mkagenius

7 ms·

121.
Anthropic Skills Can Be Programmatically Optimized (Using DSPy)(instavm.io)
2 points by mkagenius 10mo ago|0 comments
122.
by mkagenius 10mo ago
You can achieve what Skills achieve via function calling somewhat. I've this mental map: Frontmatter <---> Name and arguments of the function Text part of Skill md <---> description field of the function Code part of the Sk
123.
by mkagenius 10mo ago
Yes. Infact you can serve each Skill as a tool exposed via MCP if you want. I did the same to make Skills work with Gemini CLI (or any other tool that supports MCP) while creating open-skills. 1. Open-Skills: https://github.com&#
124.
by mkagenius 10mo ago
Have you tried Claude Code in the second tab instead, that would be a fair comparison.
125.
by mkagenius 10mo ago
I doubt that. MCPs are broader. You can serve a Skill via a MCP but the reverse may not be always true. For example, you can't have a directory named "Stripe-Skills" which will give you a breakdown of last week's revenue
126.
by mkagenius 10mo ago
If anyone wants to use Skills in Gemini CLI or any other llm tool - check out something I have created, open-skills https://github.com/BandarLabs/open-skills It does code execution in an apple container if your Skill
127.
by mkagenius 10mo ago
Anthropic via Azure has sent me an invoice of around $8000 for 3-5 days of Opus 4.1 usage and there is no way to track how many tokens during those days and how many cached etc. (And I thought its part of the azure sponsorship but that&#x27
128.
by mkagenius 10mo ago
> If anything, I think we'll see (another) splintering in the market. Companies with strong internal technical ability vs those that don't. A tangent, I feel, again, unfortunately, the AI is going to divide society into people
129.
by mkagenius 10mo ago
Since this can be a significant security issue for the state, why doesn't the government sponsor a security audit of the software. Does it upload the data or everything is done on the device? (Also, will have to keep up with the update
130.
by mkagenius 10mo ago
If anyone wants to use skills with any other model or tool like Gemini CLI etc. I had created open-skills, which lets you use skills for any other llm. Caveat: needs mac to run Bonus: it runs it locally in a container, not on cloud nor dire
131.
Show HN: I built a mitmproxy AI agent using 4000 paid security disclosures(instavm.io)
2 points by mkagenius 11mo ago|0 comments
132.
I Used 4,000 Paid Bug Bounty Reports to Build a CLI-First Security Agent(instavm.io)
2 points by mkagenius 11mo ago|0 comments
133.
by mkagenius 11mo ago
Surprising that they haven't made a podcast (NotebookLM-esque) based on the repo - that one can listen to on a bus ride. Something I had created a while back https://gitpodcast.com
134.
InstaPoT: Using InstaVM with DSPy's Program of Thought(instavm.io)
2 points by mkagenius 11mo ago|0 comments
135.
by mkagenius 11mo ago
Remember that things a "ceo" of anything says is just what he hears from people he has talked to. Now it doesn't make it obviously wrong, it's just then begs the question who he has been talking to that week. I doubt gar
136.
by mkagenius 11mo ago
> The key to changing everyday behaviour is to make the evaluation of costs (effort) and benefits (rewards) a habit that doesn’t seem too much like hard work. Even for the most apathetic among us, this holds out the hope of turning a kne
137.
Program-of-Thought Prompting Outperforms Chain-of-Thought by 15% (2022)(arxiv.org)
136 points by mkagenius 11mo ago|36 comments
138.
Anti-patterns while working with LLMs(instavm.io)
76 points by mkagenius 11mo ago|24 comments
139.
by mkagenius 11mo ago
Sorry, I didn't elaborate. But "completely local" meant not doing any network calls unless specifically approved. When llm calls are completely local you just need to monitor a few explicit network calls to be sure.
140.
by mkagenius 11mo ago
Sooner or later I believe, there will be models which can be deployed locally on your mac and are as good as say Sonnet 4.5. People should shift to completely local at that point. And use sandbox for executing code generated by llm. Edit: &
141.
by mkagenius 11mo ago
Choice to pick right tool -- there is a benchmark which tracks the accuracy of this. "Known to work" -- if it has a hardcoded code, it will work 100% of the time - that's the point of Skills. If it's just markdown then y
142.
by mkagenius 11mo ago
For data security, you can run sandbox locally too. See https://github.com/instavm/coderunner
143.
by mkagenius 11mo ago
For that, we need sandboxes to run the code in an isolated environment.
144.
by mkagenius 11mo ago
Don't see whats wrong in letting llm decide which tool to call based on a search on long list of tools (or a binary tree of lists in case the list becomes too long, which is essentially what you eluded to with sub-agents)
145.
by mkagenius 11mo ago
I would argue that lot of the tools will be hosted on GitHub - infact, most of the existing repos are potentially a tool (in future). And the discovery is just a GitHub search btw gh repos are already part of training the llm So you don&#x2
146.
by mkagenius 11mo ago
> but I find the sandboxed execution to be painfully inefficient sandbox is not mandatory here. You can execute the skills on your host machine too (with some fidgeting) but it's a good practice and probably for the better to get in
147.
by mkagenius 11mo ago
The difference is that the code in the directory (and the markdown) are hardcoded and known to work beforehand.
148.
by mkagenius 11mo ago
It's definitely not vendor locked. For instance, I have made it work with Gemini with Open-Skills[1]. It is after all a collection of instructions and code that any other llm can read and understand and then do a code execution (via to
149.
by mkagenius 11mo ago
> Skills are the actualization of the dream that was set out by ChatGPT Plugins .. But I have a hypothesis that it might actually work now because the models are actually smart enough for it to work. and earlier Simon Willison argued[1]
150.
by mkagenius 11mo ago
I(non autistic) would love to be friends with someone like you.

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