to-tickets

to-tickets is a skill for Claude Code, Codex from znlgis/my-opencode-deepseek-config. It costs 60 tokens per session (374 once invoked), scanned A, original, MIT.

A workflow for turning a written plan or specification into separate GitHub issues, with each issue covering one independently finishable piece of work.

In plain words
What is it for?
It helps create implementation tickets with scope, acceptance criteria, issue types, and notes about work that must happen first.
Why use it?
It makes a large task easier to track, review, and verify by separating it into manageable work items and recording dependencies.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps create implementation tickets with scope, acceptance criteria, issue types, and notes about work that must happen first.

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Install with agentmods
npx agentmods add skills/znlgis/my-opencode-deepseek-config/to-tickets
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 znlgis/my-opencode-deepseek-config --skill to-tickets
Clone the repo
git clone --depth 1 https://github.com/znlgis/my-opencode-deepseek-config

Made for: Claude Code, 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 to-tickets

README.md
[![agentmods](https://agentmods.dev/badge/skills/znlgis/my-opencode-deepseek-config/to-tickets/github.svg)](https://agentmods.dev/skills/znlgis/my-opencode-deepseek-config/to-tickets)
Your own site
<a href="https://agentmods.dev/skills/znlgis/my-opencode-deepseek-config/to-tickets"><img src="https://agentmods.dev/badge/skills/znlgis/my-opencode-deepseek-config/to-tickets/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 to-tickets

Your own site · 80×15
<a href="https://agentmods.dev/skills/znlgis/my-opencode-deepseek-config/to-tickets"><img src="https://agentmods.dev/badge/skills/znlgis/my-opencode-deepseek-config/to-tickets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 374 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 $0.00060 $0.00374
Opus 5 $0.00030 $0.00187
Sonnet 5 $0.00012 $0.00075
Haiku 4.5 $0.00006 $0.00037

Measured 7d ago against content hash cb8710c2d084, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

to-tickets 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 7d 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.

opencode/skills/to-tickets/SKILL.md · 43 lines

What it actually says

To Tickets

Turn a written spec or plan into a set of trackable issues. One issue per unit of work, each verifiable on its own.

When to use

A spec/plan exists and needs to become actionable, reviewable issues — not when the work is a single step you can just do inline.

How to break down

  • One issue = one unit that can be completed and verified independently.
  • Every issue carries acceptance criteria (the observable "done" condition).
  • Keep issues small enough to finish and review in one session; split anything that would outlive one.

Creating issues with gh

For exact gh command syntax, flags, and pagination, load the gh-cli skill.

gh issue create --title "<summary>" --body "<body>" --assignee @me
  • --body holds the scope, acceptance criteria, and dependency notes.
  • Use --type Task (or Bug/Feature) when the repo uses issue types.
  • Batch-create from a plan: one gh issue create per ticket.

Notes

  • Granularity: aim for units a single agent session can finish — not one giant issue, not twenty trivial ones.
  • Dependencies: annotate blocking relationships (e.g. "blocked by #12") rather than assuming order.
  • Don't create issues for work you're about to do inline — tickets are for tracking work across sessions or humans.
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. 7d ago First seen · 43 lines · 60 tokens per session scan A cb8710c2d084

Subscribe to this mod's changes

to-tickets is a skill published in the GitHub repository znlgis/my-opencode-deepseek-config (58 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 374 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 2026-09-03.