Borrowing it
Nothing to install: this file belongs to jeetkhinde/ai-stack. 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/jeetkhinde/ai-stack/master/.gemini/skills/refactor-safely/SKILL.mdgit clone --depth 1 https://github.com/jeetkhinde/ai-stackWrote 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/jeetkhinde/ai-stack/refactor-safely)<a href="https://agentmods.dev/skills/jeetkhinde/ai-stack/refactor-safely"><img src="https://agentmods.dev/badge/skills/jeetkhinde/ai-stack/refactor-safely/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/skills/jeetkhinde/ai-stack/refactor-safely"><img src="https://agentmods.dev/badge/skills/jeetkhinde/ai-stack/refactor-safely.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 | $0.00015 | $0.00276 |
| Opus 5.5 | $0.00006 | $0.00110 |
| Sonnet 5.5 | $0.00003 | $0.00055 |
| 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 14d 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.
This is a copy
89% identical to refactor-safely — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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_changesto verify the refactoring impact.
Safety Checks
- Always preview before applying (rename mode gives you an edit list).
- Check
get_impact_radiusbefore major refactors. - Use
get_affected_flowsto 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.
- 14d ago First seen · 29 lines · 15 tokens per session scan A 38709ddb2e0e
refactor-safely is a skill published in the GitHub repository jeetkhinde/ai-stack (0 stars, last pushed 20d ago), licensed MIT. It adds 15 tokens to every session and 276 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to refactor-safely, differing in 6 lines, and is treated as a copy.
Other skills, from other repositories
autoreview
Structured code review through the shared OpenClaw agent-skills installation.
omh-code-review
This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
asplos-writing-style
Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…
explore-unknowns
Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…
re0-merge
Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…