plan-to-issues

plan-to-issues is a skill for Codex from markoblogo/abvx-agent-skills. It costs 65 tokens per session (399 once invoked), scanned A, original, MIT.

A guide for turning a product requirements document, plan, or specification into small, independently buildable work items. A vertical slice is one complete piece of functionality that can be tested or reviewed on its own.

In plain words
What is it for?
Use it to split product work into thin end-to-end slices with acceptance criteria, blockers, and notes about whether an agent or person must do the work.
Why use it?
It prevents broad plans from becoming vague tickets that cannot be picked up, verified, or delivered independently.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to split product work into thin end-to-end slices with acceptance criteria, blockers, and notes about whether an agent or person must do the work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/markoblogo/abvx-agent-skills/plan-to-issues
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 markoblogo/abvx-agent-skills --skill plan-to-issues
Clone the repo
git clone --depth 1 https://github.com/markoblogo/abvx-agent-skills

Made for: Codex.

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 plan-to-issues

README.md
[![agentmods](https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/plan-to-issues.svg)](https://agentmods.dev/skills/markoblogo/abvx-agent-skills/plan-to-issues)
Your own site
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/plan-to-issues"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/plan-to-issues.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 399 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.
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 $0.00065 $0.00399
Opus 5 $0.00032 $0.00199
Sonnet 5 $0.00013 $0.00080
Haiku 4.5 $0.00006 $0.00040

Measured 8d ago against content hash 06af74e52ecf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 8d 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.

skills/plan-to-issues/SKILL.md · 55 lines

What it actually says

Plan To Issues

Turn a plan into vertical slices that can actually be picked up and shipped.

Workflow

  1. Gather the parent artifact: PRD, plan, or spec.
  2. Explore the repo only enough to understand the real seams.
  3. Break the work into thin vertical slices:
    • end-to-end;
    • verifiable on their own;
    • blocker-aware;
    • small enough to review.
  4. Classify slices:
    • agent-ready;
    • human-required;
    • blocked by decision or external dependency.
  5. Show the proposed breakdown and adjust granularity before publishing or writing it down.

Slice Rules

  • Prefer many thin slices over a few thick ones.
  • Each slice should cut through the relevant layers, not isolate one layer.
  • A completed slice should be demoable, testable, or reviewable on its own.

Output

For each slice include:

  • title;
  • type;
  • what to build;
  • acceptance criteria;
  • blockers;
  • parent reference when relevant.

Rules

  • Do not output horizontal slices like "DB layer", "API layer", "UI layer" unless the parent work truly is infrastructure-only.
  • Keep issue-tracker-neutral language; publish to a tracker only if the workflow calls for it.
  • If the plan is still fuzzy, route back to spec-to-prd or grilling first.

Final Report

Summarize the slice graph, identify the first executable slice, and note what still needs a human decision.

Files

What ships with it

2 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. 8d ago First seen · 55 lines · 65 tokens per session scan A 06af74e52ecf

Subscribe to this mod's changes

plan-to-issues is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 399 once invoked, about $0.0003 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.

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