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 Stijnman/grok-custom-skills --skill natural-language-to-skillgit clone --depth 1 https://github.com/Stijnman/grok-custom-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/stijnman/grok-custom-skills/natural-language-to-skill)<a href="https://agentmods.dev/skills/stijnman/grok-custom-skills/natural-language-to-skill"><img src="https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/natural-language-to-skill/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/stijnman/grok-custom-skills/natural-language-to-skill"><img src="https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/natural-language-to-skill.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 | $0.00040 | $0.00336 |
| Opus 5 | $0.00020 | $0.00168 |
| Sonnet 5 | $0.00008 | $0.00067 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
natural-language-to-skill 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 12d 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.
What it actually says
Natural Language To Skill
When to Use
- User says create skill from description or task matches this capability
- User says NL to skill or task matches this capability
- User says skill from prompt or task matches this capability
Workflow
- Parse intent: triggers, workflow, integrations, errors.
- Generate SKILL.md following Agent Skills spec.
- Run hyper-skill-tester on draft.
- Save to .grok/skills// via skill-creation-enabler.
Integrations
skill-creation-enablerhyper-skill-testerskill-researcher
Error Handling
| Failure | Response |
|---|---|
| Vague request | Ask 3 clarifying questions before generating. |
Gotchas
- Name must be lowercase-hyphen, max 64 chars.
Example
Input: User request matching triggers above. Output: Structured result per workflow with integrations invoked as needed.
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.
- 12d ago First seen · 47 lines · 40 tokens per session scan A f5d39ab8874f
natural-language-to-skill is a skill published in the GitHub repository Stijnman/grok-custom-skills (9 stars, last pushed 2d ago), licensed MIT. It adds 40 tokens to every session and 336 once invoked, about $0.0002 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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