agentsclimarketplace

Remote repository research

Skill nbsp1221/agent-skills/skills/remote-repository-research

🧠 Personal collection of Agent Skills and instructions for AI agents

Install
npx -y skills add nbsp1221/agent-skills --skill remote-repository-research

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when investigating a repository that is not already available locally and the user needs repository-specific understanding of its structure, implementation, maintenance, or relevant files.

SKILL.md

3.4 KB, 639 tokens by cl100k_base, as published. Nobody here has run it

Remote Repository Research

Treat the repository itself as the primary evidence source. Clone first, inspect locally, and use external material only to answer questions the repository does not settle on its own.

When to Use

Use this skill when:

  • The user wants to investigate a repository that is not already present locally
  • The user wants to understand how a remote repository is structured, implemented, or maintained
  • The task requires code-aware repository research, not generic ecosystem research
  • The task benefits from cloning and locally inspecting the repository contents

Do not use this skill when:

  • The repository is already present locally and standard onboarding or local analysis is enough
  • The user wants generic package, framework, or best-practices research without a specific repository target
  • The user only wants GitHub metadata, issues, PRs, or release information
  • The task is code review, implementation, or due-diligence scoring rather than repository understanding

Default Research Loop

  1. Restate the research goal in one sentence before reading anything.
  2. Inspect lightweight remote metadata first: description, default branch, languages, recent activity, release presence.
  3. Clone the repository into a temporary location such as /tmp/remote-repository-research/<repo-name>/ using a shallow clone by default.
  4. Do a topology pass before a deep read. Identify the top-level structure, likely source-of-truth roots, manifests, and whether the repo is single-surface, mixed, or monorepo-shaped.
  5. Infer the apparent repository type or primary analysis lens, then choose inspection roots accordingly.
  6. Inspect the local clone with fast filesystem tools. Prioritize source-of-truth roots, manifests, examples, tests, CI, and automation over polished summaries.
  7. For multi-repository tasks, apply the clone and minimum local evidence threshold to each repository unless you explicitly mark a repository as lower-confidence or incomplete.
  8. Use issues, pull requests, releases, official docs, or external writeups only after the local inspection leaves specific unanswered questions.
  9. Deliver a fixed repository brief. Respond inline by default. Create a markdown document only when the user explicitly asks for a file or written artifact.

If the repository is inaccessible or not practically cloneable from the current environment, say so explicitly and continue with a clearly limited, lower-confidence remote-only investigation.

Non-Negotiable Rules

  • Do not begin with broad web search.
  • Do not stop after reading the README or official docs.
  • Do not treat a token local scan as permission to answer from external summaries.
  • Do not assume examples reflect production architecture without checking the real source tree.
  • Do not bury the most useful files behind a long narrative summary.
  • Do separate observed facts from inference.
  • Do cite concrete local paths or repository URLs for substantive claims.

References

Use these references as needed:

What ships with it: 4 files

10.4 KB alongside SKILL.md

references/

Gives 0 of the 12 instructions most research analysis skills give in 639 tokens

Counted across 1,063 of the 1,754 authors here whose files we hold, read 2026-08-07

  • Generate a markdown reportin 32 of 1063, across 23 files
  • Cite each claim's sourcein 30 of 1063, across 15 files
  • Define the ideal customer profilein 20 of 1063, across 2 files
  • Search for companies matching the criteriain 20 of 1063, across 2 files
  • Assign a fit score from one to tenin 20 of 1063, across 2 files
  • Analyze the codebase to understand the productin 19 of 1063, across 1 file
  • Ask clarifying questions about the value propositionin 19 of 1063, across 1 file
  • Look for signals of immediate needin 19 of 1063, across 1 file
  • Identify the target decision maker rolein 19 of 1063, across 1 file
  • Suggest a personalized contact strategyin 19 of 1063, across 1 file
  • Provide conversation starters for outreachin 19 of 1063, across 1 file
  • Format results in a scannable markdown templatein 19 of 1063, across 1 file

Said here and by no other author read

  • restate the research goal in one sentence
  • inspect lightweight remote metadata first
  • perform a topology pass before a deep read
  • infer the repository type to choose inspection roots
  • inspect the local clone with fast filesystem tools
  • prioritize source-of-truth roots and manifests

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.