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 tobihagemann/turbo --skill create-skillgit clone --depth 1 https://github.com/tobihagemann/turboWrote 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/tobihagemann/turbo/create-skill)<a href="https://agentmods.dev/skills/tobihagemann/turbo/create-skill"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/create-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/tobihagemann/turbo/create-skill"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/create-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Rogue Agent · line 98 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00070 | $0.02167 |
| Opus 5 | $0.00035 | $0.01084 |
| Sonnet 5 | $0.00014 | $0.00433 |
| Haiku 4.5 | $0.00007 | $0.00217 |
Grade A, and why
create-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 yesterday.
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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Skill
This skill guides the creation of effective skills. Authoring guidance is split across the reference files below. Read the ones the current step needs rather than all of them.
| Reference | Covers |
|---|---|
| references/principles.md | Conciseness, instructions-not-documentation, degrees of freedom |
| references/structure.md | Frontmatter, naming, descriptions, progressive disclosure, file layout |
| references/writing.md | Prose rules: terminology, phrasing, conditions, thresholds |
| references/workflows.md | Step/phase structure, feedback loops, exit signals, output patterns |
| references/composition.md | Depending on, invoking, and fanning out to other skills |
| references/tools.md | Agent, Bash, AskUserQuestion, and MCP tool invocation |
| references/evaluation.md | Evaluations and iterating on a skill from observed behavior |
| references/scripts.md | Skills that bundle executable code |
| references/harness.md | Harness tool names, permission modes, and discovery paths |
For conceptual background on how Skills work, see the Skills overview on platform.claude.com.
Step 1: Understanding the Skill with Concrete Examples
Skip this step only when the skill's usage patterns are already clearly understood. It remains valuable even when working with an existing skill.
To create an effective skill, clearly understand concrete examples of how the skill will be used. This understanding can come from either direct user examples or generated examples that are validated with user feedback.
For example, when building an image-editor skill, relevant questions include:
- "What functionality should the image-editor skill support? Editing, rotating, anything else?"
- "Can you give some examples of how this skill would be used?"
- "I can imagine users asking for things like 'Remove the red-eye from this image' or 'Rotate this image'. Are there other ways you imagine this skill being used?"
- "What would a user say that should trigger this skill?"
What ships with it
10 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.
- references/composition.md 4.6 KB
- references/evaluation.md 3.9 KB
- references/harness.md 2.4 KB
- references/principles.md 6.5 KB
- references/scripts.md 4.4 KB
- references/skill-reviewer.md 4.7 KB
- references/structure.md 8.3 KB
- references/tools.md 21 KB
- references/workflows.md 7.1 KB
- references/writing.md 8.1 KB
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.
- yesterday Changed · +2 lines af0ea18fa312
- 9d ago First seen · 125 lines · 70 tokens per session scan A af2647e2aa90
create-skill is a skill published in the GitHub repository tobihagemann/turbo (402 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 2,167 once invoked, about $0.0003 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 2026-08-30.
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