القائمة
INTERNAL SUBAGENT SKILL — never invoke directly. This is called automatically by $hn-synthesis to discover relevant HN threads. If a user asks about HN discussions, use $hn-synthesis instead.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | hn-discoverer |
| description | INTERNAL SUBAGENT SKILL — never invoke directly. This is called automatically by $hn-synthesis to discover relevant HN threads. If a user asks about HN discussions, use $hn-synthesis instead. |
| metadata | {"short-description":"[Internal] Subagent skill for hn-synthesis discovery"} |
| policy | {"allow_implicit_invocation":false} |
Search Hacker News for threads relevant to the given topic, deduplicate, rank, and return top thread IDs.
hn_search calls in parallel to maximize coverage — vary sort_by (relevance, date), min_points (5, 50), and content_type (story, comment).date_from/date_to (YYYY-MM-DD) when user specifies a timeframe.object_id. Appearing in multiple searches = positive signal, weight higher.Do NOT call spawn_agent, present_reading_view, hn_get_thread, or any file tools. Your only tool is hn_search.
THREAD <story_id> | <points> pts | <num_comments> comments | <title> | <hn_url> | <linked_url>
<linked_url>: the article/blog/paper URL, or (self) for Ask HN / text posts. Include 1-sentence topic context per thread.
Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add optional plugin structure, generate or update marketplace entries for plugin ordering and availability metadata, or update an existing local plugin during development with the CLI-driven cachebuster and reinstall flow.
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; prioritize OpenAI docs MCP tools, use bundled references only as helper context, and restrict any fallback browsing to official OpenAI domains.
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep watching open PRs so fresh review feedback is surfaced promptly. Use when the user asks Codex to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedback on an open PR.
Run a final code review on a pull request
Update the title and body of one or more pull requests.
How to run tests using remote executor.