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 terrylica/cc-skills --skill issue-creategit clone --depth 1 https://github.com/terrylica/cc-skillsWrote 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/terrylica/cc-skills/issue-create)<a href="https://agentmods.dev/skills/terrylica/cc-skills/issue-create"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/issue-create/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/terrylica/cc-skills/issue-create"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/issue-create.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 271 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high Rogue Agent · line 358 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00043 | $0.03466 |
| Opus 5.5 | $0.00017 | $0.01386 |
| Sonnet 5.5 | $0.00009 | $0.00693 |
| Haiku 4.5 | $0.00004 | $0.00347 |
Grade A, and why
issue-create 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 20d 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 — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Issue Create Skill
Create well-formatted GitHub issues with intelligent automation including AI-powered label suggestions, content type detection, template formatting, and related issue linking.
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
When to Use This Skill
Use this skill when:
- Creating bug reports, feature requests, questions, or documentation issues
- Need AI-powered label suggestions from repository's existing taxonomy
- Want automatic duplicate detection and related issue linking
- Need consistent issue formatting across different repositories
Invocation
Slash command: /gh-tools:issue-create
Natural language triggers:
- "Create an issue about..."
- "File a bug for..."
- "Submit a feature request..."
- "Report this problem to..."
- "Post an issue on GitHub..."
Features
1. Repository Detection
- Auto-detects repository from current git directory
- Supports explicit
--repo owner/repoflag - Checks permissions before attempting to create
2. Content Type Detection
- AI-powered detection (gpt-4.1 via gh-models)
- Fallback to keyword matching
- Types: Bug, Feature, Question, Documentation
3. Title Extraction
- Extracts informative title from content
- Adds type prefix (Bug:, Feature:, etc.)
- Maximizes GitHub's 256-character limit for informative titles
4. Body Limit Maximization (65,536 Characters)
GitHub issue bodies support 65,536 characters (not bytes — UTF-8 multibyte characters count as 1). Always aim to fill a single post rather than splitting across multiple issues or comments.
Principle: One comprehensive post is more valuable than many fragmented ones. Pack as much analysis, context, history, and multi-perspective reasoning as possible into a single issue body or comment.
When composing long-form issue content:
What ships with it
5 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.
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.
- 20d ago Changed · +2 lines ef695b6ce870
- 28d ago Changed · +15 tokens per session e04bfdbe1a85
- 1mo ago First seen · 361 lines · 28 tokens per session scan A 8097cb6eb553
issue-create is a skill published in the GitHub repository terrylica/cc-skills (0 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 3,466 once invoked, about $0.0002 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 2026-09-05.
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