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.
curl -O https://raw.githubusercontent.com/tbhb/vale-ai-tells/main/.claude/skills/review-pr-description/SKILL.mdgit clone --depth 1 https://github.com/tbhb/vale-ai-tellsWrote 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/tbhb/vale-ai-tells/review-pr-description)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00086 | $0.01526 |
| Opus 5 | $0.00043 | $0.00763 |
| Sonnet 5 | $0.00017 | $0.00305 |
| Haiku 4.5 | $0.00009 | $0.00153 |
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.
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 draftsed -n '/^base:/p' "$REPO/PR_AGENTDESC.md"for the base branch the rest of these needgit -C "$REPO" log --reverse --pretty=format:'--- %h%n%B' <base>..HEADfor the commits that would landgit -C "$REPO" diff --name-status <base>...HEADfor the pathsgit -C "$REPO" diff <base>...HEADfor the diff itselfcat "$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.
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.
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.
- 12d ago First seen · 128 lines · 86 tokens per session scan A 273af83c04f4
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.
Other skills, from other repositories
anti-slop
Remove AI slop from any voice-bearing prose — original posts, threads, articles, long-form, emails, docs, READMEs, marketing copy, bios, scripts. Use when drafting text meant to sound like a specific person or brand, when rewriting text that reads generic, corporate, or AI-generated, or when asked to humanize…
kill-slop
Audit a file or draft for AI slop and off-voice lines against the author's bound voice, report findings with in-voice swaps, then apply approved fixes. Use when the user says "kill slop", "/kill-slop [file]", "find the slop in this", "audit this for slop", or wants a deck, article, page, or draft cleaned to sound like…
code-review
Review the current diff, or a PR number/branch/path target, for correctness bugs and reuse/simplification/efficiency cleanups at the given effort level (low/medium: fewer, high-confidence findings; high→max: broader coverage, may include uncertain findings; ultra: deep multi-agent review in the cloud); with no level…
github
GitHub via gh CLI: PRs, issues, reviews, repos, auth.
github
GitHub operations via gh CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available)…
fulcra-agent-forge
Bridge GitHub into a fulcra-agent-teams review flow: mirror PR state onto the team store as evidence, and auto-approve a review when its PR merges — so review status reflects the forge even when no human files a verdict.