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https://github.com/parallel-web/parallel-agent-skills.git
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Matt H
81fac4875e
* Add OpenAI Codex plugin support (dual-manifest) Add .codex-plugin/plugin.json manifest and .agents/plugins/marketplace.json for Codex compatibility. Skills directory is shared between both platforms. * Add .agents/skills symlinks for Codex skill discovery Codex scans .agents/skills/ at the repo root for skill auto-discovery. Symlinks point back to the shared skills/ directory so both platforms read the same SKILL.md files. Codex docs confirm symlink support. * Direct agent to read from output file instead of stdout Codex truncates stdout via max_output_tokens on tool calls, so the JSON results get cut off. The -o flag already saves full results to file — instruct the agent to read from there instead. * Tell agent not to cap output tokens on parallel-cli commands The CLI already bounds output via --max-results and --excerpt-max-chars-total. Adding max_output_tokens on the tool call creates a second truncation layer that breaks JSON parsing. * Add Codex installation instructions to README * Fix enrichment skill: add --output to poll command The --target flag on enrich run doesn't carry over to the poll step, so the output CSV was never written. The poll command needs its own --output flag to save results. * Add --json flag to enrich run commands Without --json, the CLI output isn't structured and the interaction_id can't be parsed for multi-turn context chaining.