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Research Grounding

skill-galaxyruler-galactic-skills-research-grounding · by GalaxyRuler

Use when giving recommendations, comparing or choosing a tool/library/model/service, estimating costs or pricing, proposing a plan or architecture the user will act on, or stating version/benchmark/"state-of-the-art"/best-option/latest claims that could be outdated. Also use when the user asks "is this grounded?", "are your suggestions online-search grounded?", or to verify a plan before calling…

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Install

$ agentstack add skill-galaxyruler-galactic-skills-research-grounding

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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17d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.

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About

Research Grounding

Overview

Recommendations, comparisons, version facts, prices, and benchmarks drift; training data lags reality. Before presenting any such claim as solid, verify it with a current web search and cite the source. This is a standing, repeatedly-stated user requirement across projects — not optional polish.

When to use

  • Recommending or ranking tools, libraries, models, services, or approaches
  • "Best", "latest", "cheapest", "fastest", "state-of-the-art" claims
  • Version numbers, release status, deprecations, API/SDK shapes
  • Cost / pricing / quota / token-spend estimates
  • Proposing a plan or architecture the user will act on
  • Any external fact that could have changed since training
  • User asks: "is this grounded?", "are your suggestions online-search grounded?"

When NOT: pure reasoning about the user's own code/files, clearly-labeled opinion, or facts the user just supplied.

Workflow

  1. Before asserting, list the claims that could be stale.
  2. Search for each — WebSearch for general facts/prices/benchmarks; Context7 for library/SDK/API docs.
  3. Cite sources inline (name + link). Prefer official/primary sources; check the page date.
  4. State assumptions explicitly. Label anything you could NOT verify as unverified.
  5. Only then present the recommendation/plan as "solid."

Red flags — STOP, search first

  • About to say "best / latest / cheapest / state-of-the-art" with no citation
  • Quoting a price, version, model name, or benchmark from memory
  • A plan hinges on an external tool's current capabilities
  • Thinking "I'm pretty sure this is still true"

Rationalizations — all wrong

| Excuse | Reality | |---|---| | "I already know this" | Training lags; verify anyway. | | "Searching is slower" | A wrong recommendation costs far more rework. | | "It probably hasn't changed" | Prices, models, and APIs change monthly. Check. | | "User is in a hurry" | Ground at least the load-bearing claims. |

Common mistakes

  • Citing a source without reading its date (stale page).
  • Grounding the easy claims, asserting the hard ones from memory.
  • Burying assumptions instead of stating them up front.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.