quick-brown-foxxx/myai

upstream-source-research

>- ALWAYS LOAD THIS SKILL WHEN RESEARCHING AN UPSTREAM PACKAGE OR HOSTED REPOSITORY SUCH AS GITHUB OR GITLAB FOR SOURCE CODE, ISSUES, REFS, RELEASES, OR COMMIT HISTORY. Do not assume web-only research is enough before reading this skill.

First seen Apr 28, 2026

Installation

$ npx skills add quick-brown-foxxx/myai --skill upstream-source-research

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

License LICENSE
Default branch master
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

LicenseMIT
More metadata
focus
upstream-repo-inspection
tags
research, upstream

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,727 B
  • docs SUMMARY.md 266 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 32 installs

SKILL.md

Upstream Source Research

Decide first whether ordinary web research is enough or whether the task should escalate.

Default Approach

  • Start with the smallest viable method.
  • Prefer hosted views and web fetches for short lookups.
  • Switch to gh, glab, or another relevant CLI when you need better access to issues, PRs, release metadata, tags, or repository navigation.
  • Use a shallow clone into /tmp when you need local source inspection, fast code search, commit history, or broader reading across many files.
  • Keep the goal narrow: inspect and extract conclusions, not set up a long-lived checkout unless the task truly needs one.

When To Escalate Beyond Web

  • The answer depends on real source code across multiple files.
  • You need issue, PR, tag, branch, or release data that is awkward or incomplete via web fetches.
  • Browser, fetch, or API calls are hitting rate limits or other access limits.
  • The investigation is large enough that repeated web requests are slower or noisier than local inspection.
  • You need repository-wide search, blame, or commit-level context.

Tool Choice

  • Prefer gh for GitHub and glab for GitLab when available.
  • Prefer non-interactive CLI commands that return focused data.
  • Prefer lightweight remote inspection such as git ls-remote when refs or tags are enough.
  • Prefer shallow clones such as --depth 1 unless history is part of the question.
  • Deepen incrementally with git fetch --deepen or a larger --depth only if the investigation proves more history is needed.
  • Clone into /tmp by default for temporary inspection work.
  • Avoid turning research checkouts into project dependencies or permanent local state unless the user asks.

Temporary Clone Hygiene

  • Treat /tmp clones as disposable research artifacts.
  • If the clone needs submodules, deeper history, or large assets, keep checking whether that extra weight is actually required.
  • By default, schedule deletion of each temporary upstream source tree for two wall-clock hours after active inspection ends. Use a systemd timer or a safe native equivalent; prefer a user-scoped timer (systemctl --user / systemd-run --user), which needs no sudo and does not trigger a global password prompt. If scheduling is unavailable or fails, state clearly that cleanup is not scheduled.
  • Scope deletion to the exact full tree path beneath the OS temporary dir. Avoid deleting incorrect dirs and any empty, broad, or non-temporary path; never use globs or broad deletion commands.
  • Report the target, cleanup mechanism, trigger time and timezone, and cancellation procedure. If the user wants to preserve the tree, do not schedule cleanup or cancel/drop the timer or job and confirm the tree remains.

Return Value

Return the useful conclusion, the evidence source, and any constraints discovered during research.

If you used a temporary clone, mention where it was created and its cleanup status, including the scheduled mechanism/time and cancellation command when applicable.

Avoid

  • Cloning by habit when one or two web reads would answer the question.
  • Fetching full history when shallow history is enough.
  • Leaving temporary research source trees behind without telling the user.
  • Treating rate-limit friction as a blocker before trying better-suited CLIs or a local clone.