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/thangchung/agent-engineering-experiment/refactor-safelynpx skills add thangchung/agent-engineering-experiment --skill refactor-safelygit clone --depth 1 https://github.com/thangchung/agent-engineering-experimentWrote 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/thangchung/agent-engineering-experiment/refactor-safely)<a href="https://agentmods.dev/skills/thangchung/agent-engineering-experiment/refactor-safely"><img src="https://agentmods.dev/badge/skills/thangchung/agent-engineering-experiment/refactor-safely.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 | $0.00015 | $0.00279 |
| Opus 5 | $0.00008 | $0.00139 |
| Sonnet 5 | $0.00003 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
refactor-safely 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- refactor-safely — 100% identical, 2 lines differ
What it actually says
Refactor Safely
Use the knowledge graph to plan and execute refactoring with confidence.
Steps
- Use
refactor_toolwith mode="suggest" for community-driven refactoring suggestions. - Use
refactor_toolwith mode="dead_code" to find unreferenced code. - For renames, use
refactor_toolwith mode="rename" to preview all affected locations. - Use
apply_refactor_toolwith the refactor_id to apply renames. - After changes, run
detect_changes_toolto verify the refactoring impact.
Safety Checks
- Always preview before applying (rename mode gives you an edit list).
- Check
get_impact_radius_toolbefore major refactors. - Use
get_affected_flows_toolto ensure no critical paths are broken. - Run
find_large_functionsto identify decomposition targets.
Token Efficiency Rules
- ALWAYS start with
get_minimal_context(task="<your task>")before any other graph tool. - Use
detail_level="minimal"on all calls. Only escalate to "standard" when minimal is insufficient. - Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.
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 · 29 lines · 15 tokens per session scan A ab9d9f653e75
refactor-safely is a skill published in the GitHub repository thangchung/agent-engineering-experiment (24 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 279 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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