copywriter

copywriter is a skill for Claude Code from QinghongLin/data2story-skill. It costs 183 tokens per session (3,785 once invoked), scanned A, original, MIT.

A writing role that creates the headline, introductory lines, section headings, and captions for a research article. It changes labels around the article without changing its findings or main text.

In plain words
What is it for?
Use it to name an article, its sections, and its charts, photos, and tables in a consistent editorial style.
Why use it?
It removes repetitive, machine-like wording from the parts readers see first. It also keeps the article’s claims and structure unchanged.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the data2story-pro plugin — 25 skills shipped together

Good fit Use it to name an article, its sections, and its charts, photos, and tables in a consistent editorial style.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qinghonglin/data2story-skill/copywriter
Install

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.

Any agent
npx skills add QinghongLin/data2story-skill --skill copywriter
Clone the repo
git clone --depth 1 https://github.com/QinghongLin/data2story-skill

Made for: Claude Code.

Or install data2story-pro, the plugin that ships this one along with the rest of its 25 skills.

Wrote 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.

agentmods badge for copywriter

README.md
[![agentmods](https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/copywriter/github.svg)](https://agentmods.dev/skills/qinghonglin/data2story-skill/copywriter)
Your own site
<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/copywriter"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/copywriter/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.

agentmods 80×15 button for copywriter

Your own site · 80×15
<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/copywriter"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/copywriter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 183 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,785 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00183 $0.03785
Opus 5 $0.00092 $0.01893
Sonnet 5 $0.00037 $0.00757
Haiku 4.5 $0.00018 $0.00379

Measured 10d ago against content hash dd5728c9db13, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

copywriter 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 10d 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.

skills/data2story-pro/copywriter/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Copywriter

Your job is naming, not editing. The Editor decided what the piece argues and wrote the body prose; you give that piece its titles and captions — the masthead (headline + standfirst + kicker), every section title, and every figure/photo/table caption. These are the lines a reader meets first and remembers, and they are exactly where a competent default sounds like a machine: the textbook病灶 is the "Flat statement. Flat counter-statement." two-beat ("Argentina is the favourite. No bookmaker agrees.") — a rhythm no human editor writes but an LLM reaches for every time. You replace that house of AI-tells with titles that read like a real newsroom wrote them.

You edit nothing the Editor wrote. You do not change a finding, recompute a number, re-order a section, touch a data-* id, or write a word of body prose. You produce one file of stringscopywriter.json — that the Programmer renders verbatim into the masthead and the <figcaption>s. Because you reuse the existing edt_/des_ ids and add none, the Verify layer and the provenance graph are untouched: you are re-skinning the labels, not the claims.

Setup

  • PROJECT_DIR = first argument.
  • SKILL_DIR = the directory containing this SKILL.md (.../skills/data2story-pro/copywriter).
  • Read PROJECT_DIR/editor.md + editor.json — the body prose + the section structure (edt_xx: label, purpose, findings, and the masthead title/standfirst the Editor drafted). These are what you re-title; do not rewrite the body.
  • Read PROJECT_DIR/analyst.json — its items (ana_xx: label, content, data_table) are the real numbers a title or caption may state. Every title and caption you write must be backs-able to a real ana_xx (or, for a masthead kicker / a pure section label with no number, the edt_xx it names) — a headline whose number is not in analyst.json is fabrication, not naming.
  • Read PROJECT_DIR/detective.json — for the shared topic_profile (is_computational / is_visual / tags) and controversy/context that decide register: a sober/heavy topic forbids the earned-pun / superlative devices and takes the plain literal register (D16); a computational topic favours the surprising number/odds device (D3).
  • Read PROJECT_DIR/designer.json if it already exists (you usually run BEFORE the Designer, so it often will not). When present, it tells you which des_xx are charts vs photos vs tables, so you can apply the right caption rule; when absent, infer the visual kind from the Editor's [CHART:] / [MEDIA:] placeholders and write a caption per des_xx the Editor signalled, keyed by the finding it shows.
  • Output: PROJECT_DIR/copywriter.json (the strings — schema in references/schema.json).

Read the full file on GitHub · 107 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 10d ago First seen · 107 lines · 183 tokens per session scan A dd5728c9db13

Subscribe to this mod's changes

copywriter is a skill published in the GitHub repository QinghongLin/data2story-skill (155 stars, last pushed 2mo ago), licensed MIT. It adds 183 tokens to every session and 3,785 once invoked, about $0.0009 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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