implement-issue

implement-issue is a skill for Claude Code from desplega-ai/agent-swarm. It costs 19 tokens per session (664 once invoked), scanned A, original, MIT.

A workflow for implementing a GitHub or GitLab issue and opening a pull request or merge request, which asks the project to review and accept the changes.

In plain words
What is it for?
Use it to read an issue, prepare a feature branch, change the code, run tests, verify the result, and create the appropriate review request.
Why use it?
It connects the issue’s requirements to a focused code change, tests, and a review request in the repository.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md.

Part of the agent-swarm plugin — 30 skills, 11 commands, 5 agents, 6 hooks, 1 MCP server shipped together

Good fit Use it to read an issue, prepare a feature branch, change the code, run tests, verify the result, and create the appropriate review request.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/desplega-ai/agent-swarm/implement-issue
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.

Any agent
npx skills add desplega-ai/agent-swarm --skill implement-issue
Clone the repo
git clone --depth 1 https://github.com/desplega-ai/agent-swarm

Made for: Claude Code.

Or install agent-swarm, the plugin that ships this one along with the rest of its 30 skills, 11 commands, 5 agents, 6 hooks, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for implement-issue

README.md
[![agentmods](https://agentmods.dev/badge/skills/desplega-ai/agent-swarm/implement-issue/github.svg)](https://agentmods.dev/skills/desplega-ai/agent-swarm/implement-issue)
Your own site
<a href="https://agentmods.dev/skills/desplega-ai/agent-swarm/implement-issue"><img src="https://agentmods.dev/badge/skills/desplega-ai/agent-swarm/implement-issue/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for implement-issue

Your own site · 80×15
<a href="https://agentmods.dev/skills/desplega-ai/agent-swarm/implement-issue"><img src="https://agentmods.dev/badge/skills/desplega-ai/agent-swarm/implement-issue.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 664 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00019 $0.00664
Opus 5.5 $0.00008 $0.00266
Sonnet 5.5 $0.00004 $0.00133
Haiku 4.5 $0.00002 $0.00066

Measured 28d ago against content hash 41e291b39907, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

implement-issue 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 28d 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.

plugin/pi-skills/implement-issue/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement Issue

Read a GitHub or GitLab issue, implement the requested changes, and create a PR/MR.

Provider detection: Check the URL or remote:

  • If GitHub → use gh issue view / gh pr create
  • If GitLab → use glab issue view / glab mr create

Arguments

  • issue-number-or-url: Either an issue number (e.g., 123) or a full URL

Workflow

1. Parse and Fetch

If given a URL, extract owner, repo, and issue number. Fetch issue details (title, body, labels, comments). Understand what's being requested, acceptance criteria, and any technical constraints.

2. Setup

  • Ensure repo is cloned to /workspace/personal/<repo-name> (clone with gh repo clone if needed)
  • Fetch origin, checkout main, pull latest
  • Create a feature branch: fix/issue-<number>-<short-description>

3. Implement

  1. Understand the codebase — explore relevant files and existing patterns
  2. Plan your approach — consider using /planning for complex changes
  3. Write the code — implement the requested functionality
  4. Test your changes — run existing tests, add new tests if appropriate
  5. Verify it works — manual verification where possible

Keep changes focused on what the issue requests. Avoid scope creep.

4. Quality Checks, Commit, and Push

  1. Run PR checks (MANDATORY) — Run ALL checks from the "PR Checks" section of your Repository Guidelines. Fix any failures before proceeding. If no guidelines are defined, check the project's CLAUDE.md for a pre-PR checklist.
  2. Commit with a message referencing the issue (e.g., Fix #123: <description>). Use conventional commit style if the repo uses it.
  3. Push with git push -u origin HEAD.

5. Create the PR

Create the PR with a descriptive title and a body that follows the repository's PR template and conventions (see /skill:create-pr, steps 5 and 6). If the repo defines none, include: summary of changes, key changes list, and testing done. Always include Fixes #<issue-number> to auto-close the issue on merge.

Read the full file on GitHub · 63 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. 28d ago Changed 41e291b39907
  2. 1mo ago First seen · 63 lines · 19 tokens per session scan A 445a6d08861c

Subscribe to this mod's changes

implement-issue is a skill published in the GitHub repository desplega-ai/agent-swarm (930 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 664 once invoked, about $0.0001 per session on Opus 5.5. 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.