Aditya MathurandGitHub
d4a9df538f
## Summary - Replace the custom `sentry_api.py` script with native Sentry CLI commands, which handle authentication, org/project auto-detection, pagination, and retries out of the box. - Update `SKILL.md` with CLI-based workflows covering issue inspection, trace exploration, log streaming, and a generic API fallback for uncovered endpoints. - Update the agent description in `openai.yaml` to reflect the CLI-based approach. ## Motivation The bundled Python script was a thin wrapper around Sentry's REST API that required manual auth token setup and explicit org/project configuration. The Sentry CLI (`sentry-cli`) handles all of this natively — including interactive auth, DSN-based project detection, and structured JSON output — making the script redundant and the skill simpler to use.
Agent Skills
Agent Skills are folders of instructions, scripts, and resources that AI agents can discover and use to perform at specific tasks. Write once, use everywhere.
Codex uses skills to help package capabilities that teams and individuals can use to complete specific tasks in a repeatable way. This repository catalogs skills for use and distribution with Codex.
Learn more:
Installing a skill
Skills in .system are automatically installed in the latest version of Codex.
To install curated or experimental skills, you can use the $skill-installer inside Codex.
Curated skills can be installed by name (defaults to skills/.curated):
$skill-installer gh-address-comments
For experimental skills, specify the skill folder. For example:
$skill-installer install the create-plan skill from the .experimental folder
Or provide the GitHub directory URL:
$skill-installer install https://github.com/openai/skills/tree/main/skills/.experimental/create-plan
After installing a skill, restart Codex to pick up new skills.
License
The license of an individual skill can be found directly inside the skill's directory inside the LICENSE.txt file.