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 tomzx/agents --skill quick-pr-reviewsgit clone --depth 1 https://github.com/tomzx/agentsWrote 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/tomzx/agents/quick-pr-reviews)<a href="https://agentmods.dev/skills/tomzx/agents/quick-pr-reviews"><img src="https://agentmods.dev/badge/skills/tomzx/agents/quick-pr-reviews/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/tomzx/agents/quick-pr-reviews"><img src="https://agentmods.dev/badge/skills/tomzx/agents/quick-pr-reviews.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 | $0.00046 | $0.01558 |
| Opus 5 | $0.00023 | $0.00779 |
| Sonnet 5 | $0.00009 | $0.00312 |
| Haiku 4.5 | $0.00005 | $0.00156 |
Grade A, and why
quick-pr-reviews 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 6d 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick PR Reviews
Finds all open PRs where you are a requested reviewer, checks each one for new commits since the last quick-pr-review comment, and runs /quick-pr-review on those that have changed. Accepts an optional list of organizations (e.g. acme) or repositories in owner/repo format (e.g. acme/api) to limit the scope. Filters are applied at the GitHub search API level for efficiency.
Prerequisites
ghCLI authenticatedquick-pr-reviewskill available
Workflow
Parse arguments into orgs and repos
|
Build search with --owner / --repo
|
v
For each PR, check existing
<!-- quick-pr-review: marker
|
Commit changed?
/ \
No Yes
| |
Was "Tests pass" |
failing last time? |
/ \ |
No Yes |
| | |
| CI now green? |
| / \ |
| No \ |
| | \ |
Skip Skip /quick-pr-review
<owner/repo> <pr>
Steps
1. Parse arguments and build search command
Separate $@ into two groups:
- Orgs: arguments that do not contain
/(e.g.acme,widgets-inc) - Repos: arguments in
owner/repoformat (contain a/, e.g.acme/api,org/web-app)
Build the gh search prs command as follows:
gh search prs --review-requested @me --state open \
--json number,repository,title \
--limit 100
Append filter flags based on parsed arguments:
- For each org, add
--owner <org> - For each repo, add
--repo <owner/repo>
If no arguments are provided, run the base command without --owner or --repo flags (fetches all review-requested PRs).
This returns a list of PRs. For each entry extract:
REPO:repository.nameWithOwnerPR:number
Then fetch the head commit SHA for each PR:
ghx pr view {PR} --repo {REPO} --json --refresh | jq -r '.headRefOid'
This gives you:
HEAD_COMMIT: the output of the above command
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.
- 6d ago First seen · 179 lines · 46 tokens per session scan A 556f5a8443a0
quick-pr-reviews is a skill published in the GitHub repository tomzx/agents (6 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 1,558 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
review-implement-phase
Implements triaged review actions, commits focused fixes, and posts Done plus resolves threads. Use when the user wants only the implementation phase of the review-framework workflow.
github-pr-workflow
Prepare a GitHub pull request from a feature branch — branch hygiene, commit shape, title/body, verification notes, screenshots for UI work, and replies to review comments.
work-unit-commits
Plan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.
review-delta
Review only changes since last commit using impact analysis. Token-efficient delta review with automatic blast-radius detection.
github-contributor
End-to-end playbook for shipping high-quality pull requests to open-source projects you don't maintain — discovery, CONTRIBUTING compliance, PR-size check, minimal-diff implementation, PR description with AI-assisted disclosure, conflict resolution, and post-submission maintainer interaction. Use whenever creating…
pr-pending-feedback
Evaluate pending (unsubmitted) review comments on the current branch's PR and, after user confirmation, address each in a separate sub-agent and separate commit.