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 agentmods add skills/wp931120/tiny_agent/hugging-face-tool-buildernpx skills add wp931120/tiny_agent --skill hugging-face-tool-buildergit clone --depth 1 https://github.com/wp931120/tiny_agentWrote 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/wp931120/tiny_agent/hugging-face-tool-builder)<a href="https://agentmods.dev/skills/wp931120/tiny_agent/hugging-face-tool-builder"><img src="https://agentmods.dev/badge/skills/wp931120/tiny_agent/hugging-face-tool-builder.svg" alt="Measured on agentmods" 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 | $0.00067 | $0.01214 |
| Opus 5 | $0.00034 | $0.00607 |
| Sonnet 5 | $0.00013 | $0.00243 |
| Haiku 4.5 | $0.00007 | $0.00121 |
Grade A, and why
hugging-face-tool-builder 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 5d 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.
- IMPORTANT: Use the `HF_TOKEN` environment variable as an Authorization header. For example: `curl -H "Authorization: Bearer ${HF_TOKEN}" https://huggingface.co/api/`. This provides higher rate limits and appropriate au The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
7 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/baseline_hf_api.py 1.3 KB runs code
- references/baseline_hf_api.sh 707 B runs code
- references/baseline_hf_api.tsx 1.2 KB
- references/find_models_by_paper.sh 7.5 KB runs code
- references/hf_enrich_models.sh 2.2 KB runs code
- references/hf_model_card_frontmatter.sh 4.4 KB runs code
- references/hf_model_papers_auth.sh 4.7 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.
- 5d ago First seen · 111 lines · 67 tokens per session scan A ad8ea7af44a9
hugging-face-tool-builder is a skill published in the GitHub repository wp931120/tiny_agent (55 stars, last pushed 6mo ago), with no licence file. It adds 67 tokens to every session and 1,214 once invoked, about $0.0003 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 2026-08-30.
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