finalize-feature

A release workflow for finishing a software feature by creating a branch, saving the changes in Git, and opening a pull request for review.

In plain words
What is it for?
Use it when a feature is ready to ship, commit, or turn into a pull request.
Why use it?
It keeps the checks and delivery steps together, reducing missed tests, security scans, commits, or pull-request details.

Cursor rule for Cursor

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 rules/janekbaraniewski/openusage/finalize-feature
Clone the repo
git clone --depth 1 https://github.com/janekbaraniewski/openusage

Made for: Cursor.

Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 161 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.

ModelPer sessionOnce invoked
Fable 5 $0.00033 $0.00161
Opus 5 $0.00016 $0.00081
Sonnet 5 $0.00007 $0.00032
Haiku 4.5 $0.00003 $0.00016

Measured 2d ago against content hash 68d145477a21, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

finalize-feature 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 2d 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.

.cursor/skills/finalize-feature.mdc · 17 lines

What it actually says

@docs/skills/finalize-feature/SKILL.md contains the full skill specification. Read and follow it completely.

The user's request is to finalize the feature "$ARGUMENTS".

Follow all phases in order:

  1. Phase 0: Pre-flight checks (build, vet, tests, scan for secrets)
  2. Phase 1: Create feature branch
  3. Phase 2: Stage and commit with conventional message
  4. Phase 3: Push and create PR via gh
  5. Phase 4: Final checklist with branch, commit, PR URL
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. 2d ago First seen · 17 lines · 33 tokens per session scan A 68d145477a21

Subscribe to this mod's changes

finalize-feature is a cursor rule published in the GitHub repository janekbaraniewski/openusage (180 stars, last pushed 9d ago), licensed MIT. It adds 33 tokens to every session and 161 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 2026-08-30.