Show HN: Skillscript – A declarative, sandboxed language for tool orchestration https://ift.tt/C016eYc

Show HN: Skillscript – A declarative, sandboxed language for tool orchestration Hi HN — I'm Scott. Skillscript is a small language I built to write what I want my local agent to actually do, in a form I can read and version, instead of hoping the model gets it right each time. The itch started with something small. I wanted my NanoClaw agent to run my morning brief the same way every day. Check overnight tickets, summarize the deploy pipeline, flag anything urgent. Every session, it would re-figure out how to do this from scratch, drift a little, and cost tokens for what's basically a fixed procedure. I could put it in a system prompt or an MD skill file, but those are still instructions the model reads and reasons about every time. And I wanted it to run autonomously and then hand it to the model to reason over the data. The second thing that pushed me: I wanted to use small local models for the cheap stuff. They're capable, but if you just hand them the wheel, they wander. What I wanted was a way for the frontier model (or me) to write a specific procedure and hand it to the local model to execute, not interpret. The skillscript is the program; the model is the runtime. Skillscript is that. A skillscript is a text file with named steps, variables, conditions, and calls out to tools (MCP connectors, a local model, and shell commands from an operator allowlist). It's deliberately minimal — no eval, no arbitrary imports, no subprocess, no unbounded loops. Bounded language, limited potential for damage. Everything a skillscript can do is in the file. You read it and know. Where it is: pre-1.0 (0.30), MCP-native, self-hosted. Rough edges I know about: first-run setup takes more steps than it should, some of the grammar is still moving, and the local model integration currently assumes Ollama. It works well enough that I use it every day, but I wouldn't necessarily call it production-ready. - Repo: [ https://ift.tt/CfmYpWA ]( https://ift.tt/CfmYpWA ) - Site: [ https://skillscript.ai ]( https://skillscript.ai ) - Docs: [ https://ift.tt/OWmpFGn ]( https://ift.tt/OWmpFGn ) - npm: `skillscript-runtime` I'd welcome critique on two things especially: the language design (is it too small? too big? wrong shape?) and the trust model around agent-authored skills. What would you want to see before you trusted this on your own machine? https://ift.tt/CfmYpWA July 12, 2026 at 03:34AM

Show HN: Only 1 of 4,356 reachable MCP servers is ready for the 2026-07-28 spec https://ift.tt/K0E1Qwp

Show HN: Only 1 of 4,356 reachable MCP servers is ready for the 2026-07-28 spec https://ift.tt/FzfKhmZ July 12, 2026 at 03:21AM

Show HN: Fenzo – Build an interactive course on any topic https://ift.tt/dPOT1em

Show HN: Fenzo – Build an interactive course on any topic https://fenzo.ai/ July 12, 2026 at 12:09AM

Show HN: Mtg – Arcade games for the terminal, in Rust with Ratatui https://ift.tt/JUPleF8

Show HN: Mtg – Arcade games for the terminal, in Rust with Ratatui https://ift.tt/To1S7ys July 11, 2026 at 02:46AM

Show HN: Axletic – a local-first workout tracker for iPhone https://ift.tt/HQvEf9n

Show HN: Axletic – a local-first workout tracker for iPhone Hi HN, I built Axletic, a native iPhone workout tracker focused on making workout logging feel quick and uncomplicated. I drew a lot of inspiration from clean, dark themed apps such as Linear. I felt like a lot of fitness apps out there were too complicated to get started with, messy UI, too many settings etc. This one is made for people that just want to log what they do and understand how it is going. Kinda like a notes app for workout tracking. The core idea is that recording a workout should not interrupt the workout. Axletic lets you log weight, reps, duration, distance, rest periods, and personal notes while keeping the interface deliberately minimal. Beyond logging, it can: - Visualize which muscle groups a workout targeted - Compare an exercise with a previous session or your historical average - Show long-term trends across different training metrics - Search a library of 800+ exercises with photos and instructions - Run rest timers through notifications and Live Activities - Store workout data locally, with optional iCloud sync and backup export/import The app is built natively with SwiftUI, SwiftData, Swift Charts, and ActivityKit. Protecting workout history and keeping the data model reliable have been important parts of the project. I would be super happy if you take a look and leave some feedback. I am happy to answer questions too. This is an early v1, so not perfect, but also not too bad. I have been "living on the edge" with this one for a few months to try and find the right affordances in the UI. Searching for simplicity. 3 times a week I was the user, and wrote myself feedback on things to improve. Please let me know you what you think. I have many ideas for how to evolve this. Thanks a bunch! https://www.axletic.app July 11, 2026 at 01:39AM

Show HN: Richest people in the world by wealth creation instead of ownership https://ift.tt/Y62zspk

Show HN: Richest people in the world by wealth creation instead of ownership https://anti-forbes-list.vercel.app July 10, 2026 at 11:54PM

Show HN: Opula – portfolio and net-worth analysis as a hosted MCP connector https://ift.tt/SiABWkz

Show HN: Opula – portfolio and net-worth analysis as a hosted MCP connector https://opula.io July 10, 2026 at 03:22AM