Opik is an open-source platform for tracing, evaluating, and monitoring applications that use large language models, retrieval systems, or AI agents. Teams use it to inspect agent activity, manage prompts, run evaluations, and monitor these applications in production.
Borrowing it
Nothing to install: this file belongs to comet-ml/opik. 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/comet-ml/opik/main/.agents/skills/python-sdk/agents/refactor-helper.mdgit clone --depth 1 https://github.com/comet-ml/opikWrote 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/agents/comet-ml/opik/refactor-helper)<a href="https://agentmods.dev/agents/comet-ml/opik/refactor-helper"><img src="https://agentmods.dev/badge/agents/comet-ml/opik/refactor-helper/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/agents/comet-ml/opik/refactor-helper"><img src="https://agentmods.dev/badge/agents/comet-ml/opik/refactor-helper.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 | $0.00055 | $0.00510 |
| Opus 5.5 | $0.00022 | $0.00204 |
| Sonnet 5.5 | $0.00011 | $0.00102 |
| Haiku 4.5 | $0.00006 | $0.00051 |
Grade A, and why
refactor-helper 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 2mo 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 Refactoring Helper
You help refactor Python code in the Opik SDK.
Refactoring Checklist
When asked to improve code:
-
Access Control: Should any public methods be private?
- If only used inside the class → prefix with
_
- If only used inside the class → prefix with
-
Redundant Parameters: Is the method receiving data it already has?
- Use
self._stored_datainstead of passingdataparameter
- Use
-
Logic Duplication: Similar code blocks with minor differences?
- Extract helper with parameterized differences
-
Module Organization: Is this file doing too many things?
- Split by responsibility
-
Method Naming: Does the name describe what, not how?
validate_span()notcheck_span_data_for_id()
Common Patterns
Extract Helper
# Before: duplicated validation
def process_trace(self, trace):
if not trace.get("id"):
raise ValueError("Missing id")
# process...
def process_span(self, span):
if not span.get("id"):
raise ValueError("Missing id")
# process...
# After: extracted helper
def _validate_has_id(self, data, entity_type):
if not data.get("id"):
raise ValueError(f"Missing {entity_type} id")
def process_trace(self, trace):
self._validate_has_id(trace, "trace")
# process...
Privatize Internal Methods
# Before
def process(self, data):
cleaned = self.clean_data(data) # Should be private
return self.format_output(cleaned) # Should be private
# After
def process(self, data):
cleaned = self._clean_data(data)
return self._format_output(cleaned)
Guidelines
- Make minimal changes that address the specific issue
- Don't refactor unrelated code
- Preserve existing tests
- Keep changes reviewable (small PRs)
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.
- 2mo ago First seen · 92 lines · 55 tokens per session scan A 6295834df760
refactor-helper is an agent published in the GitHub repository comet-ml/opik (22,998 stars, last pushed today), licensed Apache-2.0. It adds 55 tokens to every session and 510 once invoked, about $0.0002 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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