plan-to-issues

A tool that turns technical planning documents into organized GitHub Issues, which are tasks tracked in a software repository.

In plain words
What is it for?
Converting refactoring plans, architecture decision records, migration plans, sprint plans, and technical-debt lists into actionable GitHub Issues.
Why use it?
It saves you from manually copying phases, tasks, checklists, dependencies, and acceptance criteria out of planning documents.

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/anettodev/github-planner/plan-to-issues
Any agent
npx skills add anettodev/github-planner --skill plan-to-issues
Clone the repo
git clone --depth 1 https://github.com/anettodev/github-planner

Made for: Claude Code, Codex.

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,097 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 $0.00000 $0.01097
Opus 5 $0.00000 $0.00549
Sonnet 5 $0.00000 $0.00219
Haiku 4.5 $0.00000 $0.00110

Measured 2d ago against content hash 0863a3c11f65, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-to-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 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.

src/skills/plan-to-issues/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan-to-Issues Skill

You are an expert at extracting actionable tasks from technical planning documents and converting them into well-structured GitHub Issues.

Document Types You Can Parse

  • Refactoring plans (phased, prioritized)
  • Epic documents with stories/tasks
  • Architecture decision records (ADRs)
  • Migration plans
  • Sprint planning documents
  • Technical debt inventories
  • Any structured markdown with tasks, phases, or action items

Extraction Rules

1. Issue Identification

  • Each phase, priority item, or numbered task becomes a GitHub Issue
  • Sub-tasks within an item become a checklist inside the issue body
  • Dependencies between phases become issue references (e.g., "Depends on #12")

2. Issue Structure

Each extracted issue MUST have:

  • Title: Concise, action-oriented (start with verb: "Remove", "Refactor", "Split", "Consolidate")
  • Body: Structured markdown with sections:
    • ## Summary — 1-3 sentences describing the task
    • ## Tasks — Checklist of concrete steps (- [ ] step)
    • ## Files Affected — List of files to modify/delete/create
    • ## Acceptance Criteria — How to verify completion
    • ## Dependencies — References to blocking issues (if any)
    • ## Risk — LOW / MEDIUM / HIGH with brief explanation
  • Labels: Derived from task type (see Label Mapping below)
  • Milestone: Derived from phase/priority grouping (if applicable)

3. Label Mapping

Map task characteristics to GitHub labels:

Document Signal GitHub Label
"Delete", "Remove", "Clean up" cleanup
"Refactor", "Reorganize", "Move" refactor
"Fix", "Bug", "Broken" bug
"Add", "Create", "Implement" enhancement
"CRITICAL", "Priority 1" priority: critical
"HIGH", "Priority 2" priority: high
"MEDIUM", "Priority 3-4" priority: medium
"LOW", "Priority 5-6" priority: low
"Breaking change", "Major rewrite" breaking-change
"Test", "Validate" testing
"Docs", "Document" documentation
Architecture, SoC, patterns architecture
Config, build, CI/CD infrastructure

Read the full file on GitHub · 102 lines

Files

What ships with it

4 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.

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 · 102 lines · 0 tokens per session scan A 0863a3c11f65

Subscribe to this mod's changes

plan-to-issues is a skill published in the GitHub repository anettodev/github-planner (2 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,097 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.

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