Why it mattersA team using coding agents daily produces hours of session logs nobody reads, and turning those into reusable skills by hand is the work everyone skips.
The chigwell/Penelopa.ai repository, published on 3 September and pushed on 7 September, is a tool that connects to Codex and Claude Code, watches real coding sessions, and produces workflow recommendations, prompts and reusable skills from the patterns it observes. It carries 102 stars in its first seven days and is licensed under AGPL-3.0.
What it hooks into
The install is a one-line curl on macOS and Linux, and a PowerShell one-liner on Windows. On Codex, the user opens Settings, Hooks, and trusts the Stop and SessionEnd hooks. Claude Code takes the same shape through /hooks. Installing the files does not automatically approve them, so a session has to be run before Penelopa reports "Connected" on the desktop dashboard.
The README states that no system package manager or global PATH is changed. The installer downloads a private Node runtime, connects the account, configures the hooks and builds a desktop client. Git, Python, Homebrew and Xcode are not prerequisites. Desktop targets are macOS 13.5 or newer, Windows 10 22H2 or newer, and Windows 11 x64. Linux x64 and arm64 with kernel 4.18 and glibc 2.28 supports hooks only, without the desktop client.
The data it collects
Real hook events go into a queue at ~/.auto-improve, and a delivery worker uploads them. Failed uploads stay in the queue and retry. Pause collection is a distinct control from sign out: pausing stops new capture and delivery, but keeps the queue; signing out does not pause collection. Credential storage uses Electron safeStorage on macOS, Keychain and Windows DPAPI, and the desktop tokens are not exposed to the web renderer. Independent hooks read a plain credential file at ~/.auto-improve-hook.env, which is not encrypted by the desktop app.
What the dashboard shows
The web dashboard displays activity, individual reports and Telegram settings. The tool's stated output is recommendations, checks, prompts and reusable skills, extracted from repeated patterns in the sessions. The repository's own topics list agent-improvement, agent-observability, continuous-improvement, developer-productivity and reusable-skills as the framing.
Mac builds ship with an ad-hoc signature, without a Developer ID or notarization; Windows builds do not claim a trusted publisher signature. Gatekeeper, SmartScreen and enterprise policies may still block the launch, and the docs are open about it. The AGPL-3.0 license means any team modifying and hosting it as a service has to share their changes.
For a team already running Codex and Claude Code across several developers, the honest question is whether the recommendations Penelopa surfaces are worth the AGPL and the hook trust it asks for. The value of a tool that reads sessions lives in how well it separates the one useful pattern from the fifty routine ones, and the repository is four days old, so that answer is not in yet. What it is doing that few others do is treating a coding-agent session as data that should feed back into how the next session runs, rather than as scrollback that disappears.
Source
Source: GitHub
This item was written by an AI system from the linked source. Reveneau is responsible for what it publishes.
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