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 pekral/cursor-rules --skill create-issues-from-textgit clone --depth 1 https://github.com/pekral/cursor-rulesWrote 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/pekral/cursor-rules/create-issues-from-text)<a href="https://agentmods.dev/skills/pekral/cursor-rules/create-issues-from-text"><img src="https://agentmods.dev/badge/skills/pekral/cursor-rules/create-issues-from-text/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/pekral/cursor-rules/create-issues-from-text"><img src="https://agentmods.dev/badge/skills/pekral/cursor-rules/create-issues-from-text.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 | $0.00015 | $0.00663 |
| Opus 5.5 | $0.00006 | $0.00265 |
| Sonnet 5.5 | $0.00003 | $0.00133 |
| Haiku 4.5 | $0.00002 | $0.00066 |
Grade A, and why
create-issues-from-text 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Issues from Text
Purpose
Split a complex assignment into multiple clear, structured issues.
Constraints
- Preserve original assignment (store in parent or first issue)
- Do not implement code
- Assign all issues to current user
- Use CLI tools
Execution
1. Analyze Assignment
- Understand scope and dependencies
- Identify logical implementation steps
2. Propose Breakdown
- List steps with short descriptions
- Proceed directly to step 3; do not gate on a confirmation round when the breakdown is unambiguous
3. Create Issues
- One issue per step
- Ensure each is independently deliverable
- Assign the most relevant existing label to each issue (per
@rules/compound-engineering/general.mdcAssign the most relevant existing label when creating a tracker issue)
4. Output
- Return list of created issues with URLs
Issue Structure
Use the template defined in templates/issue-structure.md.
EPIC parent & sub-issues
Use this when the assignment is a cross-cutting mix of requirements spanning multiple parts of the application (e.g. backend + frontend + mobile, or schema + API + UI). Instead of a flat list of peer issues, build a parent → children tree so the whole effort is trackable from one place.
- Pick (or create) the parent. When the assignment already has a tracker item, that item becomes the EPIC parent. When the assignment is a described task with no tracker item, create the parent issue first, carrying the full original assignment in its body.
- Label the parent
EPIC. Apply theEPIClabel to the parent. Create the label once if the repository does not have it yet (gh label create EPIC --description "Tracks a cross-cutting effort split into sub-issues" --color 5319e7), then ignore the "already exists" outcome on subsequent runs. - Create one sub-issue per application area. Each sub-issue is an independently deliverable assignment (same
templates/issue-structure.mdstructure) scoped to a single area; do not bundle two areas into one sub-issue. - Link every sub-issue back to the parent (both directions).
- In each sub-issue body, reference the parent with
Part of #<parent>so the relationship is visible from the child. - In the parent body, keep a checkable task list of the children —
- [ ] #<child>per sub-issue — under a## Sub-issuesheading, so the parent shows the full breakdown and progress.
- In each sub-issue body, reference the parent with
- Order. Fill each sub-issue's
## Dependenciesso a resolving run can pick a dependency-aware order — dependencies before dependents. - Output. Return the
EPIC-labelled parent URL plus the list of linked sub-issue URLs and the planned resolve order.
What ships with it
1 file 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.
- 1mo ago First seen · 62 lines · 15 tokens per session scan A bbbc35b78ddb
create-issues-from-text is a skill published in the GitHub repository pekral/cursor-rules (11 stars, last pushed 19d ago), licensed MIT. It adds 15 tokens to every session and 663 once invoked, about $0.0001 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 2026-08-31.
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