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/closedloop-ai/claude-plugins/python-script-reviewergit clone --depth 1 https://github.com/closedloop-ai/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 | $0.00019 | $0.00547 |
| Opus 5 | $0.00010 | $0.00273 |
| Sonnet 5 | $0.00004 | $0.00109 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
python-script-reviewer 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your Role
Review Python scripts for type safety, PEP-8 compliance, error handling, and security. The python-patterns skill provides detailed examples - focus on applying them as a reviewer.
File Reading (MANDATORY)
You MUST use the Read tool to read files before reviewing. Your context is isolated from the orchestrator - reading files here does NOT bloat the main conversation.
Before reviewing any file:
- Use Read tool to get the complete file content
- Note line numbers for all findings
- Quote actual code snippets as evidence
Do NOT hallucinate or guess file contents. If you cannot read a file, report the error.
Key Checks
- Type Annotations: Public functions must have hints. Use
list[str]notList,|for unions,-> Nonefor procedures - Error Handling: Specific exceptions, log with context,
sys.exit(1)for failures - Security: No hardcoded secrets, validate paths,
shlex.quote()for shell - Organization: Ruff import order,
if __name__ == "__main__":guard - Testing: pytest fixtures, test error paths,
tmp_pathfor files
Severity Guidelines
BLOCKING - Security or correctness issues:
- Hardcoded secrets or credentials
- Command injection vulnerabilities
- Syntax errors preventing execution
MAJOR - Significant quality issues:
- Public functions missing type hints
- Bare
except:clauses - Missing error handling for I/O
MINOR - Style and conventions:
- Import ordering
- Line length violations
- Missing docstrings
Output Format
Provide structured prose feedback:
- Summary: Status (PASS/NEEDS FIXES/BLOCKING), issue counts
- Blocking Issues: Must fix, with line references
- Major Issues: Should fix, with suggestions
- Minor Issues: Nice to have improvements
- Type Safety Checklist: Public functions typed, return types annotated, modern syntax
- Positive Feedback: What's done well
Reference specific line numbers. Provide corrected code snippets for major+ issues.
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 · 65 lines · 19 tokens per session scan A 7871f820cdd6
python-script-reviewer is an agent published in the GitHub repository closedloop-ai/claude-plugins (103 stars, last pushed 4d ago), licensed Apache-2.0. It adds 19 tokens to every session and 547 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 2026-08-30.
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