implement

A skill that carries a GitHub issue through investigation, planning, implementation, and pull-request preparation. A GitHub issue is a tracked request describing a bug, feature, or piece of work.

In plain words
What is it for?
Use it to implement an issue identified by its number or full GitHub URL. It fetches the issue, prepares a plan, changes the code after approval, commits the work, and produces a pull-request summary.
Why use it?
It connects the issue’s discussion to the relevant code and keeps the implementation process organised. It also requires confirmation before coding and records changes incrementally.

Skill for Claude CodeCodex

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/finos/git-proxy/implement
Any agent
npx skills add finos/git-proxy --skill implement
Clone the repo
git clone --depth 1 https://github.com/finos/git-proxy

Made for: Claude Code, Codex.

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,379 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 $0.00028 $0.01379
Opus 5 $0.00014 $0.00690
Sonnet 5 $0.00006 $0.00276
Haiku 4.5 $0.00003 $0.00138

Measured yesterday against content hash e501778a37cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

implement 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.

.agents/skills/implement/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement a GitHub issue end-to-end: fetch the issue, plan, code with approval, commit incrementally, and generate a PR summary.

Read AGENTS.md first. It is the canonical project guide for this repository.

The argument is an issue number (e.g. /implement 42) or a full GitHub URL (e.g. /implement https://github.com/finos/git-proxy/issues/42). If no argument is given, ask the user.

Phase 1: Fetch issue

  1. Parse the argument:
    • If it is a full URL like https://github.com/{owner}/{repo}/issues/{number}, extract {owner}/{repo} and {number}.
    • If it is just a number, use the current repo (run gh repo view --json nameWithOwner -q .nameWithOwner to get it).
  2. Fetch issue details:
    gh issue view <number> --repo <owner/repo> --json title,body,labels,assignees,comments
    
  3. Display a summary to the programmer:
    • Issue number and title
    • Labels (if any)
    • Body (truncated to ~40 lines if longer)
    • Number of comments and any noteworthy discussion points
  4. Ask the programmer to confirm this is the right issue before proceeding. Use AskUserQuestion with options: "Proceed", "Show full issue body", "Cancel".

Phase 2: Branch setup

  1. List all configured remotes: git remote -v
  2. If there is more than one remote, ask the programmer which remote to use as upstream using AskUserQuestion (list the remote names as options). If there is only one remote, use it automatically.
  3. Fetch and update main from the chosen remote:
    git fetch <remote>
    git checkout main
    git pull <remote> main
    
  4. Create a new branch from main. The branch name must follow this convention:
    • Format: <type>/<short-slug> where <type> is a Conventional Commits type (feat, fix, refactor, docs, chore, etc.) and <short-slug> is a kebab-case summary derived from the issue title (3-5 words max).
    • Examples: feat/dynamic-allocation-support, fix/event-watcher-reconnect, refactor/pod-spec-converter
    • Pick the type based on the issue labels and description (e.g. a bug report maps to fix/, a feature request to feat/).
    git checkout -b <type>/<short-slug>
    
  5. Confirm to the programmer: "Created branch <branch-name> from <remote>/main."

Read the full file on GitHub · 114 lines

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 · 114 lines · 0 tokens per session scan A e501778a37cb

Subscribe to this mod's changes

implement is a skill published in the GitHub repository finos/git-proxy (243 stars, last pushed 2d ago), licensed Apache-2.0. It adds 28 tokens to every session and 1,379 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.