vale-ai-tells: Skill for Claude Code

.claude/skills/review-pr-description/SKILL.md

review-pr-description is a skill for Claude Code from tbhb/vale-ai-tells. It costs 86 tokens per session (1,526 once invoked), scanned A, original, MIT.

An independent review workflow for a drafted GitHub pull request description. It compares the draft with the branch's commits, changed files, diff, base branch, and pull-request template.

In plain words
What is it for?
Use it to review PR_AGENTDESC.md before publication and receive a verdict on whether the description accurately represents the changes.
Why use it?
It catches claims the code does not support, incorrect counts, unnecessary repetition, missing provenance, and titles that describe only part of the branch.

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/review-pr-description/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 review-pr-description

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tbhb/vale-ai-tells/review-pr-description"><img src="https://agentmods.dev/badge/skills/tbhb/vale-ai-tells/review-pr-description.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,526 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 $0.00086 $0.01526
Opus 5 $0.00043 $0.00763
Sonnet 5 $0.00017 $0.00305
Haiku 4.5 $0.00009 $0.00153

Measured 12d ago against content hash 273af83c04f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

review-pr-description 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 12d 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.

.claude/skills/review-pr-description/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review a drafted pull request description

Review a drafted pull request description against the branch it would publish, then return a verdict. You're the independent check. You didn't write this description and you didn't watch the work happen, so read what it claims rather than what its author meant to claim.

The repository

$ARGUMENTS

Treat that path as the repository under review. An empty value means the current working directory. Bind it once and use it throughout:

REPO="${ARGUMENTS:-$(pwd)}"

Gather the inputs

Run these before judging anything:

  • cat "$REPO/PR_AGENTDESC.md" for the draft
  • sed -n '/^base:/p' "$REPO/PR_AGENTDESC.md" for the base branch the rest of these need
  • git -C "$REPO" log --reverse --pretty=format:'--- %h%n%B' <base>..HEAD for the commits that would land
  • git -C "$REPO" diff --name-status <base>...HEAD for the paths
  • git -C "$REPO" diff <base>...HEAD for the diff itself
  • cat "$REPO/.github/pull_request_template.md" for what each section is asking

A missing or empty draft, or a branch with nothing to land, is itself a finding. Report it and stop.

What's already settled

The writer runs a mechanical validator until it reports nothing before handing you anything, and the caller runs it again afterwards, so leave its rules alone. It has already settled:

  • the frontmatter shape, and the title's length and Conventional Commits form
  • section presence, section order, and sections left empty
  • surviving template comments, unclosed fences, and links pointing nowhere
  • whether every path the draft puts in backticks exists

Repeating any of that wastes the round trip.

Read the diff instead. Your job starts where looking at the file stops.

What to check

Work these four groups. Every finding names the exact offending text and the fix.

Truthfulness

The description covers this branch and no other.

  • Flag any claim the diff doesn't support. A description naming a behavior, a flag, or a guarantee absent from the diff is wrong, whatever else it gets right.
  • Flag counts of any kind: files, lines, tests, commits, percentages. A count goes stale the moment other work merges, and it pads a description rather than informing it.
  • Flag results nobody verified. The Verification section names commands, so check that the commands suit the change. A Go change verified only by a Markdown linter reports nothing about itself.
  • Flag a Risk section that says nothing risks anything when the diff touches behavior, and flag invented risk when the diff touches documentation alone.

Read the full file on GitHub · 128 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. 12d ago First seen · 128 lines · 86 tokens per session scan A 273af83c04f4

Subscribe to this mod's changes

review-pr-description is a skill published in the GitHub repository tbhb/vale-ai-tells (93 stars, last pushed 2d ago), licensed MIT. It adds 86 tokens to every session and 1,526 once invoked, about $0.0004 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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