platform: Skill for Claude Code

.claude/skills/prs/SKILL.md

prs is a skill for Claude Code from dashpay/platform. It costs 67 tokens per session (712 once invoked), scanned A, original, MIT.

A pull-request queue reporter for showing which code reviews are waiting, what blocks each request, how long it has waited, and how many review slots are occupied.

In plain words
What is it for?
Use it to inspect review queues across the listed repositories, identify stale or blocked pull requests, and distinguish author work, bot work, and access problems.
Why use it?
It replaces scattered repository checks with a consistent view of pending reviews and the next action needed from each author or reviewer.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is dashpay/platform's own configuration. It tells Claude Code how to work on platform 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 platform configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dashpay/platform. 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/dashpay/platform/v5.1-dev/.claude/skills/prs/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/dashpay/platform

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 prs

README.md
[![agentmods](https://agentmods.dev/badge/skills/dashpay/platform/prs/github.svg)](https://agentmods.dev/skills/dashpay/platform/prs)
Your own site
<a href="https://agentmods.dev/skills/dashpay/platform/prs"><img src="https://agentmods.dev/badge/skills/dashpay/platform/prs/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 prs

Your own site · 80×15
<a href="https://agentmods.dev/skills/dashpay/platform/prs"><img src="https://agentmods.dev/badge/skills/dashpay/platform/prs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 712 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.
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 $0.00067 $0.00712
Opus 5.5 $0.00027 $0.00285
Sonnet 5.5 $0.00013 $0.00142
Haiku 4.5 $0.00007 $0.00071

Measured 10d ago against content hash bcfa11433dd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prs 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.

.claude/skills/prs/SKILL.md · 19 lines

What it actually says

PRs

Use the shared policy reporter in dashpay/stale_prs_are_bad. Clone or locate that repository ($PR_REVIEW_HOME if set, else gh repo clone dashpay/stale_prs_are_bad into a temporary directory) and read its guides/PR_REVIEW_ARCHITECTURE.md for the policy and guides/PR_REVIEW_OPERATIONS.md for setup and limitations.

  1. Resolve the current GitHub user with gh api user --jq .login, unless the user names another reviewer.
  2. From that checkout's root run python3 -m pr_review.aggregate report --user USER. For structured output add --format json; to limit repositories add --repo dashpay/REPOSITORY. For one PR run python3 -m pr_review.main report --repo dashpay/REPOSITORY --pr NUMBER; the policy comes from that checkout's policies/.
  3. Present two sections. First, what is waiting on this person to review: oldest first, with links, their part and the next action. Their part is what the report prints after your part: — each area they may approve that nobody has approved on the current head, with who else may approve it instead (one approval per area is enough), and re-review or resolve your objection where an objection of theirs is still open. From --format json, take the approvals entries with owned false, empty approved_by and the person in approvers (case-insensitive), plus a re-review when they are in objectors. Second, their own pull requests and what each is blocked on — a bot that has not reported, an unresolved bot thread, a change request, a missing self-review, or a slot that is still queued. Use repository-qualified PR identifiers. Distinguish author action, bot work, missing access, and the five-PR admission queue within each repository. Combined totals above five are workload warnings, not a global hard cap.
  4. Waiting time is the current recorded human-review cycle. If no controller state exists, say the age is not recorded. Do not equate total PR age with review waiting time.
  5. The report knows the build only as one verdict for the current head — green, running or failed, from its check runs and statuses — which gates the review request. State it only as the row's blockers do; to see which check failed, read the checks directly.

This command is read-only. It does not perform the code review itself. Never post /self-reviewed, submit an approval, request reviewers, change labels, or send Slack messages merely because this skill was invoked. Author self-review is a personal attestation after inspecting the current diff and bot outcomes; it cannot be inferred from a bot run.

If any repository evidence is incomplete or inaccessible, name that repository and state that totals are partial. Preview policy rows are computed recommendations, not live enforcement. Report the error. Do not invent readiness or approval. Report preview results as computed policy, not proof that repository enforcement has been activated.

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. 10d ago Changed bcfa11433dd2
  2. 1mo ago First seen · 19 lines · 67 tokens per session scan A 8f54e21df259

Subscribe to this mod's changes

prs is a skill published in the GitHub repository dashpay/platform (93 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 712 once invoked, about $0.0003 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 2026-09-17.