feature

A command for implementing a ready-to-work feature ticket in a code repository, then opening a pull request. A pull request is a proposed code change for review before it is merged.

In plain words
What is it for?
Use it when you have a GitHub feature issue and want the change implemented on a new branch and submitted for review without merging it.
Why use it?
It organizes the required repository checks, test-driven development, branch creation, progress notes, and handoff into one workflow.

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/kripu77/software-factory/feature
Clone the repo
git clone --depth 1 https://github.com/Kripu77/software-factory
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 237 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 $0.00019 $0.00237
Opus 5 $0.00010 $0.00118
Sonnet 5 $0.00004 $0.00047
Haiku 4.5 $0.00002 $0.00024

Measured 2d ago against content hash 5a120953381e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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.

commands/feature.md · 11 lines

What it actually says

Read lanes/feature.md and AGENTS.md. Follow /tdd, /implement, /unslop. Use /mermaid when you write a PR.

At start, factory.sh mem read for this issue. Write started only if that read shows no in-progress feature run: factory.sh mem write --lane feature --status started --harness <claude|cursor|codex|grok> --issue . At the end, factory.sh mem write --lane feature --status done|blocked|failed --harness <claude|cursor|codex|grok> --issue --summary "" --evidence --next-steps "". That write comments on the GitHub issue. started does not. Missing memory or a comment failure: warn once and continue.

Need a GitHub issue (owner/repo#n or --repo and --issue). New branch off main. Open a PR. Print the URL. Do not merge.

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 · 11 lines · 19 tokens per session scan A 5a120953381e

Subscribe to this mod's changes

feature is a command published in the GitHub repository Kripu77/software-factory (7 stars, last pushed 2d ago), licensed MIT. It adds 19 tokens to every session and 237 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 2026-08-31.

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