every session and 416 once invoked, about $0.0001 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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status
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Run OpenAI Codex code review on current changes or a specific branch/commit.
stats
Show statistics for saved conversation files.
close
Close out a Linear issue — move to Done, add a closing comment, and clean up the local branch/worktree.
prompt
Convert a rough ask into a structured XML-tagged prompt using the factory-prompting vocabulary.
submit
Move the current branch's Linear issue to In Review.