Borrowing it
Nothing to install: this file belongs to silver2dream/ai-workflow-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/silver2dream/ai-workflow-kit/main/.ai/skills/create-issues/SKILL.mdgit clone --depth 1 https://github.com/silver2dream/ai-workflow-kitWrote 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.
[](https://agentmods.dev/skills/silver2dream/ai-workflow-kit/create-issues)<a href="https://agentmods.dev/skills/silver2dream/ai-workflow-kit/create-issues"><img src="https://agentmods.dev/badge/skills/silver2dream/ai-workflow-kit/create-issues/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.
<a href="https://agentmods.dev/skills/silver2dream/ai-workflow-kit/create-issues"><img src="https://agentmods.dev/badge/skills/silver2dream/ai-workflow-kit/create-issues.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00750 |
| Opus 5.5 | $0.00000 | $0.00300 |
| Sonnet 5.5 | $0.00000 | $0.00150 |
| Haiku 4.5 | $0.00000 | $0.00075 |
Grade A, and why
create-issues 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Issues Skill
Systematic workflow for creating well-structured GitHub issues from high-level requirements.
Overview
This skill transforms user requirements into a set of well-structured, dependency-aware GitHub issues. It follows a 5-phase workflow with a mandatory user approval gate before creating any issues.
When to Use
Use this skill when:
- User invokes
/create-issues - User describes a feature or requirement that needs multiple issues
- User wants to plan work breakdown systematically
- User needs help decomposing a complex requirement
Workflow
Phase 1: Codebase Analysis
Read phases/analyze.md
Scan the project to understand:
- Repository structure and languages
- Module organization and patterns
- Existing test coverage
- Configuration from workflow.yaml
Phase 2: Requirement Breakdown
Read phases/breakdown.md
Systematically decompose the requirement:
- Identify discrete tasks
- Detect dependencies between tasks
- Assign complexity scores (1-5)
- Assign priorities (P0/P1/P2)
- Group by execution phase
Phase 3: Issue Proposal Generation
Read phases/propose.md
Generate detailed proposals:
- Full issue content with all fields
- Scope with specific file paths
- Acceptance criteria
- Verification commands
- Dependency graph visualization
Phase 4: User Approval Gate
Read phases/approval.md
Present proposals and wait for confirmation:
- Display formatted proposals
- User responds: yes/no/edit
- Only proceed if user explicitly approves
Phase 5: Issue Creation
Read phases/create.md
Create issues via GitHub CLI:
- Execute
gh issue createfor each issue - Capture returned issue numbers
- Update dependency references
- Generate final report with links
Critical Rules
- NEVER create issues without user approval
- ALWAYS show full proposal details before asking for approval
- Respect dependency order - issues with dependencies must reference actual issue numbers
- Follow commit format -
[type] subject(no colon) - Include verification commands - Go projects use
go test ./...andgo build ./...
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 110 lines · 0 tokens per session scan A b33b6aca5c97
create-issues is a skill published in the GitHub repository silver2dream/ai-workflow-kit (2 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 750 tokens. 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.
Other skills, from other repositories
feature-execution
A feature-delivery coordinator that divides a feature into waves of work, assigns agents, manages review rounds, and commits each wave.
init-project
Initialize project with template, git, and GitHub.
github-issue
Use when opening a GitHub issue, bug report, feature request, or discussion in any repository, including one the user has no local checkout of.
worktree-assign
A worktree assignment guide for creating a Git worktree and sending a coding task to an AI agent. A worktree is a separate working directory that lets a branch be worked on independently.
work-the-frontier
Build every ready task in parallel — implementer sub-agents on the dependency frontier, each in its own worktree, merged onto one integration branch.
issue-workflow
A workflow that turns a GitHub Issue, a tracked development task, into an approved implementation plan and then code. It retrieves the issue, creates a branch, writes development documents, waits for approval, and implements only the approved scope.