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/tw93/pake/pakenpx skills add tw93/Pake --skill pakegit clone --depth 1 https://github.com/tw93/PakeWhat 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 | $0.00119 | $0.01794 |
| Opus 5 | $0.00060 | $0.00897 |
| Sonnet 5 | $0.00024 | $0.00359 |
| Haiku 4.5 | $0.00012 | $0.00179 |
Grade A, and why
pake 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 2d 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.
curl -x http://<proxy-host>:<proxy-port> -o /tmp/icon.png "<icon-url>" --connect-timeout 15 -s The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-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.
- 2d ago First seen · 148 lines · 119 tokens per session scan A e0290624b2a8
pake is a skill published in the GitHub repository tw93/Pake (61,207 stars, last pushed today), licensed GPL-3.0. It adds 119 tokens to every session and 1,794 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 2026-08-30.
Other skills, from other repositories
geo-platform-optimizer
Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually.
split-micro-app
Use when splitting a monorepo surface into a standalone micro app (React Router SSR on Cloudflare Workers), splitting a surface whose rendering code lives in the lobehub-cloud business overlay, fighting SSR bundle bloat from main-src imports, deploying its assets to CDN/R2, adding SEO/OG meta to an SSR page, adding a…
agent-tracing
Agent tracing CLI for execution snapshots. Use for agent-tracing, traces, snapshots, LLM call inspection, context engine data, agent step analysis, execution debugging, or pulling remote/production traces ("拉线上 tracing") by operation id. Also the first stop for debugging agent tool calls — wrong or missing toolcalls…
data-fetching-architecture
LobeHub data-fetching pipeline guide. Use for service layer, Zustand store, SWR, lambdaClient, useClientDataSWR, useFetchXxx hooks, or migrating useEffect fetches.
deep-review
Multi-dimensional code review. Use when the user asks to review, evaluate, or audit a PR, diff, branch, or pasted change — including informal review asks like "look at this change for problems" — via light mode: one independent reviewer against the dimension quick checklists. Not for explain-only questions about what…
ux-audit
Audit a page / surface against the Designing Interfaces pattern language + the ux skill checklists, then land findings. Three layers — static (code), visual (screenshots), dynamic (automated user journey + perf). Use to run a repeatable, standards-based UX review of one screen.