Borrowing it
Nothing to install: this file belongs to ric03uec/clawrium. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ric03uec/clawrium/main/.claude/skills/itx-issue-new/SKILL.mdgit clone --depth 1 https://github.com/ric03uec/clawriumWrote 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/ric03uec/clawrium/itx-issue-new)<a href="https://agentmods.dev/skills/ric03uec/clawrium/itx-issue-new"><img src="https://agentmods.dev/badge/skills/ric03uec/clawrium/itx-issue-new/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/ric03uec/clawrium/itx-issue-new"><img src="https://agentmods.dev/badge/skills/ric03uec/clawrium/itx-issue-new.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00012 | $0.00624 |
| Opus 5.5 | $0.00005 | $0.00250 |
| Sonnet 5.5 | $0.00002 | $0.00125 |
| Haiku 4.5 | $0.00001 | $0.00062 |
Grade A, and why
itx-issue-new 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Issue Creation
Create a GitHub issue for a feature request or improvement.
Instructions
-
Analyze Context: Review the current conversation for:
- Feature requests
- Enhancement ideas
- Improvement suggestions
- User pain points
-
Ask for Customer Outcome: Use the harness's user-question facility to ask:
"What should the user be able to do when this is implemented?"
Example outcomes:
- "User can deploy multiple components in a single command"
- "User can see resource usage across all services"
- "User can backup configurations automatically"
-
Form Issue Title: Use the customer outcome as the issue title.
- Format:
<outcome>(what the user can do after implementation) - Example: "User can deploy multiple components in a single command"
- The user can change this later if needed
- Format:
-
Gather Details:
- If the user provided a description argument, use it for context
- Identify the problem being solved
- Note any constraints or preferences
-
Create Issue: Use
gh issue createwith:gh issue create \ --title "<customer outcome from step 3>" \ --body "<structured issue>" -
Issue Body Format:
## Customer Outcome <The outcome statement - what user can do when implemented> ## Summary <What is being proposed> ## Motivation <Why this is needed / what problem it solves> ## Proposed Solution <High-level approach if known> ## Acceptance Criteria - [ ] <criterion 1> - [ ] <criterion 2> --- <details> <summary>Prompt Log</summary> **Stage**: issue-creation **Skill**: /itx-issue-new **Timestamp**: <ISO timestamp> **Model**: <model> ```prompt <original user prompt/context that led to this issue> -
Return: The issue URL and number
Notes
- Always ask for customer outcome before creating the issue
- The outcome becomes the title - focus on what the user gains
- Do not add labels by default (let triage decide)
- Focus on the problem/need, not just the solution
- Include acceptance criteria when possible
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 Changed f733019174af
- 1mo ago Changed · -1 lines 463a863221f8
- 2mo ago First seen · 100 lines · 12 tokens per session scan A f28bd2b762ae
itx-issue-new is a skill published in the GitHub repository ric03uec/clawrium (67 stars, last pushed 13d ago), licensed Apache-2.0. It adds 12 tokens to every session and 624 once invoked, about $0.0000 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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