Borrowing it
Nothing to install: this file belongs to s-hiraoku/vscode-sidebar-terminal. 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/s-hiraoku/vscode-sidebar-terminal/main/.agents/skills/anthropic-skill-creator/SKILL.mdgit clone --depth 1 https://github.com/s-hiraoku/vscode-sidebar-terminalWrote 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/s-hiraoku/vscode-sidebar-terminal/anthropic-skill-creator)<a href="https://agentmods.dev/skills/s-hiraoku/vscode-sidebar-terminal/anthropic-skill-creator"><img src="https://agentmods.dev/badge/skills/s-hiraoku/vscode-sidebar-terminal/anthropic-skill-creator/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/s-hiraoku/vscode-sidebar-terminal/anthropic-skill-creator"><img src="https://agentmods.dev/badge/skills/s-hiraoku/vscode-sidebar-terminal/anthropic-skill-creator.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 | $0.00077 | $0.01057 |
| Opus 5 | $0.00039 | $0.00528 |
| Sonnet 5 | $0.00015 | $0.00211 |
| Haiku 4.5 | $0.00008 | $0.00106 |
Grade A, and why
anthropic-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 10d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Skills
Build skills that trigger correctly, execute reliably, and stay concise.
Core Principles
- Use progressive disclosure:
- Frontmatter (
name,description) for trigger selection. SKILL.mdbody for core workflow.references/for deep details loaded only when needed.
- Frontmatter (
- Keep skills composable: avoid assumptions that this is the only active skill.
- Prefer deterministic scripts for fragile validation logic.
Workflow
- Define 2-3 concrete use cases.
- Draft trigger-strong frontmatter.
- Design reusable resources (
scripts/,references/,assets/). - Write actionable instructions and error handling.
- Run triggering/functional/performance tests.
- Iterate based on under-trigger/over-trigger signals.
1) Define Use Cases
Capture for each use case:
- User phrasing (what they actually say)
- Intended result
- Multi-step workflow and required tools (built-in and/or MCP)
- Failure points that need guardrails
If use cases are vague, ask targeted follow-up questions before authoring.
2) Frontmatter Design (Most Important)
Write only what is needed to trigger correctly.
Required fields:
name: kebab-case, matches folder namedescription: include BOTH- What the skill does
- When to use it (trigger phrases/context/file types)
Description formula:
[What it does] + [When to use it] + [Key capabilities]
Good pattern:
- "Processes PDF legal documents for contract review. Use when users ask for clause extraction, risk flags, or redline summaries from .pdf contracts."
Bad pattern:
- "Helps with projects."
Precision controls:
- Add negative triggers to reduce over-triggering.
- Mention relevant file types when applicable.
- Keep wording aligned with real user phrases from use cases.
3) Resource Plan
scripts/: deterministic checks/transforms used repeatedlyreferences/: large docs, domain logic, variant-specific guidanceassets/: templates and artifacts used in outputs
Rules:
- Keep
SKILL.mdcompact; link toreferences/. - Avoid extra docs in skill folder (
README.md, changelog, etc.).
What ships with it
8 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.
- assets/The-Complete-Guide-to-Building-Skill-for-Claude.pdf 548 KB
- references/checklist.md 1.1 KB
- references/failure-remedies.md 1.4 KB
- references/patterns.md 953 B
- references/prompt-templates.md 1014 B
- references/source.md 661 B
- references/trigger-examples.md 1.1 KB
- scripts/new_skill.sh 1.3 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.
- 10d ago First seen · 163 lines · 77 tokens per session scan A 56b33073f4db
anthropic-skill-creator is a skill published in the GitHub repository s-hiraoku/vscode-sidebar-terminal (21 stars, last pushed 2d ago), licensed MIT. It adds 77 tokens to every session and 1,057 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 2026-09-01.
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