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 WeaveMindAI/weft --skill weft-deployinggit clone --depth 1 https://github.com/WeaveMindAI/weftWrote 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/weavemindai/weft/weft-deploying)<a href="https://agentmods.dev/skills/weavemindai/weft/weft-deploying"><img src="https://agentmods.dev/badge/skills/weavemindai/weft/weft-deploying/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/weavemindai/weft/weft-deploying"><img src="https://agentmods.dev/badge/skills/weavemindai/weft/weft-deploying.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 | $0.00120 | $0.04873 |
| Opus 5.5 | $0.00048 | $0.01949 |
| Sonnet 5.5 | $0.00024 | $0.00975 |
| Haiku 4.5 | $0.00012 | $0.00487 |
Grade A, and why
weft-deploying 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 4d 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
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 4d ago Changed · +1 lines 3cec13f4c3e8
- 7d ago Changed · +5 lines b8b50d9d1bda
- 8d ago Changed · +6 lines 4a7bb0d1646f
- 10d ago Changed · +1 lines a54efe1a4f2d
- 11d ago Changed · +11 lines 88358d8d4d25
- 12d ago Changed · +23 lines aae693d2632e
- 13d ago Changed · +104 lines · +10 tokens per session ffc12ccf6ba1
- 14d ago Changed 5ee747418628
- 15d ago First seen · 168 lines · 110 tokens per session scan A d2b65d023baa
weft-deploying is a skill published in the GitHub repository WeaveMindAI/weft (2,002 stars, last pushed today), with no licence file. It adds 120 tokens to every session and 4,873 once invoked, about $0.0005 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 2026-10-02.
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