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.
npx skills add gohypergiant/agent-skills --skill pr-descriptiongit clone --depth 1 https://github.com/gohypergiant/agent-skillsWrote 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/gohypergiant/agent-skills/pr-description)<a href="https://agentmods.dev/skills/gohypergiant/agent-skills/pr-description"><img src="https://agentmods.dev/badge/skills/gohypergiant/agent-skills/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/gohypergiant/agent-skills/pr-description"><img src="https://agentmods.dev/badge/skills/gohypergiant/agent-skills/pr-description.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00149 | $0.03368 |
| Opus 5.5 | $0.00060 | $0.01347 |
| Sonnet 5.5 | $0.00030 | $0.00674 |
| Haiku 4.5 | $0.00015 | $0.00337 |
Grade A, and why
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 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.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Description
Write a PR as durable engineering context, not a narrated diff. The reader should understand the problem, the argument for the chosen mechanism, the contract it relies on, and the evidence without knowing this part of the codebase.
Use plain technical English. Name the actual object — a function, type, flag, file, or parameter — instead of an abstract noun that stands in for it; a noun ending in -ion, -ity, -ment, -ance, or -ence that could be replaced by the real identifier it refers to is a tell. Give each sentence one job: a sentence that states a cause, a qualification, and a scope boundary at once should become two sentences. Plain does not mean vague, casual, or stripped of necessary detail — qualify claims to their evidence and keep the one term the reader needs; just say it plainly.
Avoid: "This makes provider selection, the lifecycle instance type, and the dependency implicit." Write: "Callers must now choose the provider and lifecycle instance explicitly; nothing infers them."
Use assets/pr-description-template.md as the output skeleton. For source-grounded calibration facts while drafting, load references/pr-writing-calibration.md; use it to decide what to say, not how to phrase it, and do not reuse its vocabulary unless the repository's own conventions already use it. Load the deeper analysis in references/react-pr-findings.md and the criterion-by-criterion references/pr-description-rubric.md only to grade a draft before delivery or when the user asks for a review — their denser register is calibration for review, not a drafting voice to imitate.
Never do this
- Never start with a file list or a past-tense edit summary. It makes the reviewer reconstruct the motivation from the diff and leaves no durable explanation in git history.
- Never invent a test result, benchmark, issue, design decision, or baseline. If evidence is unavailable, say what remains unrun or unknown; a plausible number is worse than no number.
- Never state a performance claim without provenance. Name the metric, workload or fixture, hardware or environment, sample size when relevant, and the command, report, or CI run that produced it.
- Never make a conditional bet sound settled. State the decision rule and what observation would falsify the bet before reporting its result.
- Never present a scaffold, experiment, or theoretical performance claim as production-complete. State its status, remaining evidence gap, and the containment mechanism that exists today.
- Never make safety, compatibility, or fallback behavior discoverable only in review comments. If the change touches global state, platform behavior, hydration, serialization, or interoperability, state what changes, what remains invalid or untouched, and what happens in restricted or failure environments.
- Never use a heading with only a restated diff bullet beneath it. The diff already records filenames and edits.
- Never paraphrase a signature, call pattern, or exact wording in prose when the literal form is available and the reader needs to see it. A quoted span is evidence; a sentence describing it is not a substitute.
- Never turn a small fix into an essay. A sentence or short paragraph is sufficient when the behavior, reason, bound, and evidence fit there.
- Never omit an important scope boundary. Say which similar-looking behavior is deliberately unchanged and where a necessary follow-up belongs.
- Never override the repository's PR template, contribution rules, or title convention. Their required fields and placement win; use this skill's prose inside that structure.
- Never use merge-commit subjects, messages, or inherited target-branch history as PR narrative evidence. A
git pull origin <target>merge may appear in branch history, but the PR title and body must describe only branch-authored non-merge history and the net changes in the three-dot diff.
What ships with it
8 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.
- 10d ago Changed · +5 lines c1b8035be765
- 11d ago First seen · 134 lines · 149 tokens per session scan A 0a0ebec4da91
pr-description is a skill published in the GitHub repository gohypergiant/agent-skills (25 stars, last pushed 2d ago), licensed Apache-2.0. It adds 149 tokens to every session and 3,368 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-10-08.
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