Install
$ agentstack add skill-galaxyruler-galactic-skills-research-grounding ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README — it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps — measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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
- Before asserting, list the claims that could be stale.
- Search for each — WebSearch for general facts/prices/benchmarks; Context7 for library/SDK/API docs.
- Cite sources inline (name + link). Prefer official/primary sources; check the page date.
- State assumptions explicitly. Label anything you could NOT verify as unverified.
- 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.
- Author: GalaxyRuler
- Source: GalaxyRuler/Galactic-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.