A project-specific procedure for creating a draft pull request on GitHub. A draft pull request is a proposed code change that is not yet ready for final review.

Pushing a branch and opening a draft pull request for the Vision-Agents repository with the required explanation and change summary.

It gives the agent a fixed checklist for checking commits, running the required checks, updating release notes and preparing the request correctly. This reduces missed project rules before review.

pr — Skill by GetStream

Install

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.

agentmods

npx agentmods add skills/getstream/vision-agents/pr

Any agent

npx skills add GetStream/Vision-Agents --skill pr

Clone the repo

git clone --depth 1 https://github.com/GetStream/Vision-Agents

Made for: Claude Code, Codex.

Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 366 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00017	$0.00366
Opus 5	$0.00009	$0.00183
Sonnet 5	$0.00003	$0.00073
Haiku 4.5	$0.00002	$0.00037

Measured yesterday against content hash c2fb8fe02ce6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr 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 yesterday.

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/pr/SKILL.md · 23 lines

What it actually says

Pull Request (Vision-Agents)

Before creating

Run git log main..HEAD --oneline. If the branch contains more than one independent logical change, STOP and ask the user whether to split it before proceeding.
Run uv run --no-sync dev.py check. Skip if the diff does not touch Python code (*.py) or pyproject.toml — e.g. docs-only, .gitignore, .github/, or .claude/ changes.
Do not run integration tests locally, CI handles them.
If the change is user-facing (public API break, new feature, bug fix), update CHANGELOG.md per the rules in CLAUDE.md.

Creating

Always gh pr create --draft. Push the branch first.
Follow .github/pull_request_template.md. Read every commit on the branch, do not summarise from the latest commit alone.
## Why is motivation + context. ## Changes, if included, is high-level; never per-bullet justifications, those belong in ## Why.
Link public GitHub issues inline within ## Why (e.g. "users reported X (#478)"), not as a trailing Fixes #N.
Do not paste CI, lint, or tool output in the body.
Do not hard-wrap paragraphs. GitHub renders each newline inside a paragraph as a visible line break, so a 72-column-wrapped paragraph becomes a staircase. Write each paragraph or bullet as one unbroken line; rely on the browser to soft-wrap. Only use newlines to separate paragraphs, list items, or block elements.

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.

yesterday First seen · 23 lines · 17 tokens per session scan A c2fb8fe02ce6

Subscribe to this mod's changes

pr is a skill published in the GitHub repository GetStream/Vision-Agents (8,104 stars, last pushed 4d ago), licensed Apache-2.0. It adds 17 tokens to every session and 366 once invoked, about $0.0001 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.

Code review Git and workflow agentic-ai ai ai-agents video-agents vision-ai voice ai

agent-code-analyzer

Agent skill for code-analyzer - invoke with $agent-code-analyzer.

ruvnet/ruflo · 19 tokens

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

pr

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

Pull Request (Vision-Agents)

Before creating

Creating

What this file has done since we first saw it

Other skills, from other repositories

agent-code-analyzer

foundry-config-setup

evolve

agile-product-owner

agent-memory

peekaboo