vale-ai-tells: Skill for Claude Code

.claude/skills/write-prose-fix/SKILL.md

write-prose-fix is a skill for Claude Code from tbhb/vale-ai-tells. It costs 26 tokens per session (2,477 once invoked), scanned A, original, MIT.

A document rewording tool that changes prose until the specified lint checks pass, while preserving the document's meaning and factual details.

In plain words
What is it for?
Use it to clean up one document after a prose-lint failure when the content itself must remain unchanged.
Why use it?
It fixes wording problems without changing numbers, names, paths, identifiers, or the claims already approved.

Skill for Claude Code

Written for Claude Code: background in frontmatter. Also seen: agent in frontmatter.

This is tbhb/vale-ai-tells's own configuration. It tells Claude Code how to work on vale-ai-tells itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything vale-ai-tells configures →

Reuse

Borrowing it

Nothing to install: this file belongs to tbhb/vale-ai-tells. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/tbhb/vale-ai-tells/main/.claude/skills/write-prose-fix/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/tbhb/vale-ai-tells

Made for: Claude Code.

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 write-prose-fix

README.md
[![agentmods](https://agentmods.dev/badge/skills/tbhb/vale-ai-tells/write-prose-fix/github.svg)](https://agentmods.dev/skills/tbhb/vale-ai-tells/write-prose-fix)
Your own site
<a href="https://agentmods.dev/skills/tbhb/vale-ai-tells/write-prose-fix"><img src="https://agentmods.dev/badge/skills/tbhb/vale-ai-tells/write-prose-fix/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 write-prose-fix

Your own site · 80×15
<a href="https://agentmods.dev/skills/tbhb/vale-ai-tells/write-prose-fix"><img src="https://agentmods.dev/badge/skills/tbhb/vale-ai-tells/write-prose-fix.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,477 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 $0.00026 $0.02477
Opus 5 $0.00013 $0.01239
Sonnet 5 $0.00005 $0.00495
Haiku 4.5 $0.00003 $0.00248

Measured 11d ago against content hash da29ee08247b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

write-prose-fix 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/context.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/write-prose-fix/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reword until the prose lint passes, and change nothing else

Reword one file until its linters report nothing. Someone has already decided what the document says, and that part stays fixed. Change how it reads, and only as far as the findings require.

Context

!bash ${CLAUDE_SKILL_DIR}/scripts/context.sh $ARGUMENTS

The one rule

Leave the meaning alone. Every claim the document makes survives your pass intact, and so does every number, path, identifier, and name in it.

A finding you can only clear by saying something different is a finding you leave alone. Report it instead. Inventing a claim to please a linter is the worst outcome available here, because it reads as clean and puts words into the document that nobody wrote.

Reword. Don't rewrite.

Your inputs

$ARGUMENTS carries the target first, then the command that judges it. Anything after a -- is what the caller wants addressed, which on a second pass is the findings review-prose-fix returned. Treat those as the work: resolve each and say so.

The context below already ran the command and printed the document, so the findings and the text are both in front of you. Don't re-run the command to see them again.

The loop

  1. Read the findings in the preceding context. Count them.
  2. Fix the whole list in one editing pass, cheapest findings first, editing only the target.
  3. Run the lint command again. Compare the count.

Never re-run after one edit. Each round costs the same whether it clears one finding or twelve, and the session behind this skill spent half its Bash calls on linters it re-ran a fix at a time.

Stop at any of these:

  • The command prints nothing, having printed something earlier. Read the next section before you trust that.
  • The count fails to drop across two runs in a row.
  • A finding you already cleared comes back. Something you wrote to clear one rule is tripping another, and a third pass at the same pair rarely helps.
  • The loop has run five times.

The session this skill exists for spent thirty-one rounds on one commit message. Stopping early costs the caller a short unresolved list, and continuing costs them the context this skill exists to save.

Read the full file on GitHub · 183 lines

Files

What ships with it

2 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.

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. 11d ago First seen · 183 lines · 26 tokens per session scan A da29ee08247b

Subscribe to this mod's changes

write-prose-fix is a skill published in the GitHub repository tbhb/vale-ai-tells (92 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 2,477 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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