Kstrl
Description
A software factory for AI coding agents. Hand it a spec; it plans, builds, measures the result with checks the agent did not write, feeds the gap back, and stops only when independent checks agree. You stay on the loop, not in it.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
kstrl
AI agents write the code. kstrl makes sure it actually works.
[](https://github.com/0xfauzi/kstrl/actions/workflows/ci.yml) [](https://pypi.org/project/kstrl/) [](pyproject.toml) [](LICENSE)
kstrl (pronounced "kestrel") is a software factory for AI coding agents. Like the bird, it hunts by hovering: it holds position over your codebase, watches everything the agent does, and strikes precisely when something is wrong. You hand it a spec and walk away. It gives the agent the context it needs before it starts, measures what the agent produced with checks the agent did not write, feeds the gap back as the next instruction, and stops only when independent checks agree the work is done.
The problem it solves: a coding agent is powerful and it is also the least reliable witness to its own work. Left alone, it works on one prompt at a time, decides for itself when it is finished, and reports success in the same voice whether the code works or not. kstrl is built on one rule: **nothing the agent says about its own output is the final word.** Every claim is measured by something else, the measurement decides what happens next, and the whole thing runs without you until it reaches a decision only you can make. Because walk-away automation is only trustworthy when you can see what it did, every run streams a typed event log you can watch live in a terminal dashboard, attach to from another terminal, or replay after the fact.
What makes kstrl
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