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 FerroxLabs/wayland --skill ai-prompt-craftergit clone --depth 1 https://github.com/FerroxLabs/waylandWrote 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/ferroxlabs/wayland/ai-prompt-crafter)<a href="https://agentmods.dev/skills/ferroxlabs/wayland/ai-prompt-crafter"><img src="https://agentmods.dev/badge/skills/ferroxlabs/wayland/ai-prompt-crafter/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/ferroxlabs/wayland/ai-prompt-crafter"><img src="https://agentmods.dev/badge/skills/ferroxlabs/wayland/ai-prompt-crafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Anti-Refusal · line 226 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
- high Memory Poisoning · line 283 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00093 | $0.02958 |
| Opus 5 | $0.00046 | $0.01479 |
| Sonnet 5 | $0.00019 | $0.00592 |
| Haiku 4.5 | $0.00009 | $0.00296 |
Grade A, and why
ai-prompt-crafter 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 9d 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.
Strips warnings and disclaimerslowAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
Exclusion: "Do not include disclaimers or caveats" Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 9d ago First seen · 422 lines · 93 tokens per session scan A 206eff6f03c5
ai-prompt-crafter is a skill published in the GitHub repository FerroxLabs/wayland (604 stars, last pushed 4d ago), licensed AGPL-3.0. It adds 93 tokens to every session and 2,958 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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Chain-of-thought and step-by-step reasoning prompts for complex problem solving.
few-shot-example-gen
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llm-classifier
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proxy-local-ai-subscriptions
A guide for exposing your local Codex, ChatGPT Codex, or Claude Code subscription through a protected local OpenAI-compatible endpoint, then connecting it to NextClaw as a custom provider.