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.
npx skills add smallnest/goal-workflow --skill to-issuesgit clone --depth 1 https://github.com/smallnest/goal-workflowWrote 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/smallnest/goal-workflow/to-issues)<a href="https://agentmods.dev/skills/smallnest/goal-workflow/to-issues"><img src="https://agentmods.dev/badge/skills/smallnest/goal-workflow/to-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/smallnest/goal-workflow/to-issues"><img src="https://agentmods.dev/badge/skills/smallnest/goal-workflow/to-issues.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00096 | $0.03279 |
| Opus 5.5 | $0.00038 | $0.01312 |
| Sonnet 5.5 | $0.00019 | $0.00656 |
| Haiku 4.5 | $0.00010 | $0.00328 |
Grade A, and why
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 1mo 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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
to-issues — PRD/SPEC to Issues
Decompose a PRD and/or technical SPEC into small, independently demoable Issues, each sized to fit a single fresh context window, then create them in your chosen platform. Works standalone — you don't need to have run /prd first.
Every Issue this skill produces is agent-ready by construction: a fresh session that has never seen your PRD/SPEC can pick it up and finish it.
Core principle: tracer bullets, not layers
This is the rule that matters most, and the one models break most often.
- A horizontal slice ships one layer of the change (all the schema in one ticket, all the API in another, all the UI in a third). Nothing works until every layer lands, and each ticket's acceptance criteria have to reach into work another ticket owns. This is the default the model falls into — avoid it.
- A vertical slice — the tracer bullet — ships one thin but complete path through every layer at once (schema + API + UI + tests for a single narrow behaviour). It is verifiable alone the moment it lands, and it owns everything it grades.
The test for every Issue: "What can I demo when this is done?" If the answer is a layer ("the database has a priority column") rather than a behaviour ("a user can set a task's priority and see it persist"), it is a horizontal slice — re-slice it.
Sizing floor: if the whole change fits in one context window, you don't need Issues at all. Say so and point the user straight at /goal.
Keep this skill in the same context window as
/prd-to-spec. Don't clear or compact between them, or the SPEC has to be re-fetched and may truncate.
The Job
- Locate input — find a PRD or SPEC file (auto-detect or user-specified)
- Find prefactoring — surface "make the change easy, then make the easy change" work and order it first
- Decompose into vertical Issues — break behaviour into tracer-bullet tickets with blocking edges
- Quiz the user — present the numbered list and push on granularity, edges, and demo paths before publishing
- Choose platform — GitHub / Local
- Create Issues — blockers first, with native blocking links, then print summary
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.
- 1mo ago First seen · 283 lines · 96 tokens per session scan A e556f4a8c971
to-issues is a skill published in the GitHub repository smallnest/goal-workflow (293 stars, last pushed 1mo ago), licensed MIT. It adds 96 tokens to every session and 3,279 once invoked, about $0.0004 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.
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