commit

A change-review and commit workflow for turning code changes into focused commits using conventional commit messages.

In plain words
What is it for?
Use it to review a set of changes, create atomic commits, update versions or changelogs, and assess quality.
Why use it?
It helps keep changes organised and supports related version and changelog updates.

Command

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 commands/windagency/valora.ai/commit
Clone the repo
git clone --depth 1 https://github.com/windagency/valora.ai
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,289 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00025 $0.05289
Opus 5 $0.00013 $0.02645
Sonnet 5 $0.00005 $0.01058
Haiku 4.5 $0.00003 $0.00529

Measured yesterday against content hash 7c2447ba7855, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

commit 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.

packages/valora-plugin-engineering/commands/commit.md · 789 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. yesterday First seen · 789 lines · 25 tokens per session scan A 7c2447ba7855

Subscribe to this mod's changes

commit is a command published in the GitHub repository windagency/valora.ai (24 stars, last pushed 8d ago), with no licence file. It adds 25 tokens to every session and 5,289 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.

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