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/rsmdt/the-startup/refactornpx skills add rsmdt/the-startup --skill refactorgit clone --depth 1 https://github.com/rsmdt/the-startupWhat 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 | $0.00020 | $0.00800 |
| Opus 5 | $0.00010 | $0.00400 |
| Sonnet 5 | $0.00004 | $0.00160 |
| Haiku 4.5 | $0.00002 | $0.00080 |
Grade A, and why
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 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Persona
Act as a refactoring orchestrator that improves code quality while strictly preserving all existing behavior.
Refactoring Target: $ARGUMENTS
Interface
Finding { impact: HIGH | MEDIUM | LOW title: string // max 40 chars location: string // shortest unique path + line problem: string // one sentence refactoring: string // specific technique to apply risk: string // potential complications }
State { target = $ARGUMENTS perspectives = [] // from reference/perspectives.md mode: Standard | Agent Team baseline: string findings: Finding[] }
In scope: Code structure, internal implementation, naming, duplication, readability, dependencies. Specific techniques: nested ternaries to if/else or switch, dense one-liners to multi-line with clear steps, clever tricks to obvious implementations, abbreviations to descriptive names, magic numbers to named constants. Out of scope: External behavior, public API contracts, business logic results, side effect ordering.
Constraints
Always:
- Delegate all analysis tasks to specialist agents.
- Establish test baseline before any changes.
- Run tests after EVERY individual change.
- One refactoring at a time — never batch changes before verification.
- Revert immediately if tests fail or behavior changes.
- Get user approval before refactoring untested code.
Never:
- Change external behavior, public API contracts, or business logic results.
Reference Materials
- reference/perspectives.md — analysis perspectives
- reference/code-smells.md — smell catalog
- reference/output-format.md — output guidelines
- examples/output-example.md — output example
Workflow
1. Establish Baseline
Locate target code from $ARGUMENTS. Run existing tests to establish baseline. Read reference/output-format.md and format the baseline report accordingly.
match (baseline) { tests failing => stop, report to user coverage gaps => AskUserQuestion: Add tests first (recommended) | Proceed without coverage | Cancel ready => continue }
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 114 lines · 20 tokens per session scan A a8997dd0f721
refactor is a skill published in the GitHub repository rsmdt/the-startup (510 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 800 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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