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 agentmods add skills/d-o-hub/github-template-ai-agents/skill-creatornpx skills add d-o-hub/github-template-ai-agents --skill skill-creatorgit clone --depth 1 https://github.com/d-o-hub/github-template-ai-agentsWrote 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/d-o-hub/github-template-ai-agents/skill-creator)<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/skill-creator"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/skill-creator.svg" alt="Measured on agentmods" 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 | $0.00074 | $0.02218 |
| Opus 5 | $0.00037 | $0.01109 |
| Sonnet 5 | $0.00015 | $0.00444 |
| Haiku 4.5 | $0.00007 | $0.00222 |
Grade A, and why
skill-creator 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 5d 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 — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
Create and improve skills following the Agent Skills specification. A skill extends agent capabilities with specialized knowledge, workflows, and tools.
When to Use
- User wants to create a skill from scratch, edit, or optimize an existing skill
- Need to run evals to test a skill or benchmark performance
- Even if they just say "create a skill" or "optimize this skill's description"
Core Loop
- Capture intent - What should the skill do? When should it trigger?
- Write draft - Create SKILL.md with frontmatter and instructions
- Create test cases - Realistic prompts users would actually say
- Run evals - Test with-skill vs baseline (or old version)
- Review results - Use eval-viewer for human review + benchmarks
- Iterate - Improve based on feedback until satisfied
- Optimize description - Fine-tune frontmatter for better triggering
Skill Specification
Directory Structure
skill-name/
├── SKILL.md # Required: metadata + instructions
├── scripts/ # Optional: executable code
├── references/ # Optional: documentation
├── assets/ # Optional: templates, resources
├── agents/ # Optional: subagent instructions
├── eval-viewer/ # Optional: review page generation
└── evals/ # Optional: test cases
Frontmatter Fields
| Field | Required | Constraints |
|---|---|---|
name |
Yes | Max 64 chars. Lowercase letters, numbers, hyphens only. |
description |
Yes | Max 1024 chars. Describes what the skill does AND when to use it. |
license |
No | License name or reference to bundled license file. |
compatibility |
No | Max 500 chars. Environment requirements. |
metadata |
No | Arbitrary key-value mapping. |
allowed-tools |
No | Space-delimited list of pre-approved tools. |
SKILL.md Body
- Keep under 250 lines
- Use progressive disclosure: move detailed content to
references/ - Include step-by-step instructions, examples, and common edge cases
- Mandatory: Include
## Rationalizationstable to counter common agent excuses - Mandatory: Include
## Red Flagschecklist for early warning behaviors
What ships with it
18 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.
- agents/analyzer.md 2.1 KB
- agents/comparator.md 2.7 KB
- agents/grader.md 2.3 KB
- assets/eval_review.html 4.5 KB
- eval-viewer/generate_review.py 9.9 KB runs code
- evals/bad-references-input.md 96 B
- evals/evals.json 3.8 KB
- README.md 359 B
- references/best-practices.md 2.1 KB
- references/evaluating-skills.md 5.6 KB
- references/guide.md 6.7 KB
- references/output-patterns.md 1.8 KB
- references/schemas.md 4.5 KB
- references/workflows.md 819 B
- scripts/aggregate_benchmark.py 7.5 KB runs code
- scripts/init_skill.py 6.9 KB runs code
- scripts/package_skill.py 3.1 KB runs code
- scripts/run_loop.py 9.7 KB runs code
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.
- 5d ago First seen · 249 lines · 74 tokens per session scan A 517cd7106109
skill-creator is a skill published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed today), licensed MIT. It adds 74 tokens to every session and 2,218 once invoked, about $0.0004 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 2026-08-31.
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