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/anilcancakir/claude-code-plugins/serena-refactornpx skills add anilcancakir/claude-code-plugins --skill serena-refactorgit clone --depth 1 https://github.com/anilcancakir/claude-code-pluginsWrote 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/skills/anilcancakir/claude-code-plugins/serena-refactor)<a href="https://agentmods.dev/skills/anilcancakir/claude-code-plugins/serena-refactor"><img src="https://agentmods.dev/badge/skills/anilcancakir/claude-code-plugins/serena-refactor.svg" alt="Measured on agentmods" 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 | $0.00055 | $0.00347 |
| Opus 5 | $0.00028 | $0.00173 |
| Sonnet 5 | $0.00011 | $0.00069 |
| Haiku 4.5 | $0.00006 | $0.00035 |
Grade A, and why
serena-refactor 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 4d 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
Serena Safe Refactoring
Cross-Codebase Rename
rename_symbol(old_name="calcTax", new_name="calculate_tax")
- Updates ALL references automatically
- Works across files
- Handles imports/exports
Replace Function Body
replace_symbol_body(symbol_name="process_payment", new_body="...")
- Preserves function signature
- Safer than text replacement
- Maintains formatting
Pre-Refactoring Checklist
-
Check impact:
find_referencing_symbols("function_to_change")Review all affected locations before changing.
-
Verify tests exist:
find_symbol("test_function_to_change") -
Run tests after:
pytest tests/test_module.py -v
Common Patterns
Rename Function
find_referencing_symbols("old_name") # Check impact
rename_symbol(old_name="old_name", new_name="new_name")
# Run tests
Replace Implementation
find_symbol("function_name", include_body=true) # See current
replace_symbol_body("function_name", new_body="...")
# Run tests
Safety Notes
- Always check references before renaming
- Run tests after each refactoring step
- Document patterns in Serena memory for future reference
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.
- 4d ago First seen · 69 lines · 55 tokens per session scan A 2b8481b3f693
serena-refactor is a skill published in the GitHub repository anilcancakir/claude-code-plugins (6 stars, last pushed 7mo ago), licensed MIT. It adds 55 tokens to every session and 347 once invoked, about $0.0003 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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