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/codex-write-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/codex-write-pr-description)<a href="https://agentmods.dev/skills/tbhb/vale-ai-tells/codex-write-pr-description"><img src="https://agentmods.dev/badge/skills/tbhb/vale-ai-tells/codex-write-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/codex-write-pr-description"><img src="https://agentmods.dev/badge/skills/tbhb/vale-ai-tells/codex-write-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 | $0.00070 | $0.00387 |
| Opus 5 | $0.00035 | $0.00193 |
| Sonnet 5 | $0.00014 | $0.00077 |
| Haiku 4.5 | $0.00007 | $0.00039 |
Grade A, and why
codex-write-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 9d 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.
What it actually says
Write a pull request description
Work only in the repository named by the caller. The task may also carry review findings or a note about new commits. Resolve every supplied finding.
Gather context once:
bash .agents/skills/codex-write-pr-description/scripts/context.sh
Write PR_AGENTDESC.md with exactly these elements: YAML frontmatter containing base, draft, labels, reviewers, assignees, and milestone, followed by a Conventional Commits level-one title. Put every section the repository template declares after the title, in the template's order. Use a nonempty label list drawn from the context.
Describe the whole branch. Keep Summary, Why, Verification, Risk, and Related distinct. Verification names commands actually run. Avoid counts, diff narration, unsupported claims, selling language, and request/session/model/tool provenance. Preserve accurate existing prose during revisions.
Before returning, read the finished draft for closed enumerations and scope words such as only, every, and never. Establish those claims from the branch or weaken them.
Run until clean:
bash .agents/skills/codex-pr/scripts/validate-description.sh
Return only one of:
DRAFT: WRITTEN
changed: <one line per material edit, or first draft>
addressed: <each supplied finding, or nothing requested>
DRAFT: BLOCKED
reason: <decision or missing prerequisite>
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.
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.
- 9d ago First seen · 43 lines · 70 tokens per session scan A 1eec02eeab5e
codex-write-pr-description is a skill published in the GitHub repository tbhb/vale-ai-tells (87 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 387 once invoked, about $0.0003 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
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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…
publish-site
Versioned site deploys to GitHub/Cloudflare/Netlify Pages.
batch
Research and plan a large-scale change, then execute it in parallel across 5–30 isolated worktree agents that each open a PR.
github
GitHub via gh CLI: PRs, issues, reviews, repos, auth.
release-jetbrains
Use when releasing the Kilo JetBrains plugin -- resolve a version ("next rc" or explicit), run the prepare workflow, edit and commit a filtered human-readable changelog on the release PR, then watch publish to completion.