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 psylch/better-skills --skill better-skill-creatorgit clone --depth 1 https://github.com/psylch/better-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/psylch/better-skills/better-skill-creator)<a href="https://agentmods.dev/skills/psylch/better-skills/better-skill-creator"><img src="https://agentmods.dev/badge/skills/psylch/better-skills/better-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/psylch/better-skills/better-skill-creator"><img src="https://agentmods.dev/badge/skills/psylch/better-skills/better-skill-creator.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 | $0.00110 | $0.01953 |
| Opus 5 | $0.00055 | $0.00977 |
| Sonnet 5 | $0.00022 | $0.00391 |
| Haiku 4.5 | $0.00011 | $0.00195 |
Grade A, and why
better-skill-creator scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**stdlib** — Python standard library only. Zero dependencies, zero environment issues. Choose this when `urllib`, `json`, `argparse`, `pathlib` are sufficient. This is the recommended default. How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
Language
Match user's language: Respond in the same language the user uses.
Overview
Create new agent skills by guiding the user through a series of choices, then generating a ready-to-edit project structure with best practices baked in.
How It Works
- Collect requirements through dialogue (AskUserQuestion)
- Call
scaffold.pywith the collected parameters (non-interactive) - Report what was generated and guide next steps
Dialogue Flow
Progress:
- Step 1: Understand intent
- Step 2: Skill name
- Step 3: Skill level (auto-recommended)
- Step 4: Environment strategy (L1 only)
- Step 5: Output directory
- Generate, validate, and report
Follow these steps in order. Use AskUserQuestion for steps 1–5.
Step 1: Understand Intent
Before any structural decisions, understand what the skill will do. Ask the user:
- What does this skill do? (one sentence)
- Give 2–3 example user prompts that should trigger it
- What does the output/result look like?
This step is critical — it determines the level recommendation and produces a better description field.
Step 2: Skill Name
Ask the user for a skill name. Validate it meets these rules:
- Lowercase letters, digits, and hyphens only
- Must start with a letter, end with a letter or digit
- No consecutive hyphens
- Maximum 64 characters
If invalid, explain the constraint and ask again.
Step 3: Skill Level (Auto-Recommended)
Based on the examples gathered in Step 1, recommend a level before asking:
- If all examples can be handled with Claude's built-in tools, MCP servers, or domain knowledge → recommend L0
- If examples need environment detection, status caching, or lightweight shell checks → recommend L0+
- If examples involve API calls, data processing, or operations benefiting from deterministic code → recommend L1
Present the recommendation with rationale, then let the user confirm or override:
L0 — Pure Prompt: Only a SKILL.md file. All capabilities come from Claude's built-in tools, MCP servers, or general knowledge. Best for workflow guides, domain knowledge, configuration wizards. No scripts needed.
What ships with it
13 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/best_practices.md 34 B
- references/improvement_patterns.md 40 B
- references/validation_rules.md 36 B
- scripts/scaffold.py 11 KB runs code
- templates/l0/SKILL.md.tmpl 1.1 KB
- templates/l0plus/helper.sh.tmpl 625 B
- templates/l0plus/SKILL.md.tmpl 1.7 KB
- templates/l1/env.example.tmpl 218 B
- templates/l1/main_stdlib.py.tmpl 2.4 KB
- templates/l1/main_uv.py.tmpl 2.8 KB
- templates/l1/main_venv.py.tmpl 3.4 KB
- templates/l1/run.sh.tmpl 471 B
- templates/l1/SKILL.md.tmpl 2.9 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.
- 10d ago First seen · 188 lines · 110 tokens per session scan A f9a08071f98a
better-skill-creator is a skill published in the GitHub repository psylch/better-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 110 tokens to every session and 1,953 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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