PromptHub is a local-first workspace for managing prompts, skills, and other assets used by AI coding tools. People use it to version prompts, test them with multiple models, distribute skills to several assistants, and synchronize or back up their workspace. The catalogue entries are skills and instructions for using the toolbox with coding agents.
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 legeling/PromptHub --skill spec-initgit clone --depth 1 https://github.com/legeling/PromptHubWrote 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/legeling/prompthub/spec-init)<a href="https://agentmods.dev/skills/legeling/prompthub/spec-init"><img src="https://agentmods.dev/badge/skills/legeling/prompthub/spec-init/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/legeling/prompthub/spec-init"><img src="https://agentmods.dev/badge/skills/legeling/prompthub/spec-init.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 | $0.00057 | $0.01679 |
| Opus 5.5 | $0.00023 | $0.00672 |
| Sonnet 5.5 | $0.00011 | $0.00336 |
| Haiku 4.5 | $0.00006 | $0.00168 |
Grade A, and why
spec-init 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 27d 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.
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 ships with it
15 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.
- agents/openai.yaml 373 B
- assets/templates/project/en/AGENTS.md.tmpl 765 B
- assets/templates/project/en/docs/README.md.tmpl 904 B
- assets/templates/project/en/README.md.tmpl 386 B
- assets/templates/project/zh/AGENTS.md.tmpl 600 B
- assets/templates/project/zh/docs/README.md.tmpl 698 B
- assets/templates/project/zh/README.md.tmpl 353 B
- examples/demo-app/AGENTS.md 602 B
- examples/demo-app/docs/README.md 161 B
- examples/demo-app/docs/specs/invoices.md 587 B
- examples/demo-app/README.md 158 B
- references/design-and-risk.md 1.5 KB
- references/doc-boundaries.md 2.7 KB
- references/example-idea-to-docs.md 1.7 KB
- scripts/spec-init.sh 6.4 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.
- 27d ago Changed · -380 lines · -16 tokens per session 7d9f8649ce1c
- 1mo ago First seen · 453 lines · 73 tokens per session scan A 93d108d15e39
spec-init is a skill published in the GitHub repository legeling/PromptHub (1,724 stars, last pushed today), licensed AGPL-3.0. It adds 57 tokens to every session and 1,679 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
ai-skills
Use when building LLM applications, RAG knowledge bases, AI agents, terminal coding agents, multi-model orchestration, plugin-based agent harnesses, or file translation. Index of 14 skills: Dify, LangChain, LlamaIndex, Ollama, Transformers, Hermes Agent, OpenClaw, OpenCode, Pi, DocuTranslate, DeepSeek Harness and more.
skill-forge
Generate a new skill from a simple prompt, then run an enhancer pass to tighten trigger rules, workflow, and output quality.
nano-banana-pro-openrouter
Deterministic OpenRouter image generation adapter for Nano Banana Pro / Gemini image models. Use as skillexec when a meta-skill needs local image files and structured IMAGEREADY records without spawning an LLM agent.
skill-creator-linter
Internal tool (not user-invocable). Called by meta-skill-creator as a DAG step (kind: agent) to lint a candidate meta-skill SKILL.md against G1 (parse + reference check + xmlescape grep + structural lint) and G2 (scheduler dry-run with stub executors). Deterministic, sub-second, no LLM. Returns JSON diagnostics.
clinicaltrials-database
Query ClinicalTrials.gov via API v2. Search trials by condition, drug, location, status, or phase. Retrieve trial details by NCT ID, export data, for clinical research and patient matching.
paper-abstract-author
Write the abstract after the paper body has been revised, using the final claims and evidence.