Agent skill

Secondary Text Audit

by rome-os in rome-os/rome

Audit the subordinate copy in a UI — section descriptions, field helper text, hints, card subtitles, empty-state body copy, tooltip bodies — against the secondary-text ruleset, and emit a per-string…

MITAuto-check passedMedia & Creative

Install Secondary Text Audit

skills CLI
$ npx skills add rome-os/rome --skill secondary-text-audit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rome-os/rome secondary-text-audit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rome-os/rome.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/secondary-text-audit .claude/skills/secondary-text-audit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
secondary-text-audit
GitHub stars
748
Token cost
~2.8k tokens
SKILL.md length
1,409 words
Files
2 (incl. scripts)
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

Audit the subordinate copy in a UI — section descriptions, field helper text, hints, card subtitles, empty-state body copy, tooltip bodies — against the secondary-text ruleset, and emit a per-string…

  • Works in 8 steps: Scope the audit → Extract the candidates → Read the ruleset and the voice → …
  • The user asks to review
  • SKILL.md covers Design philosophy (read this —…, Workflow, Division of labor and What this skill does NOT do
  • Runs JavaScript scripts from its folder; calls node and pnpm

What it does

Secondary Text Audit is an agent skill from rome-os/rome. Audit the subordinate copy in a UI — section descriptions, field helper text, hints, card subtitles, empty-state body copy, tooltip bodies — against the secondary-text ruleset, and emit a per-string keep/rewrite/delete verdict table a coding agent can apply. Use this skill whenever the user asks to review, tighten, trim, or clean up UI copy, microcopy, descriptions, helper text, subtitles, hints, or empty states; asks "is this copy necessary?", "does this description earn its place?", "why is our UI so wordy?"…

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts.

It sits in Media & Creative, covering Transcription. The repository describes itself as: A compounding agent OS for recursive agents. Also an open source alternative to Grok Bot and Meta's Muse. The licence is MIT.

When your agent uses it

  • The user asks to review
  • Clean up UI copy
  • Asks is this copy necessary?
  • Does this description earn its place?

Example prompts

  • “is this copy necessary?”
  • “does this description earn its place?”
  • “why is our UI so wordy?”
  • “/secondary-text-audit”

Requirements

  • Node.js

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Scope the audit
  2. Extract the candidates
  3. Read the ruleset and the voice
  4. Establish the rendered context
  5. Run the test per string
  6. Verdict-hardening pass
  7. Emit the report
  8. Applying the verdicts

What it can do on your machine

Read from SKILL.md and the folder at commit 18057a0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • node
    • pnpm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Secondary Text Audit loads about 2.8k tokens when it runs. Until then it costs about 237 tokens; SKILL.md has 1,409 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~237
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from rome-os/rome at commit 18057a0, republished under its MIT licence (© rome-os). 1,409 words, ~2,756 tokens.

Download SKILL.mdSave it as .claude/skills/secondary-text-audit/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
secondary-text-audit
description
Audit the subordinate copy in a UI — section descriptions, field helper text, hints, card subtitles, empty-state body copy, tooltip bodies — against the secondary-text ruleset, and emit a per-string keep/rewrite/delete verdict table a coding agent can apply. Use this skill whenever the user asks to review, tighten, trim, or clean up UI copy, microcopy, descriptions, helper text, subtitles, hints, or empty states; asks "is this copy necessary?", "does this description earn its place?", "why is our UI so wordy?"; wants a settings page or dialog decluttered; or is writing new secondary text and wants it checked before it ships — even if they don't say "audit". For view-level UX behavior (labels, missing states, redundancy, one-primary-action), use ux-semantics-audit; for palette and tokens, use color-audit. This skill owns everything about whether a piece of subordinate copy should exist at all and how it should read.

Secondary-Text Audit

Extract every piece of subordinate copy in a surface and put each one on trial. The ruleset's premise is that secondary text defaults to absent: it exists only to carry information the user needs before acting that the label, the control's shape, and the surrounding context do not already give them. Most shipped secondary text describes what something is, which the label already did. That text goes.

The output is a verdict table, not prose commentary. Every row resolves to keep, rewrite, or delete, and every rewrite carries its replacement string.

Design philosophy (read this — it shapes every judgment call)

  1. Delete is the expected majority outcome. This is the inversion that makes the skill useful. An audit that keeps most of what it finds has not applied the ruleset; it has admired the copy. If your table is mostly keep, re-run the fact test on every keep row and mean it.

  2. Uncertainty resolves to delete, with one exception. When a string sits between delete and rewrite, choose delete — the primary label almost always suffices. This is the opposite of the precision-over-recall bias in ux-semantics-audit, and deliberately so: a wrong keep is permanent noise on the screen.

    The exception is a string carrying a cost, a scope, or a cause. Deleting one of those does not cost a line of copy, it costs the reader the fact that made the screen actionable. When the string tells the user what an action breaks, where a setting stops applying, or why a surface is in a state they did not choose, uncertainty resolves to rewrite. Trim it to the fact and keep it.

  3. Judge the rendered pair, never the key name. A verdict needs the label the user actually sees next to the text. A key called *.description may render as a card subtitle, a tooltip body, a dialog description, or nothing at all.

  4. Fact before verdict. Name which kind of fact the text carries before deciding anything. A string carrying none is delete — that is the rule, not a shortcut.

  5. A rewrite must be a real string. "Tighten this" is not a replacement. Write the sentence that ships, in the register docs/ui/VOICE.md fixes. If you cannot write one that passes the rules, the verdict was delete.

  6. A shorter string is not automatically a better one. Trimming is the means, not the goal. A replacement that reads as a system log has failed even when every word left is load-bearing — check it against VOICE.md before it ships.

Workflow

Step 1 — Scope the audit

The unit of analysis is the surface: a page, tab, dialog, drawer, or self-contained section. Secondary text is judged against what renders beside it, so the scope must be something the user sees at once.

  • Whole package → audit surface by surface; do not emit one 120-row table.
  • A named page ("the settings page", "the app detail page") → that page and the dialogs it opens.
  • New copy the user just wrote → that string plus its label and siblings.
Step 2 — Extract the candidates
bash
node .claude/skills/secondary-text-audit/scripts/extract-secondary-text.mjs --scope settings

The script collects both carriers Rome uses — i18n locale keys under packages/web/src/i18n/locales/<locale>/ and literal strings in *Description components and description= / subtitle= / hint= / helperText= props — pairs each with its label, resolves it back to the component that renders it, and prescreens it. --scope <substr> filters by key or location; --json emits the rows for programmatic use; --root points at another package.

Its flags are advisory triage, not verdicts:

  • forbidden:* and generic-verb are near-certain delete, but confirm the match is real before writing it down.
  • no-signal fires on most rows. It means "re-examine", nothing more — real cost text often has no number.
  • sr-only rows are out of scope entirely. Never delete them.
  • UNRENDERED means no call site was found. Confirm with a grep for the bare key before calling copy dead, then verdict it delete.
  • dynamic-key and key-ref are the weakest resolutions and can over-match: a computed key like connections.headings.${role} matches every sibling under that prefix, including ones the union type never produces. Open the cited line and check the key can really reach this row before trusting it — a row that only resolves this way is a delete candidate hiding behind a wildcard.
  • label-inferred means the label shown is a guess from the key path. Read the component before judging that row.
Step 3 — Read the ruleset and the voice

Read docs/ui/VOICE.md first — it fixes the register, the person, and what a description must carry, and every rewrite row is written in it. Then read docs/ui/secondary-text.md in full. It carries the scope, the five kinds of fact, the four-question test, and the repo rules. Do not audit from memory of the kind names.

Step 4 — Establish the rendered context

For each surface, read the component and write down, before judging anything:

  • the label rendered above/beside each string, verbatim;
  • the siblings rendered on the same screen (this decides every difference verdict);
  • whether the string is conditional — empty-state only, error-only, first-run only (this decides first-step text and pulls error copy out of scope);
  • what the control's shape already says — a toggle, a file input, and a destructive-variant button each carry information the copy need not repeat.

This step is what separates a verdict from a guess. Skipping it produces plausible-sounding tables that are wrong about half the rows.

Show full SKILL.md (524 more words)Show less
Step 5 — Run the test per string

Ask the four questions of every string, in order, stopping at the first failure. Then, for rewrite rows, check that the replacement passes the four questions on its own and obeys VOICE.md.

Step 6 — Verdict-hardening pass

Before emitting, re-examine the table:

  • Every keep — name its kind of fact out loud. If naming it takes a paragraph of justification, it is rewrite or delete.
  • Every rewrite — read the replacement alone, without the original. Does it pass the four questions as a new string? Does it lead with the fact?
  • Every delete — confirm the information is not lost: either it was restatement, or the surviving payload moved into another row's replacement. Say which.
  • Every row — is the label quoted the one that actually renders?
Step 7 — Emit the report

Use exactly this structure:

markdown
# Secondary-Text Audit: <surface>

## Summary
<2-4 sentences: how many strings, the keep/rewrite/delete split, and the single
pattern driving most deletions on this surface.>

## Verdicts

| Location | Label | Secondary text | Fact | Verdict | Replacement |
|---|---|---|---|---|---|

## Notes
<Only rows needing a reason a reader would otherwise dispute: a `keep` that
looks like description, a `delete` whose payload moved elsewhere, a `rewrite`
that changes placement. One line each, referencing the location.>

## Out of scope
<Strings the extractor surfaced that the ruleset excludes — sr-only
descriptions, error messages, placeholders, dev-gallery copy — with the
exclusion that applies. Keeps the next reader from re-litigating them.>

Column rules:

  • Location — file:line of the render site, plus the i18n key when there is one. The applying agent needs both: the key to edit, the line to check.
  • Fact — one of the five kinds, or none.
  • Verdict — keep, rewrite, or delete.
  • Replacement — required for rewrite, empty for delete and keep.

Order rows by render order on the surface, not by verdict. The applying agent walks the file top to bottom, and a reader checking your work walks the screen.

Step 8 — Applying the verdicts

When the user asks for the changes and not just the table:

  • A delete on an i18n key removes it from every locale under packages/web/src/i18n/locales/ — en and zh-CN today. A key deleted from en alone leaves the other locale still rendering the string.
  • A rewrite updates en and marks the other locales for retranslation; do not hand-translate unless the user asks.
  • Deleting the last child of a key object removes the empty parent too.
  • Removing a rendered string usually leaves a dead wrapper element — delete the <p> or the description={...} prop, not just the key.
  • Verify with pnpm typecheck, then look at the surface in the running dashboard. Copy changes are exactly the class of change a type check cannot catch: a deleted key that is still rendered fails at runtime as a raw key string, not at build time.

Division of labor

QuestionSkill
Should this description exist, and how should it read?secondary-text-audit
Does this view have the right labels, states, and emphasis?ux-semantics-audit
Is the palette itself sound?color-audit

The seam with ux-semantics-audit is its consistent-terminology and label-outcome-clarity rules: those judge the label, this skill judges what hangs beneath it. When a description only exists because the label is wrong, say so in Notes and name the ux-semantics-audit follow-up rather than writing a replacement that props up a bad label.

What this skill does NOT do

  • Judge labels, button text, or headings — that is the primary layer.
  • Own tone or brand voice — docs/ui/VOICE.md does. This skill decides whether a string exists and what it must carry; every replacement it writes must obey that file.
  • Rewrite error messages or validation text — different rules, out of scope.
  • Translate. It flags locales that need retranslation; it does not write them.
  • Apply its own verdicts unless asked. The table is the deliverable.

© rome-os, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in .claude/skills/secondary-text-audit of rome-os/rome.

  • SKILL.md
  • scripts/extract-secondary-text.mjs

Open the folder on GitHubat commit 18057a0

Compare with similar skills

Secondary Text Audit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Secondary Text Audit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Secondary Text Audit this skillrome-os/rome748—~2.8kAutomated safety check: PassMIT
HyperFrames Media Useheygen-com/hyperframes60k—~2.4kAutomated safety check: PassApache-2.0
Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image2.6k—~2.4kAutomated safety check: PassMIT
Edu Chem Videowy51ai/edulab1.4k—~2.1kAutomated safety check: NotesApache-2.0
Transcription Memory ReconstructionNxcoreAI/EverRoom3k—~714Automated safety check: PassCustom licence
Edu Math Videowy51ai/edulab1.4k—~2.5kAutomated safety check: NotesApache-2.0

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Questions about Secondary Text Audit

What does Secondary Text Audit do?

Audit the subordinate copy in a UI — section descriptions, field helper text, hints, card subtitles, empty-state body copy, tooltip bodies — against the secondary-text ruleset, and emit a per-string…. Secondary Text Audit is an agent skill from rome-os/rome. Audit the subordinate copy in a UI — section descriptions, field helper text, hints, card subtitles, empty-state body copy, tooltip bodies — against the secondary-text ruleset, and emit a per-string keep/rewrite/delete verdict table a coding agent can apply.

When should I use Secondary Text Audit?

Secondary Text Audit fits situations like: the user asks to review; clean up UI copy; asks is this copy necessary?; does this description earn its place?.

How do I install Secondary Text Audit in Claude Code?

Run `npx skills add rome-os/rome --skill secondary-text-audit -a claude-code`. Or copy the skill folder (.claude/skills/secondary-text-audit in rome-os/rome) into .claude/skills/secondary-text-audit in your project. Claude Code loads it when a task matches its description.

How do I install Secondary Text Audit in Codex?

Run `npx skills add rome-os/rome --skill secondary-text-audit -a codex`. Or copy the skill folder (.claude/skills/secondary-text-audit in rome-os/rome) into .agents/skills/secondary-text-audit in your project. Codex loads it when a task matches its description.

Can I use Secondary Text Audit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rome-os/rome --skill secondary-text-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/secondary-text-audit, .gemini/skills/secondary-text-audit, .github/skills/secondary-text-audit and .opencode/skills/secondary-text-audit in your project.

What does Secondary Text Audit need to run?

Going by SKILL.md and its folder, Secondary Text Audit needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node and pnpm). Our summary lists: Node.js.

Does Secondary Text Audit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Secondary Text Audit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Secondary Text Audit use?

Secondary Text Audit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Secondary Text Audit use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Secondary Text Audit?

Skills that share tags, products or a category with Secondary Text Audit: HyperFrames Media Use (heygen-com/hyperframes, 60k stars), Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.6k stars), Edu Chem Video (wy51ai/edulab, 1.4k stars) and Transcription Memory Reconstruction (NxcoreAI/EverRoom, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Secondary Text Audit?

rome-os (a GitHub organization) maintains it in rome-os/rome, which has 748 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 11, 2026.

Source: rome-os/rome on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.