Borrowing it
Nothing to install: this file belongs to ReScienceLab/TrySkills. 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/ReScienceLab/TrySkills/main/.agents/skills/polish/SKILL.mdgit clone --depth 1 https://github.com/ReScienceLab/TrySkillsWrote 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/resciencelab/tryskills/polish)<a href="https://agentmods.dev/skills/resciencelab/tryskills/polish"><img src="https://agentmods.dev/badge/skills/resciencelab/tryskills/polish/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/resciencelab/tryskills/polish"><img src="https://agentmods.dev/badge/skills/resciencelab/tryskills/polish.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 | $0.00050 | $0.02138 |
| Opus 5.5 | $0.00020 | $0.00855 |
| Sonnet 5.5 | $0.00010 | $0.00428 |
| Haiku 4.5 | $0.00005 | $0.00214 |
Grade A, and why
polish 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 1mo 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
91% identical to polish — 28 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.
How it starts
The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MANDATORY PREPARATION
Invoke /impeccable — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /impeccable teach first. Additionally gather: quality bar (MVP vs flagship).
Perform a meticulous final pass to catch all the small details that separate good work from great work. The difference between shipped and polished.
Design System Discovery
Before polishing, understand the system you are polishing toward:
- Find the design system: Search for design system documentation, component libraries, style guides, or token definitions. Study the core patterns: color tokens, spacing scale, typography styles, component API.
- Note the conventions: How are shared components imported? What spacing scale is used? Which colors come from tokens vs hard-coded values? What motion and interaction patterns are established?
- Identify drift: Where does the target feature deviate from the system? Hard-coded values that should be tokens, custom components that duplicate shared ones, spacing that doesn't match the scale.
If a design system exists, polish should align the feature with it. If none exists, polish against the conventions visible in the codebase.
Pre-Polish Assessment
Understand the current state and goals:
-
Review completeness:
- Is it functionally complete?
- Are there known issues to preserve (mark with TODOs)?
- What's the quality bar? (MVP vs flagship feature?)
- When does it ship? (How much time for polish?)
-
Identify polish areas:
- Visual inconsistencies
- Spacing and alignment issues
- Interaction state gaps
- Copy inconsistencies
- Edge cases and error states
- Loading and transition smoothness
CRITICAL: Polish is the last step, not the first. Don't polish work that's not functionally complete.
Polish Systematically
Work through these dimensions methodically:
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.
- 1mo ago First seen · 224 lines · 50 tokens per session scan A 8d9749d77b82
polish is a skill published in the GitHub repository ReScienceLab/TrySkills (3 stars, last pushed 5mo ago), licensed MIT. It adds 50 tokens to every session and 2,138 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to polish, differing in 28 lines, and is treated as a copy.
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